Aker, A.[Adam]
* 2024: Characterizing Water Composition with an Autonomous Robotic Team Employing Comprehensive In Situ Sensing, Hyperspectral Imaging, Machine Learning, and Conformal Prediction
Aker, C.
* 2017: Drone-vs-Bird detection challenge at IEEE AVSS2017
* 2017: Using deep networks for drone detection
Akera, B.
* 2020: Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning
Akerblom, M.
* 2013: Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data
* 2018: Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling
* 2020: Tree species classification using structural features derived from terrestrial laser scanning
* 2021: Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests
Includes: Akerblom, M. Åkerblom, M. Åkerblom, M.[Markku] Akerblom, M.[Markku]
Akerele, M.I.[Mercy I.]
* 2021: Improved identification of abdominal aortic aneurysm using the Kernelized Expectation Maximization algorithm
Akerfelt, M.[Malin]
* 2014: Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach
* 2015: novel feature descriptor based on microscopy image statistics, A
Akerholm, M.[Marianne]
* 2015: Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey
Includes: Akerholm, M.[Marianne] Åkerholm, M.[Marianne]
Akerkar, R.
* 2018: Editorial Introduction to the Special Issue on Multimedia Big Data for Extreme Events
Akerley, J.[John]
* 2019: Spatio-Temporal Analysis of Deformation at San Emidio Geothermal Field, Nevada, USA Between 1992 and 2010
Akerman, A.[Alexander]
* 1996: Target Identification Using Geometric Hashing and FLIR/LADAR Fusion
Includes: Akerman, A.[Alexander] Akerman, III, A.[Alexander]
Akers, E.L.
* 2010: Automated Polar Ice Thickness Estimation From Radar Imagery
Akers, M.[Matthew]
* 2024: Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning
Akerstedt, T.
* 2011: Detecting Driver Sleepiness Using Optimized Nonlinear Combinations of Sleepiness Indicators