A Novel PHY Layer Approach for Enhanced Data Rate in LoRa using Adaptive Symbol Periods. - Akshay Ramesh Jadhav; P. Rajalakshmi (ANTS, 2019)

Enhanced LoRa Data Rate through PATCH. - Akshay Ramesh Jadhav; P. Rajalakshmi (WF-IoT, 2020)

Deep Learning Based Overcomplete Representations for Paddy Rice Crop and Weed Segmentation. - G. Ujwal Sai; Tejasri Nampally; Ajay Kumar; P. Rajalakshmi (IGARSS, 2022)

UAV Based Hyperspectral Remote Sensing and CNN for Vegetation Classification. - Adduru U. G. Sankararao; P. Rajalakshmi (IGARSS, 2022)

Water Stress Detection in Pearl Millet Canopy with Selected Wavebands using UAV Based Hyperspectral Imaging and Machine Learning. - Adduru U. G. Sankararao; P. Rajalakshmi; Sivasakthi Kaliamoorthy; Sunitha Choudhary (SAS, 2022)

Personalized Federated Learning based Intrusion Detection Approach for Metaverse. - Gurpreet Singh; P. Rajalakshmi; Yong Xiang (ANTS, 2023)

Two Dimensional Histogram based on Relative Entropy Thresholding for Crop Segmentation Using UAV Images. - Priyanka Gattu; P. Rajalakshmi; Jana Kholová (IGARSS, 2023)

Vision-Based Point Cloud Processing Framework for High Throughput Phenotyping. - Priyanka Gattu; S. Shreeshan; Subhra Sankha Bhatterjee; P. Rajalakshmi; Jana Kholová (IGARSS, 2023)

Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios. - Palli Venkata Aishwarya; D. Santhosh Reddy; Dinesh Kumar Sonkar; Poluri Nikhil Koundinya; P. Rajalakshmi (ISORC, 2023)

Pothole Detection for Autonomous Vehicles in Indian Scenarios using Deep Learning. - H. N. Srikanth; D. Santhosh Reddy; Dinesh Kumar Sonkar; Ronit Kumar; P. Rajalakshmi (ISORC, 2023)

Joint Scheduling of Communication and Computation Resources for Efficient Computation Offloading in MEC-based V2X Systems. - Annu; P. Rajalakshmi (WF-IoT, 2023)

Future-Proofing 6G V2X Sidelink Connectivity: Scheduling and Adaptive Beamforming Integration. - Annu; P. Rajalakshmi (BlackSeaCom, 2024)

Robust Obstacle Detection and Collision Warning for Autonomous Vehicles Using Autoware Universe. - D. Santhosh Reddy; Kaipa Sri Charan; Sai Kumar Kayam; P. Rajalakshmi (ICCAE, 2024)

Improving Radar-Camera Fusion Network for Distance Estimation. - Samuktha V.; Hershita Shukla; Nitish Kumar; Tejasri Nampally; D. Santhosh Reddy; P. Rajalakshmi (ICCAE, 2024)

Alzheimer's Disease Prediction using Machine Learning techniques with the help of Electroencephalogram Brain Signal. - R. Aarthi; V. Maadhesh; P. Rajalakshmi; Shanen J. Thomas (ICCCNT, 2024)

Real-Time Deep Learning Based Safe Autonomous Navigation. - Tuhin Dutta; D. Santhosh Reddy; P. Rajalakshmi (ICRCA, 2024)

Towards Real-Time Traffic Sign Recognition in Diverse Weather Conditions Through Adaptive Feature Learning. - Kshitiz Kumar; D. Santhosh Reddy; P. Rajalakshmi (ITSC, 2024)

Enhancing Sidelink V2X Communication in 6G Networks: Power-Domain NOMA-Based Priority Message Transmission Approach. - Annu; P. Rajalakshmi (VNC, 2024)

Distance-Based Queue Modeling in Sidelink C-V2X Communication for Platooning: Towards 6G-V2X. - Annu; P. Rajalakshmi (VTC Fall, 2024)

Evaluating Driver Reactions to Speed Bumps and Potholes for Enhancing Autonomous Vehicle Performance. - Rishav Kumar; Devadas Kuna; D. Santhosh Reddy; Yuki Uetsuki; Dinesh Kumar Sonkar; P. Rajalakshmi (VTC Fall, 2024)

3D YOLO-SM: End-to-End Approach for Real-time Traffic Light Detection and Recognition in Complex Scenarios. - Kshitiz Kumar; D. Santhosh Reddy; P. Rajalakshmi (VTC Fall, 2024)

Design Considerations and Framework Analysis for Software-Defined Autonomous Vehicles. - Kratika Yadav; Swapnil Shinde; Chebrolu Varsha; Ashish Kumar; Vempadapu Ramakrishna; P. Rajalakshmi (VTC Spring, 2024)

Histopathology-based near-realistic arterial wall reconstruction of a patient-specific cerebral aneurysm for fluid-structure interaction studies. - Azhaganmaadevi K. Alagan; Chanikya Valeti; Srinivas Bolem; Omkar Sanjay Karve; K. R. Arvind; P. Rajalakshmi; A. Sabareeswaran; Suraj Gopal; Gowtham Matham; H. R. Darshan; B. J. Sudhir; B. S. V. Patnaik (Comput. Biol. Medicine, 2025)

Dynamic network security leveraging efficient CoviNet with granger causality-inspired graph neural networks for data compression in cloud IoT Devices. - M. Baritha Begum; Yogeshwaran A; N. R. Nagarajan; P. Rajalakshmi (Knowl. Based Syst., 2025)

Improved Panicle Counting With Density-Aware Sampling and Enhanced Matching. - Tejasri Nampally; Tang Li; Wei Guo 002; P. Rajalakshmi; Balram Marathi; Uday B. Desai (IEEE Geosci. Remote. Sens. Lett., 2025)

Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms. - Junchi Zhou; Haozhou Wang; Yoichiro Kato; Tejasri Nampally; P. Rajalakshmi; M. Balram; Keisuke Katsura; Hao Lu; Yue Mu; Wanneng Yang; Yangmingrui Gao; Feng Xiao; et al. (CoRR, 2025)

Deep RL-based Autonomous Navigation of Micro Aerial Vehicles (MAVs) in a complex GPS-denied Indoor Environment. - Amit Kumar Singh; Prasanth Kumar Duba; P. Rajalakshmi (CoRR, 2025)