DIGITAL TWIN–BASED INTELLIGENT MONITORING OF INDUSTRIAL SYSTEMS USING EXPLAINABLE AI
Industrial systems increasingly rely on Industrial Internet of Things (IIoT) sensors for real-time monitoring and predictive maintenance. However, most existing digital twin–based monitoring solutions depend on static or black-box machine learning models, limiting interpretability, operator trust, and safe deployment in safety-critical enviro...
By R. Kousalya, V. Radhika, C. Thangamani, V. Deepa, Laxmi Basappa Dharmannavar
DIGITAL SUPPLY CHAIN AND PROJECT MANAGEMENT PRACTICES FOR SMART INFRASTRUCTURE AND EPC ENGINEERING PROJECTS
The smart infrastructure construction projects implemented under the Engineering-Procurement-Construction (EPC) model have been growing more complicated with the globalized supply chains, the technology-induced complexity of the components employed, and the increased sustainability and risk management demands. Conventional EPC supply chain and proj...
By Sardorbek Isroilov, Azibaev Akhmadkhon Gulomjon ugli, Abdurakhimova Zulaykho Ikromjon kizi, Rashidkhon Uulu Atabek, Ismoilov Ravshanjon Yakubjon ugli
FRAGMENTATION-ENABLED VM MIGRATION AND ENHANCED DATA SEARCHING IN BIG DATA SERVER ENVIRONMENT
The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...
By G.S. Manjula, T. Meyyappan
THE MODEL OF GREEN ENTREPRENEURSHIP FACTORS ON THE INTERNATIONALIZATION PERFORMANCE OF SMES IN CHINA: A CONCEPTUAL FRAMEWORK
Purpose: The study aims to establish the connection between green entrepreneurship variables, environmental management, green technologies, green commitment of individuals, and the environmentally sustainable workforce, and the performance of internationalization of the SME in China. It further examines the mediating position of eco-...
By Wang Jing Hui, Noor Afzainiza Afendi, Muhamad Ali Imran Bin Kamarudin
DEEP REINFORCEMENT LEARNING CONTROL OF SWARM UAVS FOR POST DISASTER CIVIL INFRASTRUCTURE ASSESSMENT
Rapid and accurate assessment of civic infrastructure following a natural or artificial disaster is essential to planning emergency response and recovery. This paper introduces a control system based on deep reinforcement learning (DRL) to coordinate unmanned aerial vehicle (UAV) swarms and methodically approach the post-disaster infrastructure ins...
By Moti Ranjan Tandi, Archana Mishra
PERFORMANCE ANALYSIS OF DOWN SYNDROME DETECTION SYSTEM USING ULTRA SOUND FETUS IMAGES AND DEEP LEARNING CLASSIFICATION METHODS
Down Syndrome (DS) is a genetic disorder due to a partial copy of the 21 st chromosome in the fetus, usually detected by invasive techniques like Amniocentesis and Chorionic Villus Sampling (CVS) which have chances of miscarriage. This paper suggests a completely automated and computer-aided method of non-invasive detection of DS by ultrasound fetu...
By V. Gokulakrishnan, S. Selvakumar
EXPLORING THE ROLE OF DIGITAL TWINS IN ENHANCING OPERATIONAL EFFICIENCY AND DECISION-MAKING IN INDIAN MANUFACTURING FIRMS
Indian manufacturing companies are progressively implementing Industry 4.0 technologies to enhance the level of operational efficiency and the managerial decision-making process; nevertheless, there is limited empirical evidence of how the adoption of the Digital Twin (DT) affects performance, especially in the emerging economy environment. This re...
By Roohee Khan, Ashu Nayak
MACHINE LEARNING-DRIVEN STRATEGIES FOR CUSTOMER RETENTION AND FINANCIAL IMPROVEMENT
In the telecom sector, which generates vast amounts of data daily due to its extensive client base, retaining present customers is more cost-effective than attaining new ones. Business analysts and CRM specialists must comprehend the reasons behind customer churn and identify behavioral patterns within client data. This study develops a churn forec...
By N. Rakesh, B.A. Mohan, U. Kumaran, G.L. Prakash, Rajakumar Arul, Kalaipriyan Thirugnanasambandam
INNOVATIVE APPROACHES TO CONTROLLING IN AGRIBUSINESS: THE ROLE OF QUALITY MANAGEMENT SYSTEMS IN SUSTAINABLE PRODUCTION PRACTICES
Quality Management Systems (QMS) are increasingly the method of agribusiness addressing consumer demand for quality and transparency. These systems also play a crucial role in ensuring sustainable production, particularly in the face of climate change and regulatory pressures. The need to improve efficiencies in controlling production is becoming i...
By Olena Smihunova, Ihor Bohdaniuk, Yevheniya Polyakova, Artur Yehiozarian
APPLICATION OF GAM MODEL TO PROTECTED AREAS OF THE NORTHWESTERN PART OF CENTRAL SERBIA
The research in this paper refers to the definition and scientific explanation of relevant indicators (indicators and sub-indicators) that effect on the development of geoheritage (Petnička cave, gorge of the river Gradac and Trešnjica, and Taor springs) and their placement on the tourism market. By applying the GAM model, it has been proven...
By Marija Perić, Slobodanka Stankov