John E. Ball
Mississippi State University
133 Papers
485 Citations
John E. Ball is an academic researcher from Mississippi State University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 15, co-authored 106 publications. Previous affiliations of John E. Ball include Naval Surface Warfare Center.
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Papers
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
TL;DR: In this article, the authors provide a comprehensive survey of state-of-the-art remote sensing deep learning research for remote sensing applications, focusing on theories, tools, and challenges for the remote sensing community.
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A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community
TL;DR: This work focuses on theories, tools, and challenges for the RS community, and focuses on unsolved challenges and opportunities as they relate to inadequate data sets, big data, and human-understandable solutions for modeling physical phenomena.
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LiDAR and Camera Detection Fusion in a Real-Time Industrial Multi-Sensor Collision Avoidance System
TL;DR: In this paper, the authors proposed a method for reducing false positive detection from the LiDAR by projecting the beacons in the camera imagery via a deep learning method and validating the detection using a neural network-learned projection from the camera to the Lidar space.
121
State-of-the-art review of athletic wearable technology: What 113 strength and conditioning coaches and athletic trainers from the USA said about technology in sports:
TL;DR: Wearable technology is fully entrenched at multiple levels of athletic competition, especially at the National Collegiate At... as mentioned in this paper, and wearable technologies are a multi-billion-dollar business with more growth expected.
113
Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics.
Harish Chander,Reuben F. Burch,Purva Talegaonkar,David Saucier,Tony Luczak,John E. Ball,Alana J. Turner,Sachini N. K. Kodithuwakku Arachchige,Will Carroll,Brian K. Smith,Adam C. Knight,Raj Prabhu +11 more
TL;DR: An in-depth review of different wearable stretch sensors is provided and the need for wearable technology in the field of ergonomics and the current wearable devices used for fall detection are summarized and the use of soft-robotic-stretch (SRS) sensors for human movement monitoring and fall detection is proposed.
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