Under Review
J. Ritu, A. Mohammadi, D. Carreiro, A. V. Dine and J. Peeples, “Structural and Statistical Audio Texture Knowledge Distillation (SSATKD) for Passive Sonar Classification,” Under Review
A. Mohammadi, D. Carreiro, A. V. Dine, and J. Peeples, “Histogram-based Parameter-efficient Tuning for Passive Sonar Classification,” Under Review.
S. Salehi, A. Agashe, A. J. McFarland, and J. Peeples, “LGDWT-GS: Local and Global Discrete Wavelet-Regularized 3D Gaussian Splatting for Sparse-View Scene Reconstruction,” Under Review.
F.O. Nia, J. Peeples, S. Murray, A. McFarland, T. Vann, S. Salehi, R. Hardin, D. Baltensperger, A. Ibrahim, A. Thomasson, H. Fadamiro, N. Subramanian, N. Oladepo, and U. Vysyaraju, “A Data-Driven Image Extraction and Analysis Pipeline for Plant Phenotyping in Controlled Environments,” Under Review.
2026
F.O. Nia, S. Salehi, and, J. Peeples, “Evaluating GAN-LSTM for Smart Meter Anomaly Detection in Power Systems,” in IEEE Texas Power and Energy Conference (TPEC), 2026, in Press, doi: arXiv:2601.09701.
J. Ritu, T. Jefferis, C. Sayes and, J. Peeples, “Morphological Change Detection for Scanning Electron Microscope Images of Lung Cell Surfaces,” in International Conference on Advances in Artificial Intelligence and Machine Learning (AAIML), 2026, in Press.
J. Ritu, A.V. Dine, and J. Peeples, “Quantitative Measures for Passive Sonar Texture Analysis,” in Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications IV, International Society for Optics and Photonics (SPIE), 2026, in Press, doi: arXiv:2504.14843.
F.O. Nia, A. Mohammadi, S.A. Kharsa, P. Naikare, Z. Hampel-Arias, and J. Peeples, “Neighborhood Feature Pooling for Remote Sensing Image Classification,” in Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, 2026, in Press, doi: arXiv:2510.25077.
2025
Md Z. Iqbal, R. Hardin, J. Peeples, and E. Barnes, “Cover Damage Detection of Round Cotton Modules using Convolutional Neural Networks (CNN),” in Computers and Electronics in Agriculture, Volume 239, Part B, 111023, 2025. doi: 10.1016/j.compag.2025.111023.
J. Peeples, S. A. Kharsa, L. Saleh, and A. Zare, “Histogram Layers for Neural Engineered Features,” in IEEE Transactions on Artificial Intelligence, July 2025. doi: 10.1109/TAI.2025.3593445.
A. Mohammadi, T. Kelhe, D. Carreiro, A. V. Dine, and J. Peeples, “Cross-Domain Knowledge Transfer for Underwater Acoustic Classification Using Pre-trained Models,” in OCEANS 2025 Brest, BREST, France, 2025, pp. 1-6, 2025, doi: 10.1109/OCEANS58557.2025.11104545.
A. Mohammadi, I. Masabarakiza, E. Barnes, D. Carreiro, A. V. Dine, and J. Peeples, “Investigation of Time-Frequency Feature Combinations with Histogram Layer Time Delay Neural Networks,” in OCEANS 2025 Brest, BREST, France, 2025, pp. 1-6, doi: 10.1109/OCEANS58557.2025.11104751.
A. Agashe, D. Carreiro, A. V. Dine, and J. Peeples, “Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition,” in OCEANS 2025 Brest, BREST, France, 2025, pp. 1-6, doi: 10.1109/OCEANS58557.2025.11104298.
A. Ibarra and J. Peeples, “Patch distribution modeling framework learnable adaptive cosine estimator (PaDiM-LACE) for anomaly detection in synthetic aperture radar imagery,” in Algorithms for Synthetic Aperture Radar Imagery XXXII, International Society for Optics and Photonics (SPIE), 2025, doi: 10.1117/12.3052541.
L. Chauvin, S. Gupta, A. Ibarra and J. Peeples, “Benchmarking suite for synthetic aperture radar imagery anomaly detection (SARIAD) algorithms,” in Algorithms for Synthetic Aperture Radar Imagery XXXII, International Society for Optics and Photonics (SPIE), 2025, doi: 10.1117/12.3052519.
J. Gauderman and A. Biradar, “Learning from Limited Data: Investigation of Machine Learning Algorithms for Light Microscopy Image Analysis,” Undergraduate Thesis, College Station, TX, 2025.
A. Agashe, “Learnable Adaptive Cosine Estimator for Self-Supervised Environmental Sound Classification”, Master Thesis, College Station, TX, 2025.
A. Mohan, T. Jefferis, C. Sayes and, J. Peeples, “Texture Analysis of Lung Cell Surface Morphology After Nanoparticle Exposure,” in Proceedings of SPIE-the International Society for Optical Engineering, San Diego, CA, 2025, in Press.
2024
J. Liu, J. Peeples, C. Sayes, “Evaluation of Machine Learning Based QSAR Models for the Classification of Lung Surfactant Inhibitors,” in Environment & Health, 2024. doi: 10.1021/envhealth.4c00118.
Y. Zambre, E. Rajkitkul, A. Mohan and, J. Peeples, “Spatial Transformer Network YOLO Model for Agricultural Object Detection,” in IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, 2024, pp. 115 – 121. doi: 10.1109/ICMLA61862.2024.00022.
A. Mohan and J. Peeples, “Lacunarity Pooling Layers for Plant Image Texture Analysis”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024, pp.5384-5392.
F. Safdarian, J. Peeples, D. Richards, and T. Overbye, “A Fast Learning-Based Unit Commitment Strategy with AC Optimal Power Flow for Large Grids with Direct Inclusion of Weather”, IEEE Kansas Power and Energy Conference (KPEC), 2024, in Press.
A. Mohan, “Lacunarity Pooling Layer for Image Texture Analysis”, Master Thesis, College Station, TX, 2024.
Y. Zambre, “Spatial Transformer Network You Only Look Once (STN-YOLO) for Improved Object Detection”, Master Thesis, College Station, TX, 2024.
2023
J. Peeples, W. Xu, R. Gloaguen, D. Rowland, A. Zare, and Z. Brym, “Spatial and Texture Analysis of Root System Distribution with Earth Mover’s Distance (STARSEED),” in Plant Methods 19, 2023. doi: 10.1186/s13007‑022‑00974‑z.
A. Mohan and J. Peeples, “Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image Classification,” IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 950-953, doi: 10.1109/IGARSS52108.2023.
J. Ritu, E. Barnes, R. Martell, A. Dine and J. Peeples, “Histogram Layer Time Delay Neural Network For Passive Sonar Classification,” 2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). doi: 10.1109/WASPAA58266.2023.
2022
J. Peeples, A. Zare, J. Dale, and J. Keller, “Histogram Layers for Synthetic Aperture Sonar Imagery,” in IEEE International Conference on Machine Learning and Applications (ICMLA), 2022, doi: 10.1109/ICMLA55696.2022.00032.