Senthil Kumar Jagatheesaperumal
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View article: Metaverse Platforms for Immersive Healthcare: A Survey on Telemedicine Solutions
Metaverse Platforms for Immersive Healthcare: A Survey on Telemedicine Solutions Open
Health disorders are characterized by physical health and mental health, which are pretty standard among the majority of the population. Telemedicine solutions to address such issues are experienced only by a significant portion of health …
View article: Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities
Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities Open
Monitoring fatigue is essential for improving safety, particularly for people who work long shifts or in high-demand and high-risk environments such as transportation, construction, healthcare, and manufacturing. The development of wearabl…
View article: Educational data mining: a 10-year review
Educational data mining: a 10-year review Open
This systematic review comprehensively examines the application and impacts of Educational Data Mining (EDM) over the past decade. It explores the use of various data mining tools and techniques, statistics, and machine learning algorithms…
View article: Accelerated task learning using Q-learning with reduced state space and reward with bootstrapping effect
Accelerated task learning using Q-learning with reduced state space and reward with bootstrapping effect Open
The influence of robots has been rapidly increasing in domestic scenarios. Robots learning in a self-supervised manner will be more efficient than programmed intelligence. In this paper, we present Q-learning-based task learning through in…
View article: AUTONOMOUS WITH GPS BASED CONTROLLED MOBILE ROBOT FOR MATERIAL HANDLING IN WAREHOUSE
AUTONOMOUS WITH GPS BASED CONTROLLED MOBILE ROBOT FOR MATERIAL HANDLING IN WAREHOUSE Open
The Autonomous Guided Vehicles (AGVs), that relied on tracks and specially defined paths or were to be overseen by operators, AMRs have evolved. PNO AMRs: using a rich set of sensors and artificial intelligence and machine learning, with c…
View article: Foreign object debris detection in lane images using deep learning methodology
Foreign object debris detection in lane images using deep learning methodology Open
Background Foreign object debris (FOD) is an unwanted substance that damages vehicular systems, most commonly the wheels of vehicles. In airport runways, these foreign objects can damage the wheels or internal systems of planes, potentiall…
View article: Textual variations in social media text processing applications: challenges, solutions, and trends
Textual variations in social media text processing applications: challenges, solutions, and trends Open
View article: Blockchain-Based Security Architecture for Uncrewed Aerial Systems in B5G/6G Services and Beyond: A Comprehensive Approach
Blockchain-Based Security Architecture for Uncrewed Aerial Systems in B5G/6G Services and Beyond: A Comprehensive Approach Open
Uncrewed aerial systems (UASs) were popularly used by hobbyists in the past, but they have now become critical enablers for managing disasters, handling emergencies, and so on. For example, one of their most critical applications is to pro…
View article: Deepfake Detection Using Adversarial Neural Network
Deepfake Detection Using Adversarial Neural Network Open
View article: Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities
Fatigue Monitoring Using Wearables and AI: Trends, Challenges, and Future Opportunities Open
Monitoring fatigue is essential for improving safety, particularly for people who work long shifts or in high-demand workplaces. The development of wearable technologies, such as fitness trackers and smartwatches, has made it possible to c…
View article: Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder
Advancements in Machine Learning and Deep Learning for Early Detection and Management of Mental Health Disorder Open
For the early identification, diagnosis, and treatment of mental health illnesses, the integration of deep learning (DL) and machine learning (ML) has started playing a significant role. By evaluating complex data from imaging, genetics, a…
View article: Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks
Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks Open
The explosive growth of the Internet of Things (IoT) has significantly increased networked devices within distributed and heterogeneous networks. Due to these networks’ inherent vulnerabilities and diversity, the proliferation of IoT devic…
View article: Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions
Social Media Informatics for Sustainable Cities and Societies: An Overview of the Applications, associated Challenges, and Potential Solutions Open
In the modern world, our cities and societies face several technological and societal challenges, such as rapid urbanization, global warming & climate change, the digital divide, and social inequalities, increasing the need for more sustai…
View article: Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods
Online Network DoS/DDoS Detection: Sampling, Change Point Detection, and Machine Learning Methods Open
View article: Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges
Deep Learning Frameworks for Cognitive Radio Networks: Review and Open Research Challenges Open
Deep learning has been proven to be a powerful tool for addressing the most significant issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource allocation, and security attacks. The utilization of deep lear…
View article: MetaDigiHuman: Haptic Interfaces for Digital Humans in Metaverse
MetaDigiHuman: Haptic Interfaces for Digital Humans in Metaverse Open
The way we engage with digital spaces and the digital world has undergone rapid changes in recent years, largely due to the emergence of the Metaverse. As technology continues to advance, the demand for sophisticated and immersive interfac…
View article: Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness
Enabling Trustworthy Federated Learning in Industrial IoT: Bridging the Gap Between Interpretability and Robustness Open
Federated Learning (FL) represents a paradigm shift in machine learning,\nallowing collaborative model training while keeping data localized. This\napproach is particularly pertinent in the Industrial Internet of Things (IIoT)\ncontext, wh…
View article: QCASBC: An algorithm for hardware-in-the-loop simulation of 3-link RRR robotic manipulator
QCASBC: An algorithm for hardware-in-the-loop simulation of 3-link RRR robotic manipulator Open
In this paper, a quick convergence adaptive structure is proposed for trajectory tracking of an articulated type robotic manipulator using the Hardware in the Loop (HIL) simulation technique. A novel Nonlinear Quick Convergence Adaptive Sl…
View article: Deep learning for personalized health monitoring and prediction: A review
Deep learning for personalized health monitoring and prediction: A review Open
Personalized health monitoring and prediction are indispensable in advancing healthcare delivery, particularly amidst the escalating prevalence of chronic illnesses and the aging population. Deep learning (DL) stands out as a promising ave…
View article: Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey
Applications of Generative AI (GAI) for Mobile and Wireless Networking: A Survey Open
The success of Artificial Intelligence (AI) in multiple disciplines and vertical domains in recent years has promoted the evolution of mobile networking and the future Internet toward an AI-integrated Internet-of-Things (IoT) era. Neverthe…
View article: The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review
The synergistic interplay of artificial intelligence and digital twin in environmentally planning sustainable smart cities: A comprehensive systematic review Open
View article: Rate splitting with semantics as a generalized multi-access framework for intelligent reflecting surfaces
Rate splitting with semantics as a generalized multi-access framework for intelligent reflecting surfaces Open
The rapid advancement of modern communication technologies necessitates the development of generalized multi-access frameworks and the continuous implementation of rate splitting, augmented with semantic awareness. This trend, coupled with…
View article: Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety
Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety Open
View article: Accelerated multi-objective task learning using modified <i>Q</i>-learning algorithm
Accelerated multi-objective task learning using modified <i>Q</i>-learning algorithm Open
Robots find extensive applications in industry. In recent years, the\ninfluence of robots has also increased rapidly in domestic scenarios. The\nQ-learning algorithm aims to maximise the reward for reaching the goal. This\npaper proposes a…
View article: Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval
Comparison Between State-of-the-Art Color Local Binary Pattern-Based Descriptors for Image Retrieval Open
In recent years, color Local Binary Pattern (LBP) based descriptors have garnered substantial attention in computer vision and image analysis. This study presents a comprehensive review of color LBP-based descriptors developed over the pas…
View article: Novel Cognitive Assisted Adaptive Frame Selection for Continuous Sign Language Recognition in Videos Using ConvLSTM
Novel Cognitive Assisted Adaptive Frame Selection for Continuous Sign Language Recognition in Videos Using ConvLSTM Open
People with a hearing impairment commonly use sign language for communication, however, they find it challenging to communicate with a normal person who does not recognise the sign language. They normally require an intermediary human to a…
View article: Deep Learning-Based Interactive Dashboard for Enhancing Online Classroom Experience Through Student Emotion Analysis
Deep Learning-Based Interactive Dashboard for Enhancing Online Classroom Experience Through Student Emotion Analysis Open
An interactive analytical dashboard that analyzes students’ facial expressions during online lectures is crucial for digital learning platforms. This research addresses the need for educational institutions to analyze individual students’ …
View article: Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review
Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review Open
The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles (IoV) technology. The functional advantages of IoV include online communication services, accident prevention, cos…
View article: Communications Security in Industry X: A Survey
Communications Security in Industry X: A Survey Open
Industry 4.0 is moving towards deployment using 5G as one of the main underlying communication infrastructures. Thus, the vision of the Industry of the future is getting more attention in research. Industry X (InX) is a significant thrust …
View article: Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey Open
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI and ML models are becoming more complex, there is a growin…