180 citations
- Bangladesh University of Engineering and TechnologyBD2 papers
- State University of BangladeshBD2 papers
- Télécom ParisFR2 papers
- University of VermontUS2 papers
- Allen Institute for Cell ScienceUS1 paper
- American International University-BangladeshBD1 paper
- Ames Research CenterUS1 paper
- Baker Heart and Diabetes InstituteAU1 paper
- Broad InstituteUS1 paper
- Carl Zeiss (Germany)DE1 paper
- Centre for Genomic RegulationES1 paper
- Centre for Human Drug ResearchNL1 paper
7 papers · 1 filter
CST-AFNet: A dual attention-based deep learning framework for intrusion detection in IoT networks
Waqas Ishtiaq, Ashrafun Zannat, A. H. M. Shahariar Parvez +3
The rapid expansion of the Internet of Things (IoT) has revolutionized modern industries by enabling smart automation and real time connectivity. However, this evolution has also i…
A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
Tarun Kumar Biswas, Ashrafun Zannat, Waqas Ishtiaq +1
The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of…
Optimal Transport Based Hyperspectral Unmixing for Highly Mixed Observations
D. Doutsas, B. Figliuzzi
We propose a novel approach based on optimal transport (OT) for tackling the problem of highly mixed data in blind hyperspectral unmixing. Our method constrains the distribution of…
A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
Md. Alamgir Hossain, Waqas Ishtiaq, Md. Samiul Islam
The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-base…
Extending a Phylogeny-based Method for Detecting Signatures of Multi-level Selection for Applications in Artificial Life
Matthew Andres Moreno, Sanaz Hasanzadeh Fard, Luis Zaman +1
Multilevel selection occurs when short-term individual-level reproductive interests conflict with longer-term group-level fitness effects. Detecting and quantifying this phenomenon…
Disentangling temperature and Reynolds number effects in quantum turbulence
Juan Ignacio Polanco, Philippe-E. Roche, Luminita Danaila +1
The interplay between viscous and frictional dissipation is key to understanding quantum turbulence dynamics in superfluid He. Based on a coarse-grained two-fluid description,…