John E. Ball

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 46

Top Topics

Linear Discriminant

Object Detection

Top Venues

Publications

Riku Kikuta, Daniel W. Carruth, John E. Ball, Reuben Burch, Ichiro Kageyama
Risk assessment and observation of driver with pedestrian using instantaneous heart rate and HRV. CoRR (2024)
Simegnew Yihunie Alaba, John E. Ball
Transformer-Based Optimized Multimodal Fusion for 3D Object Detection in Autonomous Driving. IEEE Access 12 (2024)
Tony Luczak, David Saucier, Harish Chander, Yanbing Tang, Charles E. Freeman, John Lamberth, John E. Ball, Steven M. Grice, J. Carver Middleton, Chih Chia Chen, Kait Jackson, Michael Taquino, Erin Parker, Zachary M. Gillen, Michael Neff, Martin Duclos, Reuben F. Burch V., Adam Knight, Long Tian
The Opportunity to Collect Kinetic Forces During a Round of Golf Using Wearable Devices: Single-Subject Case Study - The Full Swings. VRW (2023)
Suvash Sharma, Lalitha Dabbiru, Tyler Hannis, George Mason, Daniel W. Carruth, Matthew Doude, Christopher Goodin, Christopher R. Hudson, Sam Ozier, John E. Ball, Bo Tang
CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access 10 (2022)
Simegnew Yihunie Alaba, M. M. Nabi, Chiranjibi Shah, Jack Prior, Matthew D. Campbell, Farron Wallace, John E. Ball, Robert Moorhead
Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset. Sensors 22 (21) (2022)
Fahmida Islam, M. M. Nabi, John E. Ball
Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review. Sensors 22 (21) (2022)
Jeremy Davis, James B. Haynie, Derek T. Anderson, Cindy L. Bethel, J. Edward Swan, John E. Ball, Amy Bednar
Spatial Relationship-Driven Computer Vision Image Data Set Annotation. IJCNN (2022)
Simegnew Yihunie Alaba, John E. Ball
A Survey on Deep-Learning-Based LiDAR 3D Object Detection for Autonomous Driving. Sensors 22 (24) (2022)
Andrea Karen Persons, Carver Middleton, Erin Parker, Will Carroll, Alana Turner, Purva Talegaonkar, Samaneh Davarzani, David Saucier, Harish Chander, John E. Ball, Steven H. Elder, Chartrisa LaShan Simpson, David Macias, Reuben F. Burch V.
Comparison of the Capacitance of a Cyclically Fatigued Stretch Sensor to a Non-Fatigued Stretch Sensor When Performing Static and Dynamic Foot-Ankle Motions. Sensors 22 (21) (2022)
Simegnew Yihunie Alaba, John E. Ball
WCNN3D: Wavelet Convolutional Neural Network-Based 3D Object Detection for Autonomous Driving. Sensors 22 (18) (2022)
John E. Ball, Mahnas Jean Mohammadi-Aragh, Christopher Goodin
Engaging Students in an Automotive Autonomy Sensor Processing Class: Incorporating active learning and high-fidelity, physics-based autonomy simulation into class projects. IEEE Signal Process. Mag. 38 (3) (2021)
Muhammad Aminul Islam, Derek T. Anderson, Timothy C. Havens, John E. Ball
A Generalized Fuzzy Extension Principle and Its Application to Information Fusion. IEEE Trans. Fuzzy Syst. 29 (9) (2021)
Will Carroll, Alana Turner, Purva Talegaonkar, Erin Parker, J. Carver Middleton, Preston Peranich, David Saucier, Reuben F. Burch V, John E. Ball, Brian K. Smith, Harish Chander, Adam Knight, Charles E. Freeman
Closing the Wearable Gap-Part IX: Validation of an Improved Ankle Motion Capture Wearable. IEEE Access 9 (2021)
Tony Luczak, Reuben F. Burch V, Brian K. Smith, Daniel W. Carruth, John Lamberth, Harish Chander, Adam Knight, John E. Ball, R. K. Prabhu
Closing the Wearable Gap - Part V: Development of a Pressure-Sensitive Sock Utilizing Soft Sensors. Sensors 20 (1) (2020)
Sujan Poudyal, Mahnas Jean Mohammadi-Aragh, John E. Ball
Data Mining Approach for Determining Student Attention Pattern. FIE (2020)
Jackson Cornelius, Blake Brockner, Seong Hyeon Hong, Yi Wang, Kapil Pant, John E. Ball
Estimating and Leveraging Uncertainties in Deep Learning for Remaining Useful Life Prediction in Mechanical Systems. ICPHM (2020)
Tingiun Lei, Chaomin Luo, John E. Ball, Shahram Rahimi
A Graph-based Ant-like Approach to Optimal Path Planning. CEC (2020)
Ethan Worch, Sathishkumar Samiappan, Meilun Zhou, John E. Ball
Hyperspectral Band Selection Using Moth-Flame Metaheuristic Optimization. IGARSS (2020)
Suvash Sharma, Bo Tang, John E. Ball, Daniel W. Carruth, Lalitha Dabbiru
Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. IEEE Access 8 (2020)
Meilun Zhou, Sathishkumar Samiappan, Ethan Worch, John E. Ball
Hyperspectral Image Classification Using Fisher's Linear Discriminant Analysis Feature Reduction with Gabor Filtering and CNN. IGARSS (2020)
David Saucier, Tony Luczak, Phuoc Nguyen, Samaneh Davarzani, Preston Peranich, John E. Ball, Reuben F. Burch V, Brian K. Smith, Harish Chander, Adam Knight, R. K. Prabhu
Closing the Wearable Gap - Part II: Sensor Orientation and Placement for Foot and Ankle Joint Kinematic Measurements. Sensors 19 (16) (2019)
Orhan Eroglu, Mehmet Kurum, John E. Ball
Response of GNSS-R on Dynamic Vegetated Terrain Conditions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (5) (2019)
Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan
Fusion of heterogeneous bands and kernels in hyperspectral image processing. CoRR (2019)
Suvash Sharma, John E. Ball, Bo Tang, Daniel W. Carruth, Matthew Doude, Muhammad Aminul Islam
Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors 19 (11) (2019)
Pan Wei, John E. Ball, Derek T. Anderson
Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection. Sensors 18 (3) (2018)
Pan Wei, Lucas Cagle, Tasmia Reza, John E. Ball, James Gafford
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System. CoRR (2018)
John E. Ball, Pan Wei
Deep Learning Hyperspectral Image Classification Using Multiple Class-based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations. CoRR (2018)
Lalitha Dabbiru, James V. Aanstoos, John E. Ball, Nicolas H. Younan
Machine Learning Framework for Mapping of Mississippi River Levees and Damage Assessment Using Terrasar-X Data. IGARSS (2018)
Pan Wei, John E. Ball, Derek T. Anderson, Archit Harsh, Christopher Archibald
Measuring Conflict in a Multi-Source Environment as a Normal Measure. CoRR (2018)
Sathishkumar Samiappan, Luan Casagrande, Gustavo Mello Machado, Gray Turnage, Lee Hathcock, Robert J. Moorhead, John E. Ball
Texture Classification of Very High Resolution UAS Imagery Using a Graphics Processing Unit. IGARSS (2018)
Pan Wei, John E. Ball, Derek T. Anderson
Multi-Sensor Conflict Measurement and Information Fusion. CoRR (2018)
John E. Ball, Pan Wei
Deep Learning Hyperspectral Image Classification using Multiple Class-Based Denoising Autoencoders, Mixed Pixel Training Augmentation, and Morphological Operations. IGARSS (2018)
John E. Ball, Derek T. Anderson, Pan Wei
State-of-the-Art and Gaps for Deep Learning on Limited Training Data in Remote Sensing. IGARSS (2018)
Archit Harsh, John E. Ball, Pan Wei
Onion-Peeling Outlier Detection in 2-D data Sets. CoRR (2018)
John E. Ball, Derek T. Anderson, Pan Wei
State-of-the-art and gaps for deep learning on limited training data in remote sensing. CoRR (2018)
Pan Wei, John E. Ball, Derek T. Anderson
Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection. CoRR (2018)
Christopher Archibald, Luke Schwalm, John E. Ball
A Survey of Security in robotic Systems: Vulnerabilities, Attacks, and solutions. Int. J. Robotics Autom. 32 (2) (2017)
John E. Ball, Derek T. Anderson, Chee Seng Chan
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community. CoRR (2017)
Ryan E. Smith, Derek T. Anderson, Alina Zare, John E. Ball, Brandon Smock, Josh R. Fairley, Stacy E. Howington
Genetic programming based Choquet integral for multi-source fusion. FUZZ-IEEE (2017)
Emily Gorman, Steven Bunkley, John E. Ball, Anton Netchaev
Direction of arrival estimation for conformal arrays on real-world impulsive acoustic signals. Proc. Meet. Acoust. 31 (1) (2017)
Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan
CLODD based band group selection. IGARSS (2016)
Mahnas Jean Mohammadi-Aragh, John E. Ball, Donna Jaison
Using wavelets to categorize student attention patterns. FIE (2016)
Muhammad Aminul Islam, Derek T. Anderson, John E. Ball, Nicolas H. Younan
Fusion of diverse features and kernels using LP-norm based multiple kernel learning in hyperspectral image processing. WHISPERS (2016)
Pan Wei, John E. Ball, Derek T. Anderson, Archit Harsh, Christopher Archibald
Measuring conflict in a multi-source environment as a normal measure. CAMSAP (2015)
Lalitha Dabbiru, Pan Wei, Archit Harsh, Julie White, John E. Ball, James V. Aanstoos, Patrick Donohoe, Jesse Doyle, Sam Jackson, John Newman
Runway assessment via remote sensing. AIPR (2015)
Matthew A. Lee, Derek T. Anderson, John E. Ball, Nicolas H. Younan
Multispectral sensor design using performance measure-based hyperspectral band grouping. IGARSS (2015)
John E. Ball, Lori M. Bruce, Nicolas H. Younan
Hyperspectral Pixel Unmixing via Spectral Band Selection and DC-Insensitive Singular Value Decomposition. IEEE Geosci. Remote. Sens. Lett. 4 (3) (2007)
John E. Ball, Terrance West, Saurabh Prasad, Lori Mann Bruce
Level set hyperspectral image segmentation using spectral information divergence-based best band selection. IGARSS (2007)
John E. Ball, Lori Mann Bruce
Level Set Hyperspectral Image Classification Using Best Band Analysis. IEEE Trans. Geosci. Remote. Sens. 45 (10) (2007)
John E. Ball, Lori M. Bruce
Level Set Hyperspectral Segmentation: Near-Optimal Speed Functions using Best Band Analysis and Scaled Spectral Angle Mapper. IGARSS (2006)
John E. Ball, Lori M. Bruce, Nicolas H. Younan
Adaptive hyperspectral pixel unmixing using best bands analysis and dc insensitive singular value decomposition. IGARSS (2005)
John E. Ball, Nishant Chandra, Nicolas H. Younan
Enhancements of Fingerprints Based Identity Authentication System Using Adaptive Algorithms. CISST (2005)
John E. Ball, Lori M. Bruce
Level set segmentation of remotely sensed hyperspectral images. IGARSS (2005)
John E. Ball, S. Kari, Nicolas H. Younan
Hyperspectral pixel unmixing using singular value decomposition. IGARSS (2004)