Publications
My accepted manuscripts and under-review research.
DDV-GNet: High-Throughput Defect Detection for Space Manufacturing via Deep Delta Gated Networks
L. Chhetri, A. Kumar. (2026). “DDV-GNet: High-Throughput Defect Detection for Space Manufacturing via Deep Delta Gated Networks.” IEEE SPACE (Accepted for Oral Presentation).
Intrinsic Neural Firewalls for Cyber-Physical Systems: Robust Anomaly Rejection via Deep Delta Residual Overwrites
R. Das, L. Chhetri, A. Kumar, P. Ghosal. (2026). “Intrinsic Neural Firewalls for Cyber-Physical Systems: Robust Anomaly Rejection via Deep Delta Residual Overwrites.” WIN 6.0 (Accepted for Oral Presentation).
SPECTRAFORGE: Domain-Equalized Frequency-Spatial Fusion for Synthetic Dermatology Detection
A. Kumar, L. Chhetri, D. Das. (2026). “SPECTRAFORGE: Domain-Equalized Frequency-Spatial Fusion for Synthetic Dermatology Detection.” IEEE DSAA (Under Review).
Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies
L. Chhetri, A. Kumar. (2026). “Optimizing Deep Learning for Brain Tumor Classification: A Comparative Ablation Study of Preprocessing and Augmentation Strategies.” IEEE GCON (Accepted).
Deep Delta Vision Mamba: A Lightweight State Space Architecture with Deep Delta Learning for Efficient Remote Sensing
L. Chhetri, A. Kumar, G. Sarma. (2026). “Deep Delta Vision Mamba: A Lightweight State Space Architecture with Deep Delta Learning for Efficient Remote Sensing.” IEEE CONECCT (Accepted).
Ionospheric TEC Forecasting via Deep Delta Learning
A. Kumar, L. Chhetri. (2026). “Ionospheric TEC Forecasting via Deep Delta Learning.” Advances in Space Research (SCIE Q2) (Under Review).
Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery
A. Mukherjee, A. Kumar, SR. Verma, H. Das, L. Chhetri, G. Sarma. (2026). “Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery.” ICCI (Under Review).
Beyond Limited Labels: Safe Semi-Supervised Learning for Malaria Diagnosis
L. Chhetri, A. Kumar. (2026). “Beyond Limited Labels: Safe Semi-Supervised Learning for Malaria Diagnosis.” IEEE DSAA (Under Review).
Interpretable Solar Panel Defect Detection via Fuzzy Rule Extraction from Deep Learning Architectures
A. Kumar, SR. Verma, H. Das, L. Chhetri, G. Sarma. (2026). “Interpretable Solar Panel Defect Detection via Fuzzy Rule Extraction from Deep Learning Architectures.” ICCI (Under Review).