Md Gapar Md Johar
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View article: Development of fine-tuned hybrid gradient boosting decision tree models to reliably predict heat capacity of liquid siloxanes
Development of fine-tuned hybrid gradient boosting decision tree models to reliably predict heat capacity of liquid siloxanes Open
Accurate prediction of thermophysical properties is essential for the design and optimization of modern energy and industrial systems. Among these properties, the heat capacity of liquid siloxanes plays a critical role in thermal regulatio…
View article: Application of Attention-Driven Semi-supervised Medical Image Segmentation Model in Cardiac Image Segmentation
Application of Attention-Driven Semi-supervised Medical Image Segmentation Model in Cardiac Image Segmentation Open
Obtaining many labeled data is hard since annotating high-quality medical photos takes time and effort. When annotated data is rare, semi-supervised learning techniques which include large amounts of unlabeled data with a small number of l…
View article: The Computer Science VR Revolution (2000-2025): Virtual Reality Is Rewriting The Rules of Computer Science Education
The Computer Science VR Revolution (2000-2025): Virtual Reality Is Rewriting The Rules of Computer Science Education Open
This study examined the development of virtual reality (VR) technology in computer science education over the past 25 years. As educational institutions increasingly adopt VR tools to teach programming concepts, understanding practical a…
View article: Exploiting Gaussian based effective receptive fields for object detection
Exploiting Gaussian based effective receptive fields for object detection Open
The effective receptive field (ERF) is a crucial concept in object detection, as it captures rich semantic information about the target, including its position and class. Existing methods typically associate the ERF with the depth, size, a…
View article: Exploiting a Deformable and Dilated Feature Fusion Module for Object Detection
Exploiting a Deformable and Dilated Feature Fusion Module for Object Detection Open
We propose the Deformable and Dilated Feature Fusion Module (D2FM) in this paper to enhance the adaptability and flexibility of feature extraction in object detection tasks. Unlike traditional convolutions and Deformable Convolutional Netw…
View article: The relationship among psychological factors, teacher factors, and online learning effectiveness: The mediating role of student engagement
The relationship among psychological factors, teacher factors, and online learning effectiveness: The mediating role of student engagement Open
The effectiveness of online learning serves as a critical benchmark for evaluating the quality of online course learning. However, the factors influencing online learning effectiveness are multifaceted and complex. Drawing on existing lite…
View article: Software Defined Radio Platform and Application Analysis
Software Defined Radio Platform and Application Analysis Open
This research first introduces the basic concepts and development history of software-defined radio. Secondly, it specifically describes several structures of software-defined radio technology and makes detailed comparisons. Meanwhile, it …
View article: A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions
A comprehensive review of machine learning for heart disease prediction: challenges, trends, ethical considerations, and future directions Open
This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As cardiovascular diseases (CVDs) are the lead…
View article: Visualization analysis of the impact of corporate social responsibility on corporate competitiveness based on Citespace
Visualization analysis of the impact of corporate social responsibility on corporate competitiveness based on Citespace Open
The purpose of the study is to analyze research hotspots and trends regarding the impact of corporate social responsibility (CSR) on competitiveness, and to suggest recommendations for businesses and governments. The methodology of the stu…
View article: Design of Channel Estimation and Channel Equalization Scheme for Massive MIMO-OFDM Communication System
Design of Channel Estimation and Channel Equalization Scheme for Massive MIMO-OFDM Communication System Open
The combination of massive MIMO (massive multiple input multiple output) technology and OFDM (orthogonal frequency division multiplexing) technology has become one of the key technologies in modern wireless communication systems. With the …
View article: Research on the Impact of Perceived Corporate Social Responsibility on Organizational Competitiveness
Research on the Impact of Perceived Corporate Social Responsibility on Organizational Competitiveness Open
This research explores the impact of Corporate Social Responsibility (CSR) on organizational competitiveness, with a particular focus on the three dimensions of environmental responsibility, economic responsibility, and social responsibili…
View article: Design and Research of Channel Estimation for OFDM Systems Based on BEM
Design and Research of Channel Estimation for OFDM Systems Based on BEM Open
Orthogonal Frequency Division Multiplexing (OFDM) is extensively employed due to its advantages in countering channel perturbations, such as multipath fading and frequency selective fading. Nevertheless, the intercarrier interference and s…
View article: The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning
The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning Open
This work is to investigate the diagnostic value of a deep learning-based magnetic resonance imaging (MRI) image segmentation (IS) technique for shoulder joint injuries (SJIs) in swimmers. A novel multi-scale feature fusion network (MSFFN)…
View article: Factors affecting individual sports consumption motivation towards sports consumption behavior: A bibliometric analysis
Factors affecting individual sports consumption motivation towards sports consumption behavior: A bibliometric analysis Open
The purpose of this research is to present a bibliometric analysis of the literature on the ways in which the motivations of individual sports consumers impact the creation of sports infrastructure and the creation of sports-related policy…
View article: Study on the Binary Resistive Modulation technique of the PLCC Technology in the Streetlamp Monitoring System
Study on the Binary Resistive Modulation technique of the PLCC Technology in the Streetlamp Monitoring System Open
As a low-cost, open, and extensively covered communication technology, power line carrier communication (PLCC) technology has been applied to the streetlamp monitoring system to improve management quality. However, existing PLCC technologi…
View article: Application of SF6 Gas Concentration Temperature Compensation Based on Improved PSO-RBF
Application of SF6 Gas Concentration Temperature Compensation Based on Improved PSO-RBF Open
For the temperature drift phenomenon of SF6 gas concentration sensor in high-voltage electrical equipment, the compensation accuracy of the sensor is improved by establishing the temperature compensation model of gas concentration sensor w…
View article: Government support, employee structure and organisational digital innovation: Evidence from China
Government support, employee structure and organisational digital innovation: Evidence from China Open
Digital innovation activities are data-driven, and the process of organizational digital innovation is inevitably influenced by their key participants, employees, as well as changes in the social institutional environment. How government s…
View article: Impact of injection pressure on a dual-fuel engine using acetylene gas and microalgae blends of chlorella protothecoides
Impact of injection pressure on a dual-fuel engine using acetylene gas and microalgae blends of chlorella protothecoides Open
The amount of fossil fuel usage in compression ignition (CI) engines is greatly reduced when biodiesel is used. The primary disadvantage of using biodiesel is that, due to its high viscosity, which causes fuels to remain unburned during th…
View article: Baseline model for deep neural networks in resource-constrained environments: an empirical investigation
Baseline model for deep neural networks in resource-constrained environments: an empirical investigation Open
This paper presents an empirical study on advanced Deep Neural Network (DNN) models, with a focus on identifying potential baseline models for efficient deployment in resource-constrained environments (RCE).The systematic evaluation encomp…
View article: Review of Semi-Supervised Medical Image Segmentation based on the U-Net
Review of Semi-Supervised Medical Image Segmentation based on the U-Net Open
Medical image segmentation is a core task in the field of medical image processing. It aims to separate areas of interest such as organs, tissues, and lesions from the background in medical images to facilitate further analysis, diagnosis,…
View article: Efficient Edge Computing: A Survey of High-Throughput Concurrent Processing Strategies for Graph Data
Efficient Edge Computing: A Survey of High-Throughput Concurrent Processing Strategies for Graph Data Open
This paper reviews the strategies for high-throughput concurrent processing of graph data in edge computing environments. As information technology rapidly advances, particularly in areas such as the Internet of Things (IoT), smart cities,…
View article: Deep neural networks optimization for resource-constrained environments: techniques and models
Deep neural networks optimization for resource-constrained environments: techniques and models Open
This paper aims to present a comprehensive review of advanced techniques and models with a specific focus on deep neural network (DNN) for resource-constrained environments (RCE). The paper contributes by highlighting the RCE devices, anal…