5 papers
Radar Detection in the CBRS Band: Techniques, Challenges, and Future Directions
Madan Baduwal, Priyanka Paudel
The 3.5 GHz Citizens Broadband Radio Service (CBRS) is a shared wireless band that allows both government systems and commercial networks (such as private LTE/5G) to use the same s…
QFedPolyp: A Communication- and Inference-Efficient Federated Learning Framework for Polyp Segmentation
Madan Baduwal, Priyanka Paudel
Background and Objective: Automatic polyp segmentation supports computer-aided diagnosis and early colorectal cancer detec- tion. Centralized deep learning requires hospitals to sh…
Benchmarking Machine Learning Models for Multi-Omics-Based Breast Cancer Prediction
Priyanka Paudel, Madan Baduwal
Estrogen Receptor (ER) status is a critical biomarker in breast cancer diagnosis, prognosis, and treatment selection. Recent advances in high-throughput sequencing technologies hav…
PERFECT: Personalized Federated Learning for CBRS Radar Detection
Shafi Ullah Khan, Madan Baduwal, Vini Chaudhary +1
The Citizens Broadband Radio Service (CBRS) band is pivotal for expanding next-generation wireless services, but its success hinges on robustly protecting incumbent users, such as…
Hybrid(Transformer+CNN)-based Polyp Segmentation
Madan Baduwal
Colonoscopy is still the main method of detection and segmentation of colonic polyps, and recent advancements in deep learning networks such as U-Net, ResUNet, Swin-UNet, and PraNe…