Abdul Khader Jilani Saudagar
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View article: CRTSC: Channel-Wise Recalibration and Texture-Structural Consistency Constraint for Anomaly Detection in Medical Chest Images
CRTSC: Channel-Wise Recalibration and Texture-Structural Consistency Constraint for Anomaly Detection in Medical Chest Images Open
Unsupervised medical image anomaly detection, which does not need any labels, holds a pivotal role in early disease detection for advancing human intelligent health, and it is among the prominent research endeavors in the realm of biomedic…
View article: Machine learning-powered nanoengineering of flexible, durable and scalable photoelectrode for efficient H2 production
Machine learning-powered nanoengineering of flexible, durable and scalable photoelectrode for efficient H2 production Open
View article: Detecting electricity theft in smart grids using optimized machine learning ensemble techniques and eXplainable AI
Detecting electricity theft in smart grids using optimized machine learning ensemble techniques and eXplainable AI Open
View article: Skin cancer classification using novel fairness based federated learning algorithm
Skin cancer classification using novel fairness based federated learning algorithm Open
Numerous skin conditions fall under the category of dermatological diseases, which make proper diagnosis and treatment planning difficult. Our research centres on tackling these obstacles within the framework of federated learning, a decen…
View article: Optimizing resource allocation in precision farming using quantum enhanced algorithms and quantum sensor networks
Optimizing resource allocation in precision farming using quantum enhanced algorithms and quantum sensor networks Open
This study proposes QYieldOpt, a hybrid quantum-classical framework for real-time resource optimization in precision farming, integrating a Quantum Approximate Optimization Algorithm (QAOA-R), Quantum Gradient Allocation Optimizer (QGAO), …
View article: DiaBD: A novel benchmark dataset for diabetes prediction
DiaBD: A novel benchmark dataset for diabetes prediction Open
Diabetes mellitus (DM) is a global health challenge that requires efficient and accurate prediction models for its early diagnosis and management. This research introduces a novel benchmark dataset named “Diabetes in Bangladesh (DiaBD),” c…
View article: A new hierarchical coordination model for exchanging power among micro grids
A new hierarchical coordination model for exchanging power among micro grids Open
View article: Hybrid optimization-based deep learning for energy efficiency resource allocation in MIMO-enabled wireless networks
Hybrid optimization-based deep learning for energy efficiency resource allocation in MIMO-enabled wireless networks Open
Resource allocation in multiple-input multiple-output (MIMO)-enabled wireless networks is designated for multiple users, which aims to optimize the distribution of network resources. This network's main intent is to maximize system perform…
View article: Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics
Innovating medical education using a cost effective and scalable VR platform with AI-Driven haptics Open
Virtual Reality (VR) technology offers a scalable and cost-effective approach to overcome the challenges of traditional medical training, including high expenses, limited resources, and ethical issues. This study presents a VR-based medica…
View article: An optimized Deep and Active Learning oriented framework for intrusion detection in Internet of Sensor Things
An optimized Deep and Active Learning oriented framework for intrusion detection in Internet of Sensor Things Open
Intrusion Detection Systems (IDS) play a key role in protecting modern network infrastructures from malicious activities in the internet of sensor things domain. However, the presence of class imbalance, limited labeled data, and the need …
View article: Decoding ’Eligibility Unknown’: transparent classification and feature-based reclassification in CAFV analysis
Decoding ’Eligibility Unknown’: transparent classification and feature-based reclassification in CAFV analysis Open
View article: KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection
KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection Open
The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection systems (IDS) capable of operating within the stringent resource constraints of IoT devices. This study introduces KronNet, a lightweight f…
View article: DeepLASD countermeasure for logical access audio spoofing
DeepLASD countermeasure for logical access audio spoofing Open
View article: Eff-ReLU-Net: a deep learning framework for multiclass wound classification
Eff-ReLU-Net: a deep learning framework for multiclass wound classification Open
View article: ARNet: Integrating Spatial and Temporal Deep Learning for Robust Action Recognition in Videos
ARNet: Integrating Spatial and Temporal Deep Learning for Robust Action Recognition in Videos Open
View article: VQ‐Rice: Integrating Variational Quantum Models for Intelligent Rice Disease Classification
VQ‐Rice: Integrating Variational Quantum Models for Intelligent Rice Disease Classification Open
This study presents a novel hybrid quantum‐classical framework for rice disease diagnosis, leveraging variational quantum circuits (VQCs) to address the limitations of traditional and deep learning models in precision agriculture. The prop…
View article: A CNN-Based Framework for Geometric Alignment of Historical and Satellite Imagery
A CNN-Based Framework for Geometric Alignment of Historical and Satellite Imagery Open
This paper addresses the difficulty of aligning historical aerial photographs with other archive images or modern satellite imagery, which is crucial for applications such as landscape comparison, shoreline erosion monitoring, and urban ex…
View article: Multimodal Fine-Tuning of LLMs for Robust Document Visual Question Answering
Multimodal Fine-Tuning of LLMs for Robust Document Visual Question Answering Open
Document Visual Question Answering (DocVQA) necessitates comprehension of both the spatial layout and the textual content. Multimodal pretraining is a foundational component of existing vision-language models, including LayoutLM. However, …
View article: Joint Estimation of Elevation and Azimuth Angles with Triple-Parallel ULAs Using Metaheuristic and Direct Search Methods
Joint Estimation of Elevation and Azimuth Angles with Triple-Parallel ULAs Using Metaheuristic and Direct Search Methods Open
View article: An Efficient Content Caching Strategy for Fog-Enabled Road Side Units in Vehicular Networks
An Efficient Content Caching Strategy for Fog-Enabled Road Side Units in Vehicular Networks Open
View article: Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN)
Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN) Open
Heart disease is a complex and widespread illness that affects a significant number of people worldwide. Machine learning provides a way forward for early heart disease diagnosis. A classification model has been developed for the present s…
View article: Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies
Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies Open
This research presents an innovative approach to revolutionize IoT service development in medical education, specifically designed to empower individuals with physical disabilities. By integrating digital twin technology, we offer dynamic …
View article: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction Open
View article: Spatiotemporal correlation based self-adaptive pose estimation in complex scenes
Spatiotemporal correlation based self-adaptive pose estimation in complex scenes Open
In the current digital era, large-scale Artificial Intelligence (AI) models have fundamentally changed the landscape of the AI field. These models excel at extracting complex patterns and information from massive datasets, making them indi…
View article: Mediverse Beyond Boundaries: A Comprehensive Analysis of AR and VR Integration in Medical Education for Diverse Abilities
Mediverse Beyond Boundaries: A Comprehensive Analysis of AR and VR Integration in Medical Education for Diverse Abilities Open
This research paper explores the pioneering role of augmented reality (AR) and virtual reality (VR) in reshaping medical education within the metaverse, focusing particularly on their remarkable benefits for individuals with disabilities. …
View article: A Novel Machine Learning-Based Prediction Method for Early Detection and Diagnosis of Congenital Heart Disease Using ECG Signal Processing
A Novel Machine Learning-Based Prediction Method for Early Detection and Diagnosis of Congenital Heart Disease Using ECG Signal Processing Open
Congenital heart disease (CHD) represents a multifaceted medical condition that requires early detection and diagnosis for effective management, given its diverse presentations and subtle symptoms that manifest from birth. This research ar…
View article: Solving the Generalized Traveling Salesman Problem Using Sequential Constructive Crossover Operator in Genetic Algorithm
Solving the Generalized Traveling Salesman Problem Using Sequential Constructive Crossover Operator in Genetic Algorithm Open
View article: MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator
MoMo: Mouse-Based Motion Planning for Optimized Grasping to Declutter Objects Using a Mobile Robotic Manipulator Open
The aim of this study is to develop a cost-effective and efficient mobile robotic manipulator designed for decluttering objects in both domestic and industrial settings. To accomplish this objective, we implemented a deep learning approach…
View article: Asynchronous Federated Learning for Improved Cardiovascular Disease Prediction Using Artificial Intelligence
Asynchronous Federated Learning for Improved Cardiovascular Disease Prediction Using Artificial Intelligence Open
Healthcare professionals consider predicting heart disease an essential task and deep learning has proven to be a promising approach for achieving this goal. This research paper introduces a novel method called the asynchronous federated d…
View article: Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning
Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning Open
Skin cancer represents one of the most lethal and prevalent types of cancer observed in the human population. When diagnosed in its early stages, melanoma, a form of skin cancer, can be effectively treated and cured. Machine learning algor…