2 citations · 2 across the 8 of their papers we have counts for
8 papers
Reinforcement Learning-Driven Edge Management for Reliable Multi-view 3D Reconstruction
Motahare Mounesan, Sourya Saha, Houchao Gan +2
Real-time multi-view 3D reconstruction is a mission-critical application for key edge-native use cases, such as fire rescue, where timely and accurate 3D scene modeling enables sit…
Detection of Misreporting Attacks on Software-Defined Immersive Environments
Sourya Saha, Md Nurul Absur, Shima Yousefi +1
The ability to centrally control network infrastructure using a programmable middleware has made Software-Defined Networking (SDN) ideal for emerging applications, such as immersiv…
Detection and Recovery of Adversarial Slow-Pose Drift in Offloaded Visual-Inertial Odometry
Soruya Saha, Md Nurul Absur, Saptarshi Debroy
Visual-Inertial Odometry (VIO) supports immersive Virtual Reality (VR) by fusing camera and Inertial Measurement Unit (IMU) data for real-time pose. However, current trend of offlo…
Reliable Multi-view 3D Reconstruction for `Just-in-time' Edge Environments
Md. Nurul Absur, Abhinav Kumar, Swastik Brahma +1
Multi-view 3D reconstruction applications are revolutionizing critical use cases that require rapid situational-awareness, such as emergency response, tactical scenarios, and publi…
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
Abdullah Al Mamun, Pollob Chandra Ray, Md Rahat Ul Nasib +3
The rapid advancement of deep learning in medical image analysis has greatly enhanced the accuracy of skin cancer classification. However, current state-of-the-art models, especial…
Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
Abrar Fahim, Shamik Dey, Md. Nurul Absur +3
Digital systems find it challenging to keep up with cybersecurity threats. The daily emergence of more than 560,000 new malware strains poses significant hazards to the digital eco…