All Academic Research: OJS
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UTILIZING MACHINE LEARNING TO ASSESS DATA COLLECTION METHODS IN MANUFACTURING AND MECHANICAL ENGINEERING
Get PDFThis study explores the significant impact of machine learning (ML) on data collection methods within the manufacturing and mechanical engineering sectors, emphasizing its superiority over traditional techniques. By analyzing data from 20 case studies and 15 industry reports, the research highlights how ML models such as neural networks and support vector machines enhance accuracy, efficiency, and reliability. The findings reveal that ML-based methods excel in handling large datasets, automating processes, and reducing human error, thereby improving data quality and operational performance. Applications in predictive maintenance and quality control demonstrate substantial reductions in equipment downtime and defect detection errors, alongside streamlined workflows and cost savings. Additionally, the study shows that ML can optimize process parameters and identify bottlenecks more effectively, leading to enhanced overall efficiency in industrial operations. These results underscore the transformative potential of ML in optimizing data collection practices, marking a significant advancement in industrial operations and paving the way for more innovative and efficient practices across the sector.
 
INNOVATIVE FOOD WASTE RECYCLING METHODS FOR AGRICULTURAL SUSTAINABILITY: A SYSTEMATIC REVIEW
Get PDFThis systematic review investigates innovative food waste recycling methods and their contributions to agricultural sustainability, focusing on four key approaches: composting, anaerobic digestion, biochar production, and vermiculture. 45 peer-reviewed articles published between 2010 and 2024 were analyzed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review demonstrates that these methods significantly improve soil health, increase crop yields, and reduce environmental impacts. Composting enhances soil structure and moisture retention, while anaerobic digestion offers dual benefits of biogas production and nutrient-rich digestate. Biochar production improves soil aeration, water retention, and carbon sequestration, contributing to long-term climate change mitigation. Vermiculture, a low-cost method for small-scale farmers, produces high-quality compost with enhanced nutrient content. However, scalability and economic feasibility remain key challenges across all methods. Technological advancements, such as automation and machine learning, offer promising solutions to improve the efficiency and scalability of these recycling methods. The review identifies critical gaps in the literature, particularly regarding the long-term impacts of these methods and the economic barriers to their widespread adoption. Future research should focus on addressing these challenges and exploring policy interventions to promote broader implementation, particularly in under-resourced regions. These findings suggest that food waste recycling plays a vital role in achieving a circular agricultural economy and advancing global sustainability goals
The Moderating Effect Of Social Media Influencer On The Relationship Between Social Media Marketing And Consumer Engagement In Retail Fashion Industry In Bangladesh
Get PDFThis study investigates the impact of social media marketing on consumer engagement, focusing on the moderating role of social media influencers within the Bangladeshi fashion retailers. By examining the relationships between various types of social media content—informativeness, electronic word of mouth (eWOM), entertaining content, and trendiness—and consumer engagement, the research posits that social media influencers can amplify or diminish these effects. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze data from a sample of 202 consumers, the study finds that all types of content significantly influence consumer engagement, with influencers enhancing the impact of entertaining and trendy content more than informative and eWOM content. The results align with previous research, confirming the robustness of these relationships and highlighting the need for alignment between influencer characteristics, brand values, and audience preferences. These findings have important implications for policymakers, academics, and industry practitioners. Industry practitioners should prioritize content quality and strategically select influencers to maximize engagement. Despite the study's limitations, including its focus on a specific market and cross-sectional data, it offers a robust framework for enhancing social media marketing effectiveness. Overall, the study underscores the strategic value of combining high-quality content with influencer marketing to drive consumer engagement, offering insights applicable to the Bangladeshi clothing retail industry and beyond
ECONOMIC PROGRESSION THROUGH DECENT WORK ENVIRONMENT IN BANGLADESH PUBLIC ADMINISTRATION
Get PDFDecent work is employment that respects the fundamental rights of the human person as well as the rights of workers in terms of conditions of work safety and remuneration. respect for the physical and mental integrity of the worker in the exercise of his/her employment. Decent work is applied to both the formal and informal sector. It must address all kind of jobs, people and families. Decent work involves opportunities for work that are productive and deliver a fair income, security in the workplace and social protection for families, better prospects for personal development and social integration, freedom for people to express their concerns, organize and participate in the decisions that affect their lives and equality of opportunity and treatment for all women and men. Bringing public service to the access way to citizen comprises many issues like quality service, TQM, cost minimization, timeliness, decent work environment and so forth. By considering the global family, The UN also set sixteen goals and shown guidelines to a great extent. Thus this research intends to link up between UN and Bangladesh guidelines in respect of decent work environment to contribute economic growth by lowering cost, limiting time, and quality service, to provide effective public service efficiently, to find the tools to reach the objective oriented goal fixed by Government of Bangladesh , to achieve sustainable goal shown by UN through guidelines and recommendations, as well as to find a way to achieve sustainable goal and recommendations and last but not the least to ensure inclusive and sustainable economic growth, employment and decent work for all
CHANGING TRENDS OF ENTREPRENEURSHIP DEVELOPMENT IN BANGLADESH; STRATEGIES AND CHALLENGES
Get PDFEntrepreneurship is the study of taking calculative risks in both creating new enterprise and managing as enterprise when already created requiring effective operation. On the other hand, an entrepreneur is a person who starts an enterprise, searches for change and responds to it. Entrepreneurship is the practice of starting new organizations or revitalizing mature organizations, particularly new businesses generally in response to identified opportunities. In this paper, we will learn about the changing entrepreneur industry of Bangladesh and how it developed and what changed it, from the agriculture industry to RMG industries, from Nobel Laureate Dr. Mohammad Yunus to the fresh graduates of today
FOUNDATIONS, THEMES, AND RESEARCH CLUSTERS IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN FINANCE: A BIBLIOMETRIC ANALYSIS
Get PDFThe integration of Artificial Intelligence (AI) and Machine Learning (ML) in the financial sector has brought about a profound transformation in decision-making processes, risk management, and predictive analytics. This comprehensive study aims to systematically identify and analyze the foundational theories, emerging themes, and research clusters within the extensive body of AI and ML finance literature through an in-depth bibliometric analysis. By meticulously examining a vast array of publications spanning over two decades, the study uncovers the intricate evolution of AI and ML applications in finance, mapping out key areas of research and providing valuable insights into future research directions. The findings reveal a significant and accelerating growth in the application of AI and ML across various financial domains, notably in fraud detection, portfolio management, and algorithmic trading, demonstrating the substantial impact and transformative potential of these technologies. This study not only charts the current landscape of AI and ML research in finance but also identifies critical gaps and opportunities for future exploration, underscoring the ongoing evolution and maturation of this dynamic field.
 
A COMPREHENSIVE REVIEW OF RMU DESIGNS AND THEIR APPLICATIONS IN URBAN AND RURAL ELECTRICAL DISTRIBUTION SYSTEMS
Get PDFThis paper provides a comprehensive review of Ring Main Unit (RMU) technology and its applications in urban and rural electrical distribution systems, analyzing a total of 58 relevant articles. The study identifies three primary RMU configurations: compact, extensible, and modular, each tailored to specific operational requirements. Significant technological advancements, particularly in automation and remote monitoring, have enhanced RMU functionality, allowing for real-time fault detection, isolation, and recovery. These advancements have led to improved operational efficiency and network reliability, with smart grid integration further optimizing electricity distribution and fault management. Case studies from urban environments demonstrate the benefits of compact RMUs in space-constrained settings, while rural applications highlight the robustness of RMUs in managing variable load conditions and harsh environmental factors. The review confirms that RMUs significantly improve key performance metrics, including fault detection accuracy, isolation speed, and recovery times, contributing to reduced outage durations and enhanced network stability. This study underscores the critical role of RMU technology in modern electrical distribution systems, providing evidence of substantial progress and emphasizing the importance of tailored solutions to meet the unique challenges of different environments
E-COMMERCE OPERATIONS WITH AI-POWERED DATA WAREHOUSES: A CASE STUDY ON CUSTOMER BEHAVIOR ANALYSIS
Get PDFThis paper presents a comprehensive systematic review of the impact of AI-powered data warehouses on e-commerce operations, with a particular focus on customer behavior analysis and operational efficiency. Leveraging the PRISMA methodology, the study synthesizes findings from 70 research articles spanning multiple countries, including the United States, China, India, the United Kingdom, and Germany. The review highlights the transformative role of AI-driven data warehouses in enabling real-time, predictive analytics, which significantly enhances the ability of e-commerce businesses to understand and respond to customer preferences, optimize inventory management, and implement dynamic pricing strategies. While the benefits of AI integration are substantial, the study also identifies persistent challenges, such as data privacy concerns, high implementation costs, and integration complexities, that may hinder widespread adoption. The paper concludes with recommendations for businesses to strategically approach the implementation of AI-powered data warehouses, emphasizing the need for scalable solutions, robust data governance, and ongoing investment in technology and training. This research underscores the potential of AI-powered data warehouses to drive innovation and growth in the e-commerce sector, while also calling for continued exploration of solutions to address the existing challenges.
 
OPTIMIZING HVAC EFFICIENCY AND RELIABILITY: A REVIEW OF MANAGEMENT STRATEGIES FOR COMMERCIAL AND INDUSTRIAL BUILDINGS
Get PDFThis study presents a comprehensive review of strategies to optimize HVAC systems in commercial and industrial buildings, focusing on enhancing energy efficiency, system reliability, and environmental sustainability. HVAC systems are major energy consumers, contributing significantly to operational costs in large buildings. With increasing energy costs, regulatory pressures, and the push for sustainability, technological advancements and management strategies have emerged to improve HVAC performance. Following PRISMA guidelines, this review analyzed 58 high-quality peer-reviewed studies published between 2010 and 2023. Key findings show that energy management systems (EMS) can reduce energy consumption by up to 30%, while Building Management Systems (BMS) enhance system reliability through centralized control and predictive maintenance. The adoption of eco-friendly refrigerants and energy-efficient designs, such as heat recovery and variable refrigerant flow (VRF) technologies, further lowers energy usage and environmental impact. Additionally, integrating renewable energy sources like solar and geothermal into HVAC systems can reduce energy consumption by as much as 40%. Green building certifications, such as LEED and BREEAM, drive the adoption of optimized HVAC technologies, delivering both environmental and financial benefits. This review underscores the crucial role of HVAC optimization in reducing energy consumption, lowering carbon footprints, and improving the operational performance of buildings, offering valuable insights for building managers, engineers, and policymakers
INTELLIGENT AUTOMATION IN SUPPLY CHAIN OPTIMIZATION
Get PDFIntelligent automation (IA) is transforming supply chain management by integrating advanced technologies such as artificial intelligence (AI), machine learning (ML), robotics, and the Internet of Things (IoT). This paper explores how IA optimizes supply chain processes, enhances operational efficiency, and drives strategic decision-making. By analyzing the impact of intelligent automation on various supply chain functions, including inventory management, logistics, and demand forecasting, this research highlights the critical role of IA in achieving agility and responsiveness in increasingly competitive markets. Additionally, the paper discusses the challenges organizations face in implementing IA solutions and provides insights into best practices for successful integration. The findings underscore the importance of leveraging intelligent automation as a key driver of supply chain optimization in today's digital landscape