101 citations · 188 across the 17 of their papers we have counts for
17 papers
Ultra-Short rPPG Estimation via Periodicity Guidance and Signal Reconstruction
Pei-Kai Huang, Ya-Ting Chan, Kuan-Wen Chen +3
Many remote Heart Rate (HR) measurement methods focus on estimating remote photoplethysmography (rPPG) signals from video clips lasting around 10 seconds but often overlook the nee…
Stealth Signals: Multi-Discriminator GANs for Covert Communications Against Diverse Wardens
Afan Ali, Md. Jalil Piran, Huseyin Arslan
Covert wireless communications are critical for concealing the existence of any transmission from adversarial wardens, particularly in complex environments with multiple heterogene…
Integration of SDN and Digital Twin for the Intelligent Detection of DoC Attacks in WRSNs
Muhammad Umar Farooq Qaisar, Weijie Yuan, Guangjie Han +3
Wireless rechargeable sensor networks (WRSNs), supported by recent advancements in wireless power transfer (WPT) technology, hold significant potential for extending network lifeti…
Vision Transformer for Intracranial Hemorrhage Classification in CT Scans Using an Entropy-Aware Fuzzy Integral Strategy for Adaptive Scan-Level Decision Fusion
Mehdi Hosseini Chagahi, Md. Jalil Piran, Niloufar Delfan +2
Intracranial hemorrhage (ICH) is a critical medical emergency caused by the rupture of cerebral blood vessels, leading to internal bleeding within the skull. Accurate and timely cl…
Enhancing Research Methodology and Academic Publishing: A Structured Framework for Quality and Integrity
Md. Jalil Piran, Nguyen H. Tran
Following a brief introduction to research, research processes, research types, papers, reviews, and evaluations, this paper presents a structured framework for addressing inconsis…
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening
Mehdi Hosseini Chagahi, Niloufar Delfan, Behzad Moshiri +2
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in or around the brain. If this cond…
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Niloufar Delfan +5
Osteoporosis is a common condition that increases fracture risk, especially in older adults. Early diagnosis is vital for preventing fractures, reducing treatment costs, and preser…
Explainable AI for Fraud Detection: An Attention-Based Ensemble of CNNs, GNNs, and A Confidence-Driven Gating Mechanism
Mehdi Hosseini Chagahi, Niloufar Delfan, Saeed Mohammadi Dashtaki +2
The rapid expansion of e-commerce and the widespread use of credit cards in online purchases and financial transactions have significantly heightened the importance of promptly and…
A Multisource Fusion Framework for Cryptocurrency Price Movement Prediction
Saeed Mohammadi Dashtaki, Reza Mohammadi Dashtaki, Mehdi Hosseini Chagahi +2
Predicting cryptocurrency price trends remains a major challenge due to the volatility and complexity of digital asset markets. Artificial intelligence (AI) has emerged as a powerf…
A Survey on Security of Ultra/Hyper Reliable Low Latency Communication: Recent Advancements, Challenges, and Future Directions
Annapurna Pradhan, Susmita Das, Md. Jalil Piran +1
Ultra-reliable low latency communication (URLLC) is an innovative service offered by fifth-generation (5G) wireless systems. URLLC enables various mission-critical applications by…
A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems
Ramalingam M, Chemmalar Selvi, Nancy Victor +8
Blockchain (BC) and Computer Vision (CV) are the two emerging fields with the potential to transform various sectors.The ability of BC can help in offering decentralized and secure…
A Comprehensive Survey on Affective Computing; Challenges, Trends, Applications, and Future Directions
Sitara Afzal, Haseeb Ali Khan, Imran Ullah Khan +2
As the name suggests, affective computing aims to recognize human emotions, sentiments, and feelings. There is a wide range of fields that study affective computing, including lang…
A Comprehensive Survey of Transformers for Computer Vision
Sonain Jamil, Md. Jalil Piran, Oh-Jin Kwon
As a special type of transformer, Vision Transformers (ViTs) are used to various computer vision applications (CV), such as image recognition. There are several potential problems…
Learning-Driven Lossy Image Compression; A Comprehensive Survey
Sonain Jamil, Md. Jalil Piran, MuhibUrRahman
In the realm of image processing and computer vision (CV), machine learning (ML) architectures are widely applied. Convolutional neural networks (CNNs) solve a wide range of image…
Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan +3
By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry~4.0 promotes integrating cyber-physical…
A Comprehensive Survey on 6G Networks:Applications, Core Services, Enabling Technologies, and Future Challenges
Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran +1
Cellular Internet of Things (IoT) is considered as de facto paradigm to improve the communication and computation systems. Cellular IoT connects massive number of physical and virt…
Learning-Driven Wireless Communications, towards 6G
Md. Jalil Piran, Doug Young Suh
The fifth generation (5G) of wireless communication is in its infancy, and its evolving versions will be launched over the coming years. However, according to exposing the inherent…