Always keep God first! @MITLL Technical Staff| @UF PhD, MS| @UABEngineering BS
Joined December 2011
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I am excited to share that my first two PhD students, Amirmohammad Mohammadi and Jarin Ritu, have officially passed their preliminary exams and are now PhD Candidates! I am proud of their achievements and excited to see where their research goes next. Congratulations! 🎉
Joshua (Josh) Peeples, Ph.D. retweeted
Texas A&M: #1 public university in Texas and the SEC according to The Wall Street Journal! 🎓🏆 With the highest ROI among Texas public institutions. Graduating Aggies are ready to lead with confidence. #1inTexas #GigEm #HigherEducation
🔗: tx.ag/GiuyFg6
Congratulations to a recent graduate from my research group, Yash Zambre, for an excellent presentation at the 2024 @IEEEorg #ICMLA! Yash shared our @AgriLife sponsored work for improved plant detection. The code, dataset and paper are available: github.com/Advanced-Vision-a…!
Attending @CVPR? Be sure to check out our work on lacunarity pooling layers during the Vision for Agriculture Workshop! #AI #MachineLearning #ComputerVision – at College Station, TX
Lacunarity Pooling Layers for Plant Image Classification using Texture Analysis
Akshatha Mohan, @jpeeples67
tl;dr: another way of pooling, kind of gaps counting?Tested on fruit recognition dataset
#kornia used for differentiable Gaussianscale pyramid.
arxiv.org/abs/2404.16268
I enjoyed the opportunity to present ongoing efforts in our research group during the @TAMESTX Protégé Poster Challenge. It was a great opportunity to network and learn about work others are doing in #AI #MachineLearning. Learn more about our lab here: avll.engr.tamu.edu/
Blessed to see another year! I am grateful for another year of growth and memories. Also, Happy Birthday to @MrPeeps68! Thanks for always being there and showing support! – at Birmingham, AL
Joshua (Josh) Peeples, Ph.D. retweeted
A team from Lincoln Laboratory and the Advanced Vision and Learning Lab at Texas A&M University are using new machine learning methods to capture statistical features within sonar data to distinguish between sound sources. ow.ly/9CmJ50Q8ngi
ALT A flow chart showing how audio signals are processed to create features for algorithms to distinguish between signals from cargo, passenger, tanker, and tug ships.
Exciting collaboration with @MITLL! Learn more about our work here: ll.mit.edu/r-d/projects/comb…. #MachineLearning – at College Station, TX
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First time in New York for @IEEE_WASPAA with my students! Excited for their presentation tomorrow during the Music and Audio Signal Processing Poster Session tomorrow at 10:30 AM! – at New York, USA
Excited to be a part of a great collaboration with
@AgriLife and @DrSethMurray! #AI #Agriculture engineering.tamu.edu/news/20…
Akshatha Mohan did a great job presenting our work @igarss on quantitatively analyzing explainable #AI approaches for Remote Sensing image classification! Check out the paper and code on our github repository! github.com/Peeples-Lab/XAI_A… – at Pasadena, CA
Congrats to Jarin for winning first place in the @TAMUECE CESG Poster Event! 🎉🎉🎉
Jarin Ritu, PhD student from our group, did a great job presenting our collaborative work with @MITLL on "Histogram Layer Time Delay Neural Networks for Passive Sonar Target Classification" at the @TAMUECE CESG Poster Event! #AI #MachineLearning
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/
Jarin Ritu, PhD student from our group, did a great job presenting our collaborative work with @MITLL on "Histogram Layer Time Delay Neural Networks for Passive Sonar Target Classification" at the @TAMUECE CESG Poster Event! #AI #MachineLearning
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/
ALT https://cesg.tamu.edu/poster_2023/