26 New Unsorted Entries, and Other Miscellaneous Papers

Papers that do not fit in any other chapter (maybe), or where papers are located pending disposition. Sometimes papers are moved out of here to new sections in the other chapters.

26.1 Other Related Papers, Audio, Speech, Signal Processing, Pattern Recognition

Chapter Contents (Back)
Some of these are included because they appear in standard computer vision or iamge processing journals and conferences.

Haralick, R.M.[Robert M.], Haralick, J.G.[Joy Gold],
Behavioral problems of deaf children: Clustering of variables using measures of association and similarity,
PR(3), No. 3, October 1971, pp. 269-280.
Elsevier DOI 0309
BibRef

Pietrantonio, L.[Lucio], Jurs, P.C.[Peter C.],
Iterative least squares development of discriminant functions for spectroscopic data analysis by pattern recognition,
PR(4), No. 4, December 1972, pp. 391-400.
Elsevier DOI 0309
BibRef

Dionne, M.S.[Mark S.], Mackworth, A.K.[Alan K.],
ANTICS: A system for animating LISP programs,
CGIP(7), No. 1, February 1978, pp. 105-119.
Elsevier DOI 0501
BibRef

Eilbert, R.F., Christensen, R.A.,
Contrivedness: the boundary between pattern recognition and numerology,
PR(15), No. 3, 1982, pp. 253-261.
Elsevier DOI 0309
BibRef

Brailovsky, V.L.,
Some procedures for function approximation based on the use of sample data and their application in heuristic methods for solving practical problems,
PR(11), No. 2, 1979, pp. 77-83.
Elsevier DOI 0309
BibRef

Varghese, K.C., Cresswell, C., Towill, D.R., Williams, J.H.,
Test feature selection for a complex electro-hydraulic servo system using frequency response measurements,
PR(14), No. 1-6, 1981, pp. 147-153.
Elsevier DOI 0309
BibRef

Parrish, Jr., E.A., McDonald, Jr., W.E.,
An Adaptive Pattern Analysis System for Isolating EMI,
PR(19), No. 5, 1986, pp. 397-406.
Elsevier DOI 0309
BibRef
And:
An Improved Adaptive Pattern Analysis Algorithm for Isolating EMI,
PR(21), No. 2, 1988, pp. 153-154.
Elsevier DOI 0309
BibRef

Irani, K.B., Yoo, S.I.,
A methodology for solving problems: Problem Modeling and Heuristic Generation,
PAMI(10), No. 5, September 1988, pp. 676-686.
IEEE DOI 0401
BibRef

Chang, K.H., Wee, W.G.,
A planning model with problem analysis and operator hierarchy,
PAMI(10), No. 5, September 1988, pp. 672-675.
IEEE DOI 0401
BibRef

Gong, Y., Haton, J.P.,
Signal-to-string conversion based on high likelihood regions using embedded dynamic programming,
PAMI(13), No. 3, March 1991, pp. 297-302.
IEEE DOI 0401
BibRef
Earlier:
Towards a general signal interpretation system-signal-to-symbol conversion level,
ICPR90(II: 79-84).
IEEE DOI 9208
BibRef

Cem Say, A.C.,
Making use of contradictory behavior information in qualitative reasoning,
PAMI(21), No. 8, August 1999, pp. 781-786.
IEEE DOI 0210
BibRef

Al-Smadi, A.[Adnan], Alshamali, A.[Ahmad],
Fitting ARMA models to linear non-Gaussian processes using higher order statistics,
SP(82), No. 11, November 2002, pp. 1789-1793.
Elsevier DOI 0210
BibRef

Yoon, S.[Seokho], Song, I.[Iickho], Kim, S.Y.[Sun Yong],
Seed accumulating sequential estimation for PN sequence acquisition at low signal-to-noise ratio,
SP(82), No. 11, November 2002, pp. 1795-1799.
Elsevier DOI 0210
BibRef

Eweda, E.[Eweda],
Convergence analysis of the sign algorithm with badly behaved noise,
SP(83), No. 1, January 2003, pp. 57-65.
HTML Version. 0211
BibRef

Corinthios, M.J.,
Generalisation of the Dirac-delta impulse extending Laplace and Z-transform domains,
VISP(150), No. 2, April 2003, pp. 69-81.
IEEE Abstract. 0307
BibRef
And: Erratum: VISP(150), No. 4, October 2003, pp. 339-339.
IEEE Abstract. 0401
BibRef

Béchet, F., de Mori, R., Janiszek, D.,
Data augmentation and language model adaptation using singular value decomposition,
PRL(25), No. 1, January 2004, pp. 15-19.
Elsevier DOI 0311
BibRef

Cheded, L.,
Theory for fast and cost-effective frequency response estimation of systems,
VISP(151), No. 6, December 2004, pp. 467-479.
IEEE Abstract. 0501
BibRef

Brahim-Belhouari, S.[Sofiane], Bermak, A.[Amine],
Gas identification using density models,
PRL(26), No. 6, 1 May 2005, pp. 699-706.
Elsevier DOI 0501
BibRef

Kalatzis, I.[Ioannis], Piliouras, N.[Nikolaos], Ventouras, E.[Eric], Papageorgiou, C.C.[Charalabos C.], Liappas, I.A.[Ioannis A.], Nikolaou, C.C.[Chrysoula C.], Rabavilas, A.D.[Andreas D.], Cavouras, D.D.[Dionisis D.],
Design and implementation of a multi-PNN structure for discriminating one-month abstinent heroin addicts from healthy controls using the P600 component of ERP signals,
PRL(26), No. 11, August 2005, pp. 1691-1700.
Elsevier DOI 0506
BibRef

Shen, W., Lang, S.Y.T., Wang, L.,
iShopFloor: An Internet-Enabled Agent-Based Intelligent Shop Floor,
SMC-C(35), No. 3, August 2005, pp. 371-381.
IEEE DOI 0508
BibRef

Aleotti, J., Caselli, S., Reggiani, M.,
Evaluation of virtual fixtures for a robot programming by demonstration interface,
SMC-A(35), No. 4, July 2005, pp. 536-545.
IEEE DOI 0508
BibRef

Tseng, C.H.,
Identification of cubically nonlinear systems excited by bandpass inputs,
VISP(152), No. 5, October 2005, pp. 649-658.
DOI Link 0512
BibRef

Sivakumar, B., SubhaRani, S., Shanmugam, A.,
Performance Evaluation of Neural Tuned Successive Interference Canceller,
GVIP(05), No. V8, 2005, pp. xx-yy.
HTML Version. BibRef 0500

Mazeroff, G.[Geoffrey], Gregor, J.[Jens], Thomason, M.[Michael], Ford, R.[Richard],
Probabilistic suffix models for API sequence analysis of Windows XP applications,
PR(41), No. 1, January 2008, pp. 90-101.
Elsevier DOI 0710
Probabilistic suffix model; API sequence classification; Anomaly detection; Agglomerative clustering; Malicious mobile code; Virus; Worm BibRef

Besson, O., Orlando, D.,
Adaptive Detection in Nonhomogeneous Environments Using the Generalized Eigenrelation,
SPLetters(14), No. 10, October 2007, pp. 731-734.
IEEE DOI 0711
BibRef

Moreno, R.A.[Raul Arrabales], Sanchis de Miguel, A.[Araceli],
Applying machine consciousness models in autonomous situated agents,
PRL(29), No. 8, 1 June 2008, pp. 1033-1038.
Elsevier DOI 0804
Machine consciousness; Situated agents; Attention; Models of mind BibRef

Hicks, B.J., Mullineux, G., Medland, A.J.,
Automatic Model Creation for Kinematic Analysis and Optimization Of Engineering Systems,
IJIG(5), No. 3, July 2005, pp. 481-499. 0507
BibRef

Kato, Y.[Yuki], Akutsu, T.[Tatsuya], Seki, H.[Hiroyuki],
A grammatical approach to RNA-RNA interaction prediction,
PR(42), No. 4, April 2009, pp. 531-538.
Elsevier DOI 0812
RNA-RNA interaction; Joint secondary structure; Kissing hairpin; Multiple context-free grammar BibRef

Troncale, S.[Sylvie], Comet, J.P.[Jean-Paul], Bernot, G.[Gilles],
Enzymatic competition: Modeling and verification with timed hybrid petri nets,
PR(42), No. 4, April 2009, pp. 562-566.
Elsevier DOI 0812
Metamorphosis; Verification; Timed hybrid petri nets; Model checking BibRef

Zhang, C.Y.[Cheng-Yang], Huang, Y.[Yan],
Cloaking locations for anonymous location based services: A hybrid approach,
GeoInfo(13), No. 2, June 2009, pp. xx-yy.
Springer DOI 0903
Not image based. BibRef

Berger, F.[Florian], Klein, R.[Rolf], Nussbaum, D.[Doron], Sack, J.R.[Jörg-Rüdiger], Yi, J.[Jiehua],
A meeting scheduling problem respecting time and space,
GeoInfo(13), No. 4, December 2009, pp. xx-yy.
Springer DOI 0909
BibRef

Nagoya, A.[Atsushi], Ono, Y.[Yujiro], Ichino, M.[Manabu],
Detection of chain structures embedded in multidimensional symbolic data,
PRL(30), No. 11, 1 August 2009, pp. 951-959.
Elsevier DOI 0909
Symbolic data analysis; Cartesian system model; Chain; Locally monotonic chain BibRef

Petitjean, J.[Julien], Grivel, E.[Eric], Bobillet, W.[William], Roussilhe, P.[Patrick],
Multichannel AR parameter estimation from noisy observations as an errors-in-variables issue,
SIViP(4), No. 2, June 2010, pp. xx-yy.
Springer DOI 1006
BibRef

Vaidyanathan, P.P., Pal, P.,
System Identification With Sparse Coprime Sensing,
SPLetters(17), No. 10, October 2010, pp. 823-826.
IEEE DOI 1008
BibRef

Bouveyron, C.[Charles], Jacques, J.[Julien],
Adaptive linear models for regression: Improving prediction when population has changed,
PRL(31), No. 14, 15 October 2010, pp. 2237-2247.
Elsevier DOI 1003
Regression adaptive; Estimation; Knowledge transfer; Linear transformation models; Housing market in different U.S. cities BibRef

Ho, S.S.[Shen-Shyang], Wechsler, H.[Harry],
A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability,
PAMI(32), No. 12, December 2010, pp. 2113-2127.
IEEE DOI 1011
One-D signals. BibRef

Barpanda, S.S.[Soubhagya Sankar], Biswal, B.N.[Baikuntha Narayan], Mohaptra, D.P.[Durga Prasad],
Contradictory graph colouring algorithm to compute slice of concurrent object-oriented programs,
IJCVR(1), No. 2, 2010, pp. 158-168.
DOI Link 1011
BibRef

Ryu, Y.,
A Flash Translation Layer for NAND Flash-Based Multimedia Storage Devices,
MultMed(13), No. 3, 2011, pp. 563-572.
IEEE DOI 1106
BibRef

Sharma, K.K.,
Vector Sampling Expansions and Linear Canonical Transform,
SPLetters(18), No. 10, October 2011, pp. 583-586.
IEEE DOI 1109
BibRef

Sharma, K.K.,
Comments on 'Generalized Sampling Expansion for Bandlimited Signals Associated With Fractional Fourier Transform',
SPLetters(18), No. 12, December 2011, pp. 761.
IEEE DOI 1112
BibRef

van Mieghem, P.,
Human Psychology of Common Appraisal: The Reddit Score,
MultMed(13), No. 6, 2011, pp. 1404-1406.
IEEE DOI 1112
BibRef

Dewar, M., Wiggins, C., Wood, F.,
Inference in Hidden Markov Models with Explicit State Duration Distributions,
SPLetters(19), No. 4, April 2012, pp. 235-238.
IEEE DOI 1203
BibRef

Miller, B.A., Bliss, N.T.,
A Stochastic System for Large Network Growth,
SPLetters(19), No. 6, June 2012, pp. 356-359.
IEEE DOI 1202
BibRef

Ilic, V.M.[Velimir M.], Mancev, D.I.[Dejan I.], Todorovic, B.T.[Branimir T.], Stankovic, M.S.[Miomir S.],
Gradient computation in linear-chain conditional random fields using the entropy message passing algorithm,
PRL(33), No. 13, 1 October 2012, pp. 1776-1784.
Elsevier DOI 1208
Conditional random fields; Expectation semiring; Forward-backward algorithm; Gradient computation; Graphical models; Message passing BibRef

Yang, Y.[Yang], Tang, X.[Xiaohu], Zhou, Z.C.[Zheng-Chun],
Perfect Gaussian Integer Sequences of Odd Prime Length,
SPLetters(19), No. 10, October 2012, pp. 615-618.
IEEE DOI 1209
BibRef

Sugiura, S., Ichiki, A., Tadokoro, Y.,
Stochastic-Resonance Based Iterative Detection for Serially-Concatenated Turbo Codes,
SPLetters(19), No. 10, October 2012, pp. 655-658.
IEEE DOI 1209
BibRef

Gurari, N., Kuchenbecker, K.J., Okamura, A.M.,
Perception of Springs With Visual and Proprioceptive Motion Cues: Implications for Prosthetics,
HMS(43), No. 1, January 2013, pp. 102-114.
IEEE DOI 1301
Prosthetic feedback, not just watching. BibRef

Buscema, M., Grossi, E., Bronstein, A.M., Lodwick, W., Asadi-Zeydabadi, M., Benzi, R., Newman, F.,
A New Algorithm for Identifying Possible Epidemic Sources with Application to the German Escherichia coli Outbreak,
IJGI(2), No. 1, 2013, pp. 155-200.
DOI Link 1303
BibRef

Selva, J.,
Estimation Models for Nonuniformly Sampled Signals: Application to Multiple Delay Estimation,
SPLetters(20), No. 6, 2013, pp. 579-582.
IEEE DOI 1307
sampling methods BibRef

Zhang, B.[Bo], Chen, H.[Hong], El-Hajjar, M., Maunder, R., Hanzo, L.,
Distributed Multiple-Component Turbo Codes for Cooperative Hybrid ARQ,
SPLetters(20), No. 6, 2013, pp. 599-602.
IEEE DOI 1307
Cooperative Automatic Repeat Request (CARQ) aided systems. distributed multiple-component turbo codes BibRef

Wang, Z.X.[Zhi-Xin], Chan, C.F.[Cheung-Fat],
Two-Dimension Common Factor Decomposition of Head-Related Impulse Response,
SPLetters(20), No. 8, 2013, pp. 795-798.
IEEE DOI 1307
IIR filters BibRef

Danjean, L., Vasic, B., Marcellin, M.W., Declercq, D.,
Interval-Passing Algorithm for Chemical Mixture Estimation,
SPLetters(20), No. 9, 2013, pp. 849-852.
IEEE DOI 1308
chemical engineering computing BibRef

Sethi, R.J.[Ricky J.], Jo, H.J.[Hyun-Joon], Gil, Y.[Yolanda],
Structured analysis of the ISI Atomic Pair Actions dataset using workflows,
PRL(34), No. 15, 2013, pp. 2023-2032.
Elsevier DOI 1309
Atomic Pair Action BibRef

Chen, G.Y., Krishnan, S., Bui, T.D.,
Matrix-Based Ramanujan-Sums Transforms,
SPLetters(20), No. 10, 2013, pp. 941-944.
IEEE DOI 1309
BibRef

Holder, E.J.,
Orthogonal Space Projection (OSP) Processing for Adaptive Interference Cancellation,
SPLetters(21), No. 8, August 2014, pp. 980-984.
IEEE DOI 1406
Arrays BibRef

Cai, K., Li, H., Mitola, J.,
Exploiting Spectral Regrowth for Channel Identification,
SPLetters(21), No. 9, September 2014, pp. 1050-1053.
IEEE DOI 1406
Bandwidth BibRef

Zayyani, H.,
Continuous Mixed p-Norm Adaptive Algorithm for System Identification,
SPLetters(21), No. 9, September 2014, pp. 1108-1110.
IEEE DOI 1406
Adaptive algorithms BibRef

Seneviratne, A.J., Solo, V.,
Group Sparsity via SURE Based on Regression Parameter Mean Squared Error,
SPLetters(21), No. 9, September 2014, pp. 1125-1129.
IEEE DOI 1406
Computational modeling BibRef

Manisera, M.[Marica], Zuccolotto, P.[Paola],
Modeling 'don't know' responses in rating scales,
PRL(45), No. 1, 2014, pp. 226-234.
Elsevier DOI 1407
Rating data BibRef

Tsakonas, E., Jalden, J., Sidiropoulos, N.D., Ottersten, B.,
Convergence of the Huber Regression M-Estimate in the Presence of Dense Outliers,
SPLetters(21), No. 10, October 2014, pp. 1211-1214.
IEEE DOI 1407
Convergence BibRef

Drugman, T., Stylianou, Y.,
Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra,
SPLetters(21), No. 10, October 2014, pp. 1230-1234.
IEEE DOI 1407
Frequency estimation BibRef

Xu, Y.F.[Yin-Fei], Wang, Q.[Qiao],
Asymptotical Optimality of Sequential Universal Hypothesis Testing Based on the Method of Types,
SPLetters(21), No. 11, November 2014, pp. 1316-1320.
IEEE DOI 1408
entropy BibRef

Kuhn, E.V., das Chagas de Souza, F., Seara, R., Morgan, D.R.,
On the Steady-State Analysis of PNLMS-Type Algorithms for Correlated Gaussian Input Data,
SPLetters(21), No. 11, November 2014, pp. 1433-1437.
IEEE DOI 1408
Gaussian processes BibRef

Chitour, Y., Couillet, R., Pascal, F.,
On the Convergence of Maronna's M-Estimators of Scatter,
SPLetters(22), No. 6, June 2015, pp. 709-712.
IEEE DOI 1411
Convergence BibRef

Gottlieb, L., Friedland, G., Choi, J., Kelm, P., Sikora, T.,
Creating Experts From the Crowd: Techniques for Finding Workers for Difficult Tasks,
MultMed(16), No. 7, November 2014, pp. 2075-2079.
IEEE DOI 1411
social networking (online) BibRef

Raza, H.[Haider], Prasad, G.[Girijesh], Li, Y.H.[Yu-Hua],
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments,
PR(48), No. 3, 2015, pp. 659-669.
Elsevier DOI 1412
Non-stationary environments BibRef

Cohen, J.E., Farias, R.C., Comon, P.,
Fast Decomposition of Large Nonnegative Tensors,
SPLetters(22), No. 7, July 2015, pp. 862-866.
IEEE DOI 1412
Big Data BibRef

Behbahani, S.[Soroor], Nasrabadi, A.M.[Ali Motie],
The relation of susceptibility levels of hypnosis and different mental tasks,
SIViP(9), No. 4, May 2015, pp. 903-911.
WWW Link. 1504
BibRef

Liu, G., Huang, X., Guo, W., Niu, Y., Chen, G.,
Multilayer Obstacle-Avoiding X-Architecture Steiner Minimal Tree Construction Based on Particle Swarm Optimization,
Cyber(45), No. 5, May 2015, pp. 989-1002.
IEEE DOI 1505
Algorithm design and analysis very large scale integration routing. BibRef

Yang, G.[Gang], Wang, Y.[Yan], Guo, L.[Lei],
A sparser reduced set density estimator by introducing weighted L_1 penalty term,
PRL(58), No. 1, 2015, pp. 15-22.
Elsevier DOI 1505
Reduced set density estimator BibRef

Yu, W., Yang, K., Bai, Y., Yao, H., Rui, Y.,
Learning Cross Space Mapping via DNN Using Large Scale Click-Through Logs,
MultMed(17), No. 11, November 2015, pp. 2000-2007.
IEEE DOI 1511
Feature extraction BibRef

Fernández-Montes, A.[Alejandro], Fernández-Cerero, D.[Damián], González-Abril, L.[Luis], Álvarez-García, J.A.[Juan Antonio], Ortega, J.A.[Juan Antonio],
Energy wasting at internet data centers due to fear,
PRL(67, Part 1), No. 1, 2015, pp. 59-65.
Elsevier DOI 1511
Costs of fear BibRef

Ruiz, F.J.[Francisco J.], Raya, C.[Cristóbal], Samà, A.[Albert], Agell, N.[Núria],
A transformational creativity tool to support chocolate designers,
PRL(67, Part 1), No. 1, 2015, pp. 75-80.
Elsevier DOI 1511
Cognigtive system BibRef

Olteteanu, A.M.[Ana-Maria], Falomir, Z.[Zoe],
comRAT-C: A computational compound Remote Associates Test solver based on language data and its comparison to human performance,
PRL(67, Part 1), No. 1, 2015, pp. 81-90.
Elsevier DOI 1511
Computational creativity BibRef

Pal, S.K.[Sankar K.], Meher, S.K.[Saroj K.], Skowron, A.[Andrzej],
Data science, big data and granular mining,
PRL(67, Part 2), No. 1, 2015, pp. 109-112.
Elsevier DOI 1512
BibRef

Livi, L.[Lorenzo], Sadeghian, A.[Alireza],
Data granulation by the principles of uncertainty,
PRL(67, Part 2), No. 1, 2015, pp. 113-121.
Elsevier DOI 1512
Data granulation BibRef

Su, J., Sheng, Z., Wen, G., Leung, V.C.M.,
A Time Efficient Tag Identification Algorithm Using Dual Prefix Probe Scheme (DPPS),
SPLetters(23), No. 3, March 2016, pp. 386-389.
IEEE DOI 1603
radiofrequency identification BibRef

Pastor, G., Mora-Jiménez, I., Caamaño, A.J., Jäntti, R.,
Asymptotic Expansions for Heavy-Tailed Data,
SPLetters(23), No. 4, April 2016, pp. 444-448.
IEEE DOI 1604
Biological system modeling BibRef

Nguyen, V.K., Turley, M.D.E., Fabrizio, G.A.,
A New Data Extrapolation Approach Based on Spectral Partitioning,
SPLetters(23), No. 4, April 2016, pp. 454-458.
IEEE DOI 1604
Data models BibRef

Dai, L., Schön, T.B.,
Using Convolution to Estimate the Score Function for Intractable State-Transition Models,
SPLetters(23), No. 4, April 2016, pp. 498-501.
IEEE DOI 1604
Convergence BibRef

Wang, C., Kemao, Q., Da, F.,
Regenerated Phase-Shifted Sinusoid-Assisted Empirical Mode Decomposition,
SPLetters(23), No. 4, April 2016, pp. 556-560.
IEEE DOI 1604
Empirical mode decomposition BibRef

Sheth, A., Anantharam, P., Henson, C.,
Semantic, Cognitive, and Perceptual Computing: Paradigms That Shape Human Experience,
Computer(49), No. 3, March 2016, pp. 64-72.
IEEE DOI 1604
Artificial intelligence BibRef

Shen, Q., Liu, W., Cui, W., Wu, S.,
Extension of Co-Prime Arrays Based on the Fourth-Order Difference Co-Array Concept,
SPLetters(23), No. 5, May 2016, pp. 615-619.
IEEE DOI 1604
Array signal processing BibRef

Torokhti, A.[Anatoli], Soto-Quiros, P.[Pablo],
Generalized Brillinger-Like Transforms,
SPLetters(23), No. 6, June 2016, pp. 843-847.
IEEE DOI 1606
BibRef

Sandell, M., Tosato, F., Ismail, A.,
Efficient Demodulation of General APSK Constellations,
SPLetters(23), No. 6, June 2016, pp. 868-872.
IEEE DOI 1606
amplitude shift keying BibRef

Cui, J., Ding, Z., Fan, P.,
A Novel Power Allocation Scheme Under Outage Constraints in NOMA Systems,
SPLetters(23), No. 9, September 2016, pp. 1226-1230.
IEEE DOI 1609
decoding BibRef

Sheenam, Mishra, D., Rath, A., Zhang, D., Mahalik, N.P.,
Bio-inspired technology systems and data analysis methods for classification and subsequent decision making intended for automated systems,
IJCVR(6), No. 4, 2016, pp. 381-398.
DOI Link 1610
BibRef

Mohi-Aldeen, S.M.[Shayma Mustafa], Mohamad, R.[Radziah], Deris, S.[Safaai],
Automated path testing using the negative selection algorithm,
IJCVR(7), No. 1/2, 2017, pp. 160-171.
DOI Link 1701
Software testing. BibRef

Fafoutis, X., Marchegiani, L., Papadopoulos, G.Z., Piechocki, R., Tryfonas, T., Oikonomou, G.,
Privacy Leakage of Physical Activity Levels in Wireless Embedded Wearable Systems,
SPLetters(24), No. 2, February 2017, pp. 136-140.
IEEE DOI 1702
data privacy BibRef

Sadeghi, M.[Mostafa], Babaie-Zadeh, M.[Massoud],
Incoherent Unit-Norm Frame Design via an Alternating Minimization Penalty Method,
SPLetters(24), No. 1, January 2017, pp. 32-36.
IEEE DOI 1702
minimisation BibRef

Kolvoord, R.[Robert], Keranen, K.[Kathryn], Rittenhouse, P.[Paul],
Applications of Location-Based Services and Mobile Technologies in K-12 Classrooms,
IJGI(6), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Hefron, R.G.[Ryan G.], Borghetti, B.J.[Brett J.], Christensen, J.C.[James C.], Kabban, C.M.S.[Christine M. Schubert],
Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation,
PRL(94), No. 1, 2017, pp. 96-104.
Elsevier DOI 1708
Psychophysiological, workload, estimation BibRef

Haley, C.L., Anitescu, M.,
Optimal Bandwidth for Multitaper Spectrum Estimation,
SPLetters(24), No. 11, November 2017, pp. 1696-1700.
IEEE DOI 1710
Bandwidth, Cepstrum, Frequency estimation, Spectral analysis, Splines (mathematics), Systematics, Taylor series, Bandwidth, cepstrum, multitaper, spectrum, analysis BibRef

Gulcu, T.C., Ozaktas, H.M.,
Universal Lower Bound for Finite-Sample Reconstruction Error and Its Relation to Prolate Spheroidal Functions,
SPLetters(25), No. 1, January 2018, pp. 50-54.
IEEE DOI 1801
approximation theory, interpolation, signal reconstruction, finite energy signal, finite number, uncertainty relationship BibRef

Zidane, M.[Mohammed], Safi, S.[Said], Sabri, M.[Mohamed],
Extending HOC-based methods for identifying the diagonal parameters of quadratic systems,
SIViP(12), No. 1, January 2018, pp. 125-132.
Springer DOI 1801
Higher order cumulants. BibRef

Li, P.[Po], Zhang, Q.H.[Qing-Hai],
An improved Viterbi algorithm for IF extraction of multicomponent signals,
SIViP(12), No. 1, January 2018, pp. 171-179.
Springer DOI 1801
Viterbi algorithm applied to time-frequency representation is a highly performed instantaneous frequency estimator. BibRef

Rashid, E.[Ekbal],
Exploring necessity and utility of lightweight android chatting application,
IJCVR(8), No. 2, 2018, pp. 221-240.
DOI Link 1806
BibRef

Lu, L., Zhao, H., Champagne, B.,
Distributed Nonlinear System Identification in alpha-Stable Noise,
SPLetters(25), No. 7, July 2018, pp. 979-983.
IEEE DOI 1807
Volterra equations, diffusion, distributed processing, impulse noise, interpolation, least mean squares methods, sparse filter BibRef

Joseph, G., Murthy, C.R.,
On the Observability of a Linear System With a Sparse Initial State,
SPLetters(25), No. 7, July 2018, pp. 994-998.
IEEE DOI 1807
compressed sensing, convex programming, iterative methods, linear systems, matrix algebra, observability, probability, vectors, restricted isometry property BibRef

Bachmann, D.[Daniel], Bökler, F.[Fritz], Kopec, J.[Jakob], Popp, K.[Kira], Schwarze, B.[Björn], Weichert, F.[Frank],
Multi-Objective Optimisation Based Planning of Power-Line Grid Expansions,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Asukai, S.[Shota], Yamamoto, K.[Kayoko],
A Recommendation System Regarding Meeting Places for Groups during Events,
IJGI(7), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Zou, Q., Zhang, H., Wen, C., Jin, S., Yu, R.,
Concise Derivation for Generalized Approximate Message Passing Using Expectation Propagation,
SPLetters(25), No. 12, December 2018, pp. 1835-1839.
IEEE DOI 1812
approximation theory, expectation-maximisation algorithm, Gaussian processes, message passing, probability, Gaussian reproduction property BibRef

Zhang, Y.[Ya],
Research on key technologies of remote design of mechanical products based on artificial intelligence,
JVCIR(60), 2019, pp. 250-257.
Elsevier DOI 1903
Artificial intelligence, Machinery, Remote design, Image processing BibRef

Dokmanic, I.,
Permutations Unlabeled Beyond Sampling Unknown,
SPLetters(26), No. 6, June 2019, pp. 823-827.
IEEE DOI 1906
Gaussian processes, geometry, matrix algebra, probability, random processes, vector space geometry, unknown transformation BibRef

Liu, F.[Fang], Feng, Y.X.[Yong-Xin],
Sparse compression algorithm for MBOK signals,
SIViP(13), No. 5, July 2019, pp. 861-869.
Springer DOI 1906
Spread sprectrum communications. BibRef

Nan, L.D.[Liu Dun], Rui, H.[Hou], Qiang, L.[Li], Ning, Z.N.[Zhao Ning], Rui, G.[Ge], Yi, L.[Lu],
Research on fuzzy enhancement algorithms for infrared image recognition quality of power internet of things equipment based on membership function,
JVCIR(62), 2019, pp. 359-367.
Elsevier DOI 1908
Power grid. Power internet of things, Image recognition quality, Membership function, Image enhancement, Quality model BibRef

Sedighizad, M., Seyfe, B.,
Gradient of the Mutual Information in Stochastic Systems: A Functional Approach,
SPLetters(26), No. 10, October 2019, pp. 1521-1525.
IEEE DOI 1909
Stochastic systems, Additives, Random variables, Sensitivity analysis, Mutual information, Correlation, log-likelihood function BibRef

Kok, M., Schön, T.B.,
A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors,
SPLetters(26), No. 11, November 2019, pp. 1673-1677.
IEEE DOI 1911
Magnetometers, Sensors, Accelerometers, Gyroscopes, Quaternions, Estimation, Signal processing algorithms, Orientation estimation, multiplicative extended Kalman filter BibRef

Flacke, J.[Johannes], Shrestha, R.[Rehana], Aguilar, R.[Rosa],
Strengthening Participation Using Interactive Planning Support Systems: A Systematic Review,
IJGI(9), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Takeuchi, K.,
Convolutional Approximate Message-Passing,
SPLetters(27), 2020, pp. 416-420.
IEEE DOI 2004
Sensors, Complexity theory, Convolution, Estimation error, Signal processing algorithms, Convergence, Numerical models, state evolution BibRef

Diakoloukas, V.[Vassilios], Lygerakis, F.[Fotios], Lagoudakis, M.G.[Michail G.], Kotti, M.[Margarita],
Variational Denoising Autoencoders and Least-Squares Policy Iteration for Statistical Dialogue Managers,
SPLetters(27), 2020, pp. 960-964.
IEEE DOI 2007
Noise reduction, Signal processing algorithms, Encoding, Training, Optimization, Approximation algorithms, Degradation, least-squares policy iteration BibRef

Zhang, D.X.[Dong-Xiang], Wang, L.[Lei], Zhang, L.M.[Lu-Ming], Dai, B.T.[Bing Tian], Shen, H.T.[Heng Tao],
The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers,
PAMI(42), No. 9, September 2020, pp. 2287-2305.
IEEE DOI 2008
Semantics, Feature extraction, Mathematical model, Cognition, Natural languages, Deep learning, Math word problem, machine learning BibRef

Jiang, X., Wu, S.,
A Novel Parameter Estimation for Polynomial Phase Signals Using the Spectrum Phase,
SPLetters(27), 2020, pp. 1919-1923.
IEEE DOI 2011
IP networks, Signal to noise ratio, Discrete Fourier transforms, Parameter estimation, Estimation, Simulation, polynomial phase signals BibRef

Jiang, X., Wu, S., Chen, Y., Qiu, L.,
Parameter Estimation for Sinusoidal Frequency-Modulated Signals Using Phase Modulation,
SPLetters(28), 2021, pp. 76-80.
IEEE DOI 2101
Frequency modulation, Phase modulation, Estimation, Signal to noise ratio, Frequency estimation, sinusoidal frequency-modulated signals BibRef

Socheleau, F.X.[Francois-Xavier],
A Multifamily GLRT for CFAR Detection of Signals in a Union of Subspaces,
SPLetters(27), 2020, pp. 2104-2108.
IEEE DOI 2012
Detectors, Random variables, Transforms, Probability density function, Standards, Numerical models, subspace detection BibRef

Singh, B.K.[Brajesh Kumar], Tiwari, S.[Shailesh], Mishra, K.K.[Krishn Kumar], Punhani, A.[Akash],
Extended COCOMO: robust and interpretable neuro-fuzzy modelling,
IJCVR(11), No. 1, 2021, pp. 41-65.
DOI Link 2012
Software cost estimation. BibRef

Hussain, N.[Nazar], Farooque, A.A.[Aitazaz A.], Schumann, A.W.[Arnold W.], McKenzie-Gopsill, A.[Andrew], Esau, T.[Travis], Abbas, F.[Farhat], Acharya, B.[Bishnu], Zaman, Q.[Qamar],
Design and Development of a Smart Variable Rate Sprayer Using Deep Learning,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Li, L., Huang, Z., Zhou, J.,
A Two-Stage Maximum a Posterior Probability Method for Blind Identification of LDPC Codes,
SPLetters(28), 2021, pp. 111-115.
IEEE DOI 2101
Parity check codes, Gaussian distribution, Signal to noise ratio, Probability distribution, Binary phase shift keying, probability distribution BibRef

Stuart, Z.K.[Zahraa Krayem], El-Laham, Y.[Yousef], Bugallo, M.F.[Mónica F.],
Robust Frequency and Phase Estimation for Three-Phase Power Systems Using a Bank of Kalman Filters,
SPLetters(28), 2021, pp. 1235-1239.
IEEE DOI 2106
Frequency estimation, Kalman filters, Estimation, Power systems, Mathematical model, Synchronization, Computational modeling, three-phase power systems BibRef

Jing, S.W.[Shi-Wei], Guo, Y.[Yuan], Chen, W.[Wei],
Meaningful ciphertext encryption algorithm based on bit scrambling, discrete wavelet transform, and improved chaos,
IET-IPR(15), No. 5, 2021, pp. 1053-1071.
DOI Link 2106
BibRef

Dong, X.X.[Xiang-Xiang], Battistelli, G.[Giorgio], Chisci, L.[Luigi], Cai, Y.Z.[Yun-Ze],
An Adaptive Consensus Filter for Distributed State Estimation With Unknown Noise Statistics,
SPLetters(28), 2021, pp. 1595-1599.
IEEE DOI 2108
Peer-to-peer computing, Noise measurement, Handheld computers, Covariance matrices, Bayes methods, Adaptive systems, variational Bayes (VB) method BibRef

Sheng, J.J.[Jun-Jie], Hu, Y.Q.[Yi-Qiu], Zhou, W.L.[Wen-Li], Zhu, L.[Lei], Jin, B.[Bo], Wang, J.[Jun], Wang, X.F.[Xiang-Feng],
Learning to schedule multi-NUMA virtual machines via reinforcement learning,
PR(121), 2022, pp. 108254.
Elsevier DOI 2109
Dynamic virtual machine scheduling, Multi-NUMA, Reinforcement learning, Cloud computing BibRef

Gong, Y.C.[Yi-Cheng], Gan, L.[Lu], Liu, H.Q.[Hong-Qing],
Multi-Channel Modulo Samplers Constructed From Gaussian Integers,
SPLetters(28), 2021, pp. 1828-1832.
IEEE DOI 2109
Dynamic range, Cathode ray tubes, Image reconstruction, Calibration, Telecommunications, Simulation, Signal representation, Gaussian integers BibRef

Adhikari, K.[Kaushallya], Kay, S.[Steven],
Optimal Sparse Sampling for Detection of a Known Signal in Nonwhite Gaussian Noise,
SPLetters(28), 2021, pp. 1908-1912.
IEEE DOI 2110
Detectors, Gaussian noise, Frequency response, Bandwidth, Measurement, Indexes, Sensors, AR process, deflection coefficient, sparse array BibRef

Adhikari, K.[Kaushallya], Kay, S.[Steven],
An Exact Solution for Sparse Sampling for Optimal Detection of Known Signals in Gaussian Noise,
SPLetters(30), 2023, pp. 369-373.
IEEE DOI 2305
Covariance matrices, Gaussian noise, Measurement, Dynamic programming, Programming, Data models, Colored noise, whitening BibRef

Dou, Z.X.[Zi-Xin], Sun, Y.M.[Yan-Ming], Wu, Z.D.[Zhi-Dong], Wang, T.[Tao], Fan, S.Q.[Shi-Qi], Zhang, Y.X.[Yu-Xuan],
The Architecture of Mass Customization-Social Internet of Things System: Current Research Profile,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Kim, J.C.[Jung-Cheol], Moon, I.Y.[Il-Young],
A study on selection of optimised piping supports and E-BOM generation,
IJCVR(11), No. 6, 2021, pp. 580-604.
DOI Link 2111
Construction elements. BibRef

Sahasranand, K.R.,
Dithered A/D Conversion of Bandlimited Signals Under Frequency Band Uncertainty,
SPLetters(29), 2022, pp. 493-497.
IEEE DOI 2202
High frequency, Analog-digital conversion, Quantization (signal), Uncertainty, Testing, Harmonic analysis, Bit rate, Analog-to-digital, oversampling BibRef

Chen, L.[Lei], Li, C.Q.[Cheng-Qing], Li, C.[Chao],
Security measurement of a medical communication scheme based on chaos and DNA coding,
JVCIR(83), 2022, pp. 103424.
Elsevier DOI 2202
Cryptanalysis, Chaotic cryptography, Chosen-plaintext attack, DNA coding, DICOM image security, Privacy protection BibRef

Lazaroiu, G.[George], Andronie, M.[Mihai], Iatagan, M.[Mariana], Geamanu, M.[Marinela], Stefanescu, R.[Roxana], Dijmarescu, I.[Irina],
Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things,
IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Rathee, T.[Tripti], Singh, P.[Parvinder],
A secure identity and access management system for decentralising user data using blockchain,
IJCVR(12), No. 4, 2022, pp. 343-359.
DOI Link 2207
BibRef

Stein, O.[Oded], Li, J.J.[Jia-Jin], Solomon, J.[Justin],
A Splitting Scheme for Flip-Free Distortion Energies,
SIIMS(15), No. 2, 2022, pp. 925-959.
DOI Link 2207
BibRef

Zhou, H.[Hang], Hu, X.B.[Xiao-Bing], Zhou, J.[Jun], Gu, S.H.[Sheng-Hao], Wang, T.Q.[Tian-Qi],
A New City Air Terminal Service Mode: Urban Mobile Station for Luggage Check-in Service and Evolutionary Approach,
ITS(23), No. 7, July 2022, pp. 7281-7297.
IEEE DOI 2207
Cats, Urban areas, Airports, Public transportation, Optimization, Real-time systems, Planning, Urban mobile station, adaptive genetic algorithm BibRef

Zhu, F.M.[Fu-Min], Zhang, C.[Chen], Zheng, Z.X.[Zun-Xin], Otaibi, S.A.[Sattam Al],
Click Fraud Detection of Online Advertising: LSH Based Tensor Recovery Mechanism,
ITS(23), No. 7, July 2022, pp. 9747-9754.
IEEE DOI 2207
Tensors, Advertising, Data models, Prediction algorithms, Machine learning algorithms, Internet, tensor decomposition BibRef

Jain, S.[Sandesh], Majhi, S.[Sudhan],
Zero-Attracting Kernel Maximum Versoria Criterion Algorithm for Nonlinear Sparse System Identification,
SPLetters(29), 2022, pp. 1546-1550.
IEEE DOI 2208
Signal processing algorithms, Kernel, Prediction algorithms, Cost function, Convergence, Adaptive filters, Steady-state, KLMS, zero-attracting BibRef

Moghadasian, S.S.[Seyed Saman],
A Fast and Accurate Method for Parameter Estimation of Multi-Component LFM Signals,
SPLetters(29), 2022, pp. 1719-1723.
IEEE DOI 2208
Chirp, Fourier transforms, Maximum likelihood estimation, Frequency estimation, Time-frequency analysis, parameter estimation BibRef

Hwang, K.[Kitae], Jung, I.H.[In Hwan], Lee, J.M.[Jae Moon],
Collaborative drawing shared between mobile devices using MQTT,
IJCVR(12), No. 5, 2022, pp. 532-548.
DOI Link 2209
Data sharing. BibRef

Chen, J.[Jing], Hu, M.F.[Man-Feng], Mao, Y.W.[Ya-Wen], Zhu, Q.M.[Quan-Min],
Modified Multi-Direction Iterative Algorithm for Separable Nonlinear Models With Missing Data,
SPLetters(29), 2022, pp. 1968-1972.
IEEE DOI 2210
Signal processing algorithms, Convergence, Biological system modeling, Computational modeling, Data models, separable nonlinear model BibRef

Luo, X.[Xin], Wu, H.[Hao], Wang, Z.[Zhi], Wang, J.J.[Jian-Jun], Meng, D.Y.[De-Yu],
A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation,
PAMI(44), No. 12, December 2022, pp. 9756-9773.
IEEE DOI 2212
Tensors, Computational modeling, Numerical models, Data models, Convergence, Analytical models, Adaptation models, latent feature BibRef

Butler, K.[Kurt], Feng, G.C.[Guan-Chao], Djuric, P.M.[Petar M.],
A Differential Measure of the Strength of Causation,
SPLetters(29), 2022, pp. 2208-2212.
IEEE DOI 2212
Strength of interaction between events. Kernel, Gaussian processes, Training, Computational modeling, Sensitivity, Random variables, Mathematical models, Causality, Simpson's paradox BibRef

Bhattacharyya, S.[Sombuddha], de Hoop, M.V.[Maarten V.], Katsnelson, V.[Vitaly], Uhlmann, G.[Gunther],
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data,
SIIMS(15), No. 4, 2022, pp. 1910-1943.
DOI Link 2212
BibRef

Wu, H.Q.[Han-Qing], Jiang, S.[Shan], Cao, J.[Jiannong],
High-Efficiency Blockchain-Based Supply Chain Traceability,
ITS(24), No. 4, April 2023, pp. 3748-3758.
IEEE DOI 2304
Supply chains, Blockchains, Stakeholders, Search problems, Radiofrequency identification, Collaboration, searchable blockchain BibRef

Benesty, J.[Jacob], Paleologu, C.[Constantin], Ciochina, S.[Silviu],
Linear System Identification Based on a Third-Order Tensor Decomposition,
SPLetters(30), 2023, pp. 503-507.
IEEE DOI 2305
Tensors, Matrix decomposition, Iterative methods, Signal to noise ratio, Linear systems, Jacobian matrices, Indexes, Wiener filter BibRef

Shi, L.[Long], Shen, L.[Lu], Chen, B.D.[Ba-Dong],
An Efficient Parameter Optimization of Maximum Correntropy Criterion,
SPLetters(30), 2023, pp. 538-542.
IEEE DOI 2305
Kernel, Optimization, Signal processing algorithms, Convergence, Attenuation, Heuristic algorithms, tracking capability BibRef

Drake, S.P.[Samuel P.], McKerral, J.C.[Jody C.], Anderson, B.D.O.[Brian D. O],
Single Channel Multiple Signal Classification Using Pseudo-Doppler,
SPLetters(30), 2023, pp. 1587-1591.
IEEE DOI 2311
BibRef

Feng, Y.T.[Yu-Tong], Taya, A.[Akihito], Nishiyama, Y.[Yuuki], Sezaki, K.[Kaoru], Liu, J.[Jun],
Compressive Detection of Stochastic Sparse Signals With Unknown Sparsity Degree,
SPLetters(30), 2023, pp. 1482-1486.
IEEE DOI 2311
BibRef

Xu, X.Y.[Xiao-Ya], Jiang, X.D.[Xiao-Dong],
A Low Complexity Estimator of Hyperbolic Frequency Modulated Signals,
SPLetters(30), 2023, pp. 1797-1801.
IEEE DOI 2312
BibRef

Doostmohammadian, M.[Mohammadreza], Aghasi, A.[Alireza],
Accelerated Distributed Allocation,
SPLetters(31), 2024, pp. 651-655.
IEEE DOI 2403
Convergence, Resource management, Signal processing algorithms, Heuristic algorithms, Dynamic scheduling, Cost function, optimization BibRef

Jing, Z.H.[Ze-Huan], Li, P.[Peng], Wu, B.[Bin], Yan, E.[Erxing], Chen, Y.C.[Ying-Chao], Gao, Y.[Youbing],
Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions,
RS(16), No. 8, 2024, pp. 1332.
DOI Link 2405
BibRef

Hu, S.Z.[Shi-Zhe], Lou, Z.Z.[Zheng-Zheng], Yan, X.Q.[Xiao-Qiang], Ye, Y.D.[Yang-Dong],
A Survey on Information Bottleneck,
PAMI(46), No. 8, August 2024, pp. 5325-5344.
IEEE DOI 2407
Surveys, Taxonomy, Optimization, Distortion, Representation learning, Task analysis, Pattern analysis, Information bottleneck, survey, information compression BibRef

Li, Y.B.[Yong-Bin], Yu, H.Y.[Hong-Yi], Du, J.P.[Jian-Ping], Zhang, X.[Xia], Liu, G.Y.[Guang-Yi],
Robust Delimitation of Aggregated Packets Based on Viterbi Decoding With Natural Redundancy in Protocols,
SPLetters(31), 2024, pp. 1970-1974.
IEEE DOI 2408
Measurement, Protocols, Decoding, Signal processing algorithms, Complexity theory, Tail, Cross layer design, Robust delimitation, decision feedback BibRef

Gupta, I.[Ishu], Saxena, D.[Deepika], Singh, A.K.[Ashutosh Kumar], Lee, C.N.[Chung-Nan],
A Multiple Controlled Toffoli Driven Adaptive Quantum Neural Network Model for Dynamic Workload Prediction in Cloud Environments,
PAMI(46), No. 12, December 2024, pp. 7574-7588.
IEEE DOI 2411
Predictive models, Adaptation models, Qubit, Logic gates, Forecasting, Neural networks, Hidden Markov models, workload forecasting BibRef

Guo, X.M.[Xiao-Meng], Wang, Y.C.[Yong-Chao],
A Low-Complexity Bit-Embedding Decoder for Non-Binary LDPC Codes in F_2^q,
SPLetters(31), 2024, pp. 2855-2859.
IEEE DOI 2411
Parity check codes, Decoding, Codes, Vectors, Phase shift keying, Binary phase shift keying, Signal processing algorithms, non-binary low-density parity-check (LDPC) BibRef

Bai, J.[Jing], An, Z.[Zedong], Chi, Y.H.[Yu-Hao], Song, G.H.[Guang-Hui], Yuen, C.[Chau],
Improved Free-of-CPP ADMM-Based Iterative Decoding Algorithm of Binary LDPC Codes,
SPLetters(32), 2025, pp. 211-215.
IEEE DOI 2501
Maximum likelihood decoding, Iterative decoding, Convex functions, Vectors, Signal processing algorithms, mathematical programming BibRef

Colominas, M.A.[Marcelo A.], Meignen, S.[Sylvain],
Instantaneous Frequency Estimation Based on Reassignment Operators and Linear Chirp Points Detection,
SPLetters(32), 2025, pp. 106-110.
IEEE DOI 2501
Chirp, Estimation, Signal to noise ratio, Polynomials, Splines (mathematics), Spectrogram, Frequency estimation, Vectors, time-frequency BibRef

Wang, C.[Cheng], Mei, Z.[Zhen], Li, J.[Jun], Cai, K.[Kui], Kong, L.J.[Ling-Jun],
Piecewise Student's t-distribution Mixture Model-Based Estimation for NAND Flash Memory Channels,
SPLetters(32), 2025, pp. 451-455.
IEEE DOI 2501
NAND flash memory, expectation maximization (EM), piecewise student's t-distribution mixture model (PSTMM), parameter estimation BibRef

Benabdelouahab, A.[Anass], Chaibi, A.[Adham], Haman, S.[Samia], Bentassil, Z.[Zineb], Elouadi, A.[Abdelmajid], Moumen, A.[Aniss],
Artificial Intelligence and Industry 4.0 Trends: A Comprehensive Review and Case Study Analysis in the Moroccan Context,
ISCV24(1-8)
IEEE DOI 2408
Industries, Costs, Supply chain management, Collaboration, Software, Fourth Industrial Revolution BibRef

Bencharqui, H.[Hatime], Anwar, A.[Adil],
Requirement Specification in Problem and Solution Domains,
ISCV24(1-5)
IEEE DOI 2408
Navigation, Syntactics, Reliability engineering, Robustness, Stakeholders, Requirements engineering, Abstraction Levels BibRef

Bencharqui, H.[Hatime], Anwar, A.[Adil],
Ontology Design for Requirements Engineering,
ISCV24(1-6)
IEEE DOI 2408
Cooling, Computational modeling, Ontologies, Requirements engineering, Automobiles, Intelligent systems, System Requirements BibRef

Cai, B.[Bin], Yao, J.[Jian], Li, M.[Meiman], Xiao, X.H.[Xiao-Hong],
A Scalable Adaptive Locking Mechanism for High Performance Computing,
CVIDL23(651-658)
IEEE DOI 2403
Concurrent computing, Deep learning, Program processors, Adaptive systems, Multicore processing, concurrency BibRef

Zhu, J.W.[Jing-Wen], Ak, A.[Ali], Callet, P.L.[Patrick Le], Sethuraman, S.[Sriram], Rahul, K.[Kumar],
ZREC: Robust Recovery of Mean and Percentile Opinion Scores,
ICIP23(2630-2634)
IEEE DOI 2312
BibRef

Zhang, Z.F.[Zhi-Feng], Kuang, J.H.[Jin-Hui], Cui, X.[Xiao], Zhao, Z.[Zhe], Ma, J.X.[Jun-Xia], Pang, B.[Bin],
Design of Visualization Platform for Intelligent Distribution Room Based on 3D Modeling Technology,
ICIVC22(702-705)
IEEE DOI 2301
Power system. Solid modeling, Visualization, Computational modeling, Data visualization, Software, Power systems, smart grid, model lightweight BibRef

Fang, B.[Boli],
Batched Mean-Variance Bandits,
ICPR22(1336-1342)
IEEE DOI 2212
Upper bound, Uncertainty, Decision making, Switches, Length measurement, Time measurement, Real-time systems BibRef

Chávez, J.A.[José A.],
Generative Flows as a General Purpose Solution for Inverse Problems,
LXCV22(1489-1497)
IEEE DOI 2210
Couplings, Inverse problems, Noise reduction, Data models BibRef

El-Jimi, D.[Driss], Chaibi, N.[Noreddine], Boumhidi, I.[Ismail], Mohammed, C.[Charqi], El Khaloufi, G.[Ghizlane],
Admissibility Analysis of T-S Fuzzy singular system with time varying-delay,
ISCV22(1-6)
IEEE DOI 2208
Sufficient conditions, Asymptotic stability, Linear matrix inequalities, Delays, Intelligent systems, LMI BibRef

Tarraq, A.[Ali], Elmariami, F.[Faissal], Belfqih, A.[Abdelaziz], Haidi, T.[Touria], Agouzoul, N.[Naima], Gadal, R.[Rabiaa],
Meta-heuristics Applied to Multiple DG Allocation in Radial Distribution Network: A comparative study,
ISCV22(1-8)
IEEE DOI 2208
Reactive power, Uncertainty, Optimization methods, Voltage, Distribution networks, Minimization, Linear programming, Power loss reduction BibRef

Almeida, R.[Rodrigo], Georgieva, P.[Petia], Martins, N.[Nelson],
Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models,
IbPRIA22(642-654).
Springer DOI 2205
BibRef

Wegner, L.[Laila], Houben, Y.[Yana], Ziefle, M.[Martina], Valdez, A.C.[André Calero],
Fairness and the Need for Regulation of AI in Medicine, Teaching, and Recruiting,
DHM21(II:277-295).
Springer DOI 2108
BibRef

Lovászy, L.G.[László Gábor],
What if: Human Rights vs Science: or Both?,
DHM21(II:220-238).
Springer DOI 2108
BibRef

Steimers, A.[André], Bömer, T.[Thomas],
Sources of Risk and Design Principles of Trustworthy Artificial Intelligence,
DHM21(II:239-251).
Springer DOI 2108
BibRef

Su, B.[BeiLe],
Analysis of the Application of Artificial Intelligence in the Creative Space,
DHM21(II:252-262).
Springer DOI 2108
BibRef

Retzlaff, C.O.[Carl Orge], Ziefle, M.[Martina], Valdez, A.C.[André Calero],
The History of Agent-Based Modeling in the Social Sciences,
DHM21(I:304-319).
Springer DOI 2108
BibRef

Guo, G., Yang, L.,
Hotelling Model based Computation Offloading in Multi-access Edge Computing Assisted Mobile Network,
CVIDL20(697-700)
IEEE DOI 2102
cloud computing, computer networks, hoteling model based computation offloading, mobile network BibRef

Ren, Y.,
Probabilistic Analysis on a Political Career,
CVIDL20(601-603)
IEEE DOI 2102
Markov processes, politics, probability, probabilistic analysis, political career, transition matrix, Markov chains, election outcomes BibRef

Li, X.L.[Xiao-Lian], Jiang, Y.L.[Yu-Ling], Ding, Y.[Yu], Wei, D.M.[Dai-Ming], Ma, X.Y.[Xian-Ying], Li, W.L.[Wen-Ling],
Application Research of Docker Based on Mesos Application Container Cluster,
CVIDL20(476-479)
IEEE DOI 2102
cloud computing, cluster computing, resource allocation, scheduling, virtualisation, Marathon_LB BibRef