M. Shamim Hossain
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View article: Solar and battery-oriented grid connected microgrid for peak and off peak hour operation
Solar and battery-oriented grid connected microgrid for peak and off peak hour operation Open
View article: Immersive Ink-and-Wash Landscape Design in Multimedia for Art Therapy
Immersive Ink-and-Wash Landscape Design in Multimedia for Art Therapy Open
This study integrates traditional Chinese ink-and-wash painting with multimedia technology to create immersive ink-and-wash landscape animations. The study explores the psychological intervention effects of these animations on individuals …
View article: Bioinformation metaverse: Current status, challenges, and future research themes
Bioinformation metaverse: Current status, challenges, and future research themes Open
The bioinformation metaverse proposed in this paper is founded on bioinformatics, which takes the big data of biology to collect, filter, display the visual, calculate, merge, simulate, and optimize the big biology problem during the…
View article: EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics Open
Sustainable agriculture plays a crucial role in ensuring world food security for consumers. A critical challenge faced by sustainable precision agriculture is weed growth, as weeds compete for essential resources with crops, such as water,…
View article: Revolutionizing facial image retrieval: Multi-block and mean based local binary patterns with sign and magnitude analysis
Revolutionizing facial image retrieval: Multi-block and mean based local binary patterns with sign and magnitude analysis Open
Robust and accurate approaches are in high demand in the field of facial image retrieval systems. The current methods are not as resilient overall since they mostly rely on sign information within small 3 × 3 or 5 × 5 pixel windows. We pro…
View article: Multiagent deep reinforcement learning based Energy efficient resource management scheme for RIS assisted D2D users in 6G-aided smart cities environment
Multiagent deep reinforcement learning based Energy efficient resource management scheme for RIS assisted D2D users in 6G-aided smart cities environment Open
Device-to-device communication (D2D-C) is one of the promising technologies for the sixth-generation (6G) environment. This is because it enhances end-user throughput, energy efficiency (EE), and the network’s quality of service (QoS) even…
View article: Hybrid Quantum-Classical Machine Learning for Energy-Efficient Electric Bus Charging Optimization
Hybrid Quantum-Classical Machine Learning for Energy-Efficient Electric Bus Charging Optimization Open
View article: Derivative Free and Dispatch Algorithm-Based Optimization and Power System Assessment of a Biomass-PV-Hydrogen Storage-Grid Hybrid Renewable Microgrid for Agricultural Applications
Derivative Free and Dispatch Algorithm-Based Optimization and Power System Assessment of a Biomass-PV-Hydrogen Storage-Grid Hybrid Renewable Microgrid for Agricultural Applications Open
View article: Evaluating Large Language Models with Enterprise Benchmarks
Evaluating Large Language Models with Enterprise Benchmarks Open
View article: A blockchain-based secure path planning in UAVs communication network
A blockchain-based secure path planning in UAVs communication network Open
Unmanned aerial vehicles (UAVs) are one of the most popular and effective systems in various industrial applications such as surveillance, security, and infrastructure inspection. It is gradually becoming an essential part of navigation as…
View article: ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification Open
Privacy-preserving and secure data sharing are critical for medical image analysis while maintaining accuracy and minimizing computational overhead are also crucial. Applying existing deep neural networks (DNNs) to encrypted medical data i…
View article: Enterprise Benchmarks for Large Language Model Evaluation
Enterprise Benchmarks for Large Language Model Evaluation Open
The advancement of large language models (LLMs) has led to a greater challenge of having a rigorous and systematic evaluation of complex tasks performed, especially in enterprise applications. Therefore, LLMs need to be able to benchmark e…
View article: TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment
TL-ABKS: Traceable and lightweight attribute-based keyword search in edge–cloud assisted IoT environment Open
Edge–cloud coordination offers the chance to mitigate the enormous storage and processing load brought on by a massive increase in traffic at the network’s edge. Though this paradigm has benefits on a large scale, outsourcing the sensitive…
View article: An effective Federated Learning system for Industrial IoT data streaming
An effective Federated Learning system for Industrial IoT data streaming Open
Due to its outstanding privacy-related characteristics, Federated Learning (FL) has recently become a popular solution for the IIoT’s data privacy and scalability issues. However, more research is needed to determine how unique streaming d…
View article: Harnessing Federated Generative Learning for Green and Sustainable Internet of Things
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Open
The rapid proliferation of devices in the Internet of Things (IoT) has ushered in a transformative era of data-driven connectivity across various domains. However, this exponential growth has raised pressing concerns about environmental su…
View article: DBGAN: Dual Branch Generative Adversarial Network for Multi-Modal MRI Translation
DBGAN: Dual Branch Generative Adversarial Network for Multi-Modal MRI Translation Open
Existing magnetic resonance imaging translation models rely on generative adversarial networks, primarily employing simple convolutional neural networks. Unfortunately, these networks struggle to capture global representations and contextu…
View article: Semi-supervised Federated Learning for Digital Twin 6G-enabled IIoT: A Bayesian estimated approach
Semi-supervised Federated Learning for Digital Twin 6G-enabled IIoT: A Bayesian estimated approach Open
View article: Siamese Neural Networks Method for Semantic Requirements Similarity Detection
Siamese Neural Networks Method for Semantic Requirements Similarity Detection Open
Detecting semantic similarity between textual requirements is a crucial task for various natural language processing (NLP)-based requirements engineering (RE) applications. It is also challenging due to the nature of these requirements, wh…
View article: SEPCVN: Secure and Efficient Protocol for Cloud Vehicular Networking
SEPCVN: Secure and Efficient Protocol for Cloud Vehicular Networking Open
Cloud vehicular networking is a relatively new inter-vehicle communication paradigm. The ability of cloud vehicular networking to address critical safety issues in road traffic is highly rated by operators. This study examines cloud vehicu…
View article: Designing High-Performance Identity-Based Quantum Signature Protocol With Strong Security
Designing High-Performance Identity-Based Quantum Signature Protocol With Strong Security Open
Due to the rapid advancement of quantum computers, there has been a furious race for quantum technologies in academia and industry. Quantum cryptography is an important tool for achieving security services during quantum communication. Des…
View article: Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection
Generative Model-Driven Synthetic Training Image Generation: An Approach to Cognition in Rail Defect Detection Open
Recent advancements in cognitive computing, with the integration of deep learning techniques, have facilitated the development of intelligent cognitive systems (ICS). This is particularly beneficial in the context of rail defect detection,…
View article: Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT Open
The exponential proliferation of wearable medical apparatus and healthcare information within the framework of the Internet of Medical Things (IoMT) introduces supplementary complexities pertaining to the elevated Quality of Service (QoS) …
View article: Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images
Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images Open
Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and patho…
View article: An Intelligent Healthcare System Using IoT in Wireless Sensor Network
An Intelligent Healthcare System Using IoT in Wireless Sensor Network Open
The Internet of Things (IoT) uses wireless networks without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental factors. There are a variety of WSN uses, and some well-known applicatio…
View article: A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection
A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection Open
Early illness detection enables medical professionals to deliver the best care and increases the likelihood of a full recovery. In this work, we show that computer-aided design (CAD) systems are capable of using chest X-ray (CXR) medical i…
View article: Advances of machine learning in IoT-cloud for healthcare
Advances of machine learning in IoT-cloud for healthcare Open
View article: Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism
Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism Open
The current pandemic has necessitated rapid and automatic detection of coronavirus disease (COVID-19) infections. Various artificial intelligence functionalities coupled with biomedical images can be utilized to efficiently detect these in…
View article: IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database
IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database Open
In recent years, the healthcare system, along with the technology that surrounds it, has become a sector in much need of development. It has already improved in a wide range of areas thanks to significant and continuous research into the p…
View article: Detection of COVID‐19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network
Detection of COVID‐19 Case from Chest CT Images Using Deformable Deep Convolutional Neural Network Open
The infectious coronavirus disease (COVID‐19) has become a great threat to global human health. Timely and rapid detection of COVID‐19 cases is very crucial to control its spreading through isolation measures as well as for proper treatmen…
View article: Prediction of Fruit Maturity, Quality, and Its Life Using Deep Learning Algorithms
Prediction of Fruit Maturity, Quality, and Its Life Using Deep Learning Algorithms Open
Fruit that has reached maturity is ready to be harvested. The prediction of fruit maturity and quality is important not only for farmers or the food industry but also for small retail stores and supermarkets where fruits are sold and purch…