Diptendu Sinha Roy
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View article: Utilizing AI for Community Protection: Leveraging Open Data to Monitor and Identify Infectious Disease Outbreaks Instantly
Utilizing AI for Community Protection: Leveraging Open Data to Monitor and Identify Infectious Disease Outbreaks Instantly Open
View article: IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM Open
Multi-disease conditions strain the body’s defenses, complicating recovery and increasing mortality risk. Therefore, effective concurrent prevention of multiple diseases is essential for mitigating complications and improving overall well-…
View article: An Intelligent Completion Time Aware Task Scheduling (CTATS) Algorithm for Fog Computing Environment for Delay Sensitive IoT Applications
An Intelligent Completion Time Aware Task Scheduling (CTATS) Algorithm for Fog Computing Environment for Delay Sensitive IoT Applications Open
View article: A Novel Pairing Free Revocable Certificateless Encryption With Ciphertext Evolution for Healthcare System
A Novel Pairing Free Revocable Certificateless Encryption With Ciphertext Evolution for Healthcare System Open
With the advancement of modern healthcare systems, patients now utilize medical sensor nodes to generate health data. These data are then transmitted to healthcare providers for analysis and diagnosis of the patient. These data are sensiti…
View article: Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems Open
Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision learning to identify anomalies, a critical task for smart city monitoring. However, existing multimodal approaches often fail to meet the real-time and interp…
View article: GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks
GANCE: Generative Adversarial Network Assisted Channel Estimation for Unmanned Aerial Vehicles Empowered 5G and Beyond Wireless Networks Open
Unmanned aerial vehicles (UAVs) have discovered a plethora of societal applications such as remote sensing, disaster management, medical emergency, security and surveillance, etc. UAVs require fast and reliable communication lines, and sel…
View article: Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability Open
Deep learning has achieved remarkable success in processing and managing unstructured data. However, its "black box" nature imposes significant limitations, particularly in sensitive application domains. While existing interpretable machin…
View article: Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction
Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction Open
Diabetes, a significant global health crisis, is primarily driven in India by unhealthy diets and sedentary lifestyles, with rapid urbanization amplifying these effects through convenience-oriented living and limited physical activity oppo…
View article: A Lightweight Dual-Branch System for Weakly-Supervised Video Anomaly Detection on Consumer Edge Devices
A Lightweight Dual-Branch System for Weakly-Supervised Video Anomaly Detection on Consumer Edge Devices Open
The growing demand for intelligent security in consumer electronics, such as smart home cameras and personal monitoring systems, is often hindered by the high computational cost and large model sizes of advanced AI. These limitations preve…
View article: An Elliptic Curve Menezes–Qu–Vanston-Based Authentication and Encryption Protocol for IoT
An Elliptic Curve Menezes–Qu–Vanston-Based Authentication and Encryption Protocol for IoT Open
The exponential growth of the Internet of Things (IoT) has led to a surge in data generation, critical for business decisions. Ensuring data authenticity and integrity over unsecured channels is vital, especially due to potential catastrop…
View article: Leveraging Generative and Explainable AI for Electric Vehicle Energy Toward Sustainable, Consumer-Centric Transportation
Leveraging Generative and Explainable AI for Electric Vehicle Energy Toward Sustainable, Consumer-Centric Transportation Open
In Industry 5.0, predicting electric vehicle energy usage enhances efficiency and sustainability, optimizes charging infrastructure, and meets consumer demands. Leveraging IoT, AI, and analytics enables smart charging that aligns with rene…
View article: Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES
Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES Open
Edge Servers (ESs) enhance the efficiency and reliability of modern Beyond Fifth-Generation (B5G) network systems by reducing latency, boosting responsiveness, and optimizing network usage. From an industry standpoint, the optimal position…
View article: Edge assisted, forecast integrated ensemble learning based service management scheme for delay minimization in smart cities applications
Edge assisted, forecast integrated ensemble learning based service management scheme for delay minimization in smart cities applications Open
As the Internet of Things (IoT) is maturing as a technology, innovative and cross-domain IoT applications have seen smart cities being conceived and designed across the globe, though with data and resource management challenges, Quality of…
View article: Data-Driven Diffraction Loss Estimation for Future Intelligent Transportation Systems in 6G Networks
Data-Driven Diffraction Loss Estimation for Future Intelligent Transportation Systems in 6G Networks Open
The advancement of 6G networks is driven by the need for customer-centric communication and network control, particularly in applications such as intelligent transport systems. These applications rely on outdoor communication in extremely …
View article: A Residual Resource Fitness-Based Genetic Algorithm for a Fog-Level Virtual Machine Placement for Green Smart City Services
A Residual Resource Fitness-Based Genetic Algorithm for a Fog-Level Virtual Machine Placement for Green Smart City Services Open
Energy efficient information and communication technology (ICT) infrastructure at all levels of a city’s edifice constitutes a core requirement within the sustainable development goals. The ICT infrastructure of smart cities can be conside…
View article: Assessment of Behavioral Impacts and Socio-Economic Status stand of Blockchain Games to Undergraduate Students in Metro Manila
Assessment of Behavioral Impacts and Socio-Economic Status stand of Blockchain Games to Undergraduate Students in Metro Manila Open
Virtual Economies continue to be a global phenomenon, and cryptocurrency is prominent in this process, and it can be attained by playing blockchains.The rise of non-fungible tokens (NFTs) is also increasing the demand for Ethereum.Thus, th…
View article: Design and Implementation of an Asymmetric Face Recognition System Based on Unsupervised Learning
Design and Implementation of an Asymmetric Face Recognition System Based on Unsupervised Learning Open
This paper mainly discusses the asymmetric face recognition problem where the number of names in a name list and the number of faces in the photo might not be equal, but each face should be automatically labeled with a name. The motivation…
View article: A Smart Service Model for Smart City: A Context-Based IoT Enabled Deep Learning Approach for Intelligent Transportation System
A Smart Service Model for Smart City: A Context-Based IoT Enabled Deep Learning Approach for Intelligent Transportation System Open
Transportation is considered the fundamental pillarof economic growth in any society. Still, inherent issues likeaccidents, higher fuel consumption, and pollution have pavedthe way for the rise of the intelligent transportation system(ITS)…
View article: An Intelligent Health Care System in Fog Platform with Optimized Performance
An Intelligent Health Care System in Fog Platform with Optimized Performance Open
Cloud computing delivers services through the Internet and enables the deployment of a diversity of apps to provide services to many businesses. At present, the low scalability of these cloud frameworks is their primary obstacle. As a resu…
View article: Performance Evaluation and Cyberattack Mitigation in a Blockchain-Enabled Peer-to-Peer Energy Trading Framework
Performance Evaluation and Cyberattack Mitigation in a Blockchain-Enabled Peer-to-Peer Energy Trading Framework Open
With the electric power grid experiencing a rapid shift to the smart grid paradigm over a deregulated energy market, Internet of Things (IoT)-based solutions are gaining prominence, and innovative peer-to-peer (P2P) energy trading at a mic…
View article: Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks
Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks Open
Mobile Edge Computing (MEC) in 5G networks has emerged as a promising technology to enable efficient and low-latency services for mobile users. In this paper, we present a novel synthetic data generation approach tailored for evaluating ME…
View article: 5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities
5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities Open
This paper introduces 5GT-GAN, a novel approach leveraging generative adversarial networks (GANs) to create synthetic mobile Internet traffic data, particularly tailored to smart city applications. Given the challenges of data scarcity and…
View article: Transforming Internet Traffic Prediction with 5gt-Trans: A Synthetic Data and Transformer-Based Approach
Transforming Internet Traffic Prediction with 5gt-Trans: A Synthetic Data and Transformer-Based Approach Open
View article: An AI-Assisted Smart Healthcare System Using 5G Communication
An AI-Assisted Smart Healthcare System Using 5G Communication Open
Technology’s fast growth has profoundly impacted myriad areas, including healthcare. Implementing 5G networks offering high-speed and low-latency communication capabilities is one of the most promising technical developments. Parallel to t…
View article: Design and Implementation of a Real-Time Face Recognition System Based on Artificial Intelligence Techniques
Design and Implementation of a Real-Time Face Recognition System Based on Artificial Intelligence Techniques Open
This paper mainly discusses the asymmetric face recognition problem where the number of names in a name list and the number of faces in the photo might not be equal, but each face should be automatically labeled with a name. The motivation…
View article: An Efficient Fog Layer Task Scheduling Algorithm for Multi-Tiered IoT Healthcare Systems
An Efficient Fog Layer Task Scheduling Algorithm for Multi-Tiered IoT Healthcare Systems Open
IoT-based healthcare systems are becoming popular due to the extreme benefits patients, families, physicians, hospitals, and insurance companies are getting. Cloud is used traditionally for almost every IoT application, but cloud located f…
View article: GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force
GaitRec-Net: A Deep Neural Network for Gait Disorder Detection Using Ground Reaction Force Open
Walking (gait) irregularities and abnormalities are predictors and symptoms of disorder and disability. In the past, elaborate video (camera-based) systems, pressure mats, or a mix of the two has been used in clinical settings to monitor a…
View article: JSQE: Joint Surveillance Quality and Energy Conservation for Barrier Coverage in WSNs
JSQE: Joint Surveillance Quality and Energy Conservation for Barrier Coverage in WSNs Open
Barrier coverage is a fundamental issue in wireless sensor networks (WSNs). Most existing works have developed centralized algorithms and applied the Boolean Sensing Model (BSM). However, the critical characteristics of sensors and environ…
View article: A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed
A Novel Blockchain-Based Healthcare System Design and Performance Benchmarking on a Multi-Hosted Testbed Open
As a result of the proliferation of digital and network technologies in all facets of modern society, including the healthcare systems, the widespread adoption of Electronic Healthcare Records (EHRs) has become the norm. At the same time, …
View article: Robust Detection of Tables in Documents Using Scores from Table Cell Cores
Robust Detection of Tables in Documents Using Scores from Table Cell Cores Open
Table detection is an essential step in many document analysis systems. Tabular data are a pivotal form of information representation that can organize data in a conventional structure for comfortable and quick information retrieval and co…