16 citations · 36 across the 12 of their papers we have counts for
13 papers
Temporally Ordered Region-Token Mamba with Logit-Space Diffusion for Remote Sensing Change Detection
Anuvab Sen, Maneet Chatterjee, Aparup Ghosh +3
Remote sensing change detection requires both global reasoning across bitemporal images and precise localization of changed regions. However, dense attention is computationally exp…
SSP-QST: Spectral Subspace Purification for Photonic Quantum State Tomography
Anuvab Sen, Saibal Mukhopadhyay
Photonic quantum sensing often uses low-rank entangled probes such as Greenberger-Horne-Zeilinger (GHZ), Bell, and NOON states. Although these probes are ideally rank-1, practical…
RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation
Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay
This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. The method processes raw ADC data in a chirp-wise streaming manner, pre…
SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection
Anuab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay
We introduce SSMRadNet, the first multi-scale State Space Model (SSM) based detector for Frequency Modulated Continuous Wave (FMCW) radar that sequentially processes raw ADC sample…
DeepEyeNet: Adaptive Genetic Bayesian Algorithm Based Hybrid ConvNeXtTiny Framework For Multi-Feature Glaucoma Eye Diagnosis
Angshuman Roy, Anuvab Sen, Soumyajit Gupta +4
Glaucoma is a leading cause of irreversible blindness worldwide, emphasizing the critical need for early detection and intervention. In this paper, we present DeepEyeNet, a novel a…
QGAPHEnsemble : Combining Hybrid QLSTM Network Ensemble via Adaptive Weighting for Short Term Weather Forecasting
Anuvab Sen, Udayon Sen, Mayukhi Paul +4
Accurate weather forecasting holds significant importance, serving as a crucial tool for decision-making in various industrial sectors. The limitations of statistical models, assum…
ExoSpikeNet: A Light Curve Analysis Based Spiking Neural Network for Exoplanet Detection
Maneet Chatterjee, Anuvab Sen, Subhabrata Roy
Exoplanets are celestial bodies orbiting stars beyond our Solar System. Although historically they posed detection challenges, Kepler's data has revolutionized our understanding. B…
A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease
Anuvab Sen, Udayon Sen, Subhabrata Roy
A number of life threatening neuro-degenerative disorders had degraded the quality of life for the older generation in particular. Dementia is one such symptom which may lead to a…
Differential Evolution Algorithm based Hyper-Parameters Selection of Convolutional Neural Network for Speech Command Recognition
Sandipan Dhar, Anuvab Sen, Aritra Bandyopadhyay +3
Speech Command Recognition (SCR), which deals with identification of short uttered speech commands, is crucial for various applications, including IoT devices and assistive technol…
Differential Evolution Algorithm Based Hyperparameter Selection of Gated Recurrent Unit for Electrical Load Forecasting
Anuvab Sen, Vedica Gupta, Chi Tang
Accurate load forecasting remains a formidable challenge in numerous sectors, given the intricate dynamics of dynamic power systems, which often defy conventional statistical model…
Comparative Evaluation of Metaheuristic Algorithms for Hyperparameter Selection in Short-Term Weather Forecasting
Anuvab Sen, Arul Rhik Mazumder, Dibyarup Dutta +3
Weather forecasting plays a vital role in numerous sectors, but accurately capturing the complex dynamics of weather systems remains a challenge for traditional statistical models.…
Benchmarking Metaheuristic-Integrated QAOA against Quantum Annealing
Arul Rhik Mazumder, Anuvab Sen, Udayon Sen
The Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising Noisy Intermediate Quantum Algorithms (NISQ) in solving combinatorial optimizations and displays…
Differential Evolution Algorithm based Hyper-Parameters Selection of Transformer Neural Network Model for Load Forecasting
Anuvab Sen, Arul Rhik Mazumder, Udayon Sen
Accurate load forecasting plays a vital role in numerous sectors, but accurately capturing the complex dynamics of dynamic power systems remains a challenge for traditional statist…