ANALYSIS OF SAMARKAND’S REGISTAN SQUARE AS A MASTERPIECE OF ISLAMIC ARCHITECTURE
Samarkand's Registan Square is among the greatest Islamic architectural achievements, symbolizing the architectural and cultural victory of the Timurid dynasty. The Registan Square, being the architectural and cultural hub of Samarkand, consists of three colossal madrasahs of Ulugh Beg, Sher-Dor, and Tilya-Kori symbolizing the splendor of beauty an...
By Nodira Nurullayeva, Dadaxon Abdullayev, Dilnoza Kulboyeva, Abdurahim Mannonov, Gulbahor Eshbekova, Kamola Fuzailova, Odiljon Boynazarov
IOT POWERED SMART CRADLE FOR INFANT CARE AND VACCINATION MONITORING SYSTEM
As healthcare technology advances, there is growing enthusiasm for the Internet of Things (IoT), particularly in the era of baby health. To monitor and enhance baby health through ongoing data gathering efforts and health management features, this article presents a smart crib which integrates with Internet of Things technology. The temperature, mo...
By Sivasangari Ayyappan
AUTOMATED ESSAY EVALUATION SYSTEMS FOR SCIENTIFIC WRITING IN ENGINEERING EDUCATION
Despite the importance of scientific writing for engineering students, the technical discourse poses a significant challenge for learners. The promise of Automated Essay Evaluation (AEE) Systems to provide timely and reliable feedback has enabled greater development of writing instruction through expedited and automated support. This paper examines...
By Izzatbek Rejapov, Abdurahim Mannonov, Gavharxon Saydaliyeva, Gaybullaev Otabek, Sherzod Djabbarov, Dilnoza Ziyoyeva, Ulugbek Eshkuvvatov, Nargiza Mannapova
PHILOLOGICAL METHODS IN ANALYZING NON-STANDARD VARIANTS OF LATIN IN MEDIEVAL AND RENAISSANCE MANUSCRIPTS
This research illustrates the use of philological analytical strategies to trace the Latin variants in Middle Ages and early Renaissance manuscripts. By concentrating on the variants, the investigation tries to find out how Latin changed during the period with the help of linguistic forms of the non, conformist which differ from the classical norms...
By Dinora Ibodullayeva, Nafosat Urokova, Nasiba Sabirova, Otabek Fayzulloev, Nazira Kurbanova, Qahramon Toxsanov, Zarnigor Sobirova, Nigina Aliboyeva
EDGE EMPOWERED DIGITAL TWIN ARCHITECTURE FOR REAL-TIME STRUCTURAL HEALTH MONITORING OF SMART BRIDGES
Urban infrastructure, especially smart bridges, is growing rapidly, requiring effective solutions to ensure structural integrity. Conventional Structural Health Monitoring (SHM) systems have limitations in scalability, speed, and accuracy. This paper presents a new edge-enabled digital twin platform for real-time SHM of smart bridges, combining IoT...
By Nidhi Mishra, Aakansha Soy
BLOCKCHAIN SECURED SUPPLY CHAIN TRACEABILITY SYSTEM FOR PHARMACEUTICAL MANUFACTURING USING IOT AND CLOUD
This paper outlines the design and development of a blockchain-secured pharmaceutical supply chain traceability system that uses IoT and cloud computing to overcome the major problems in pharmaceutical manufacturing, including counterfeiting, fraud, and regulatory compliance. The system consists of IoT equipment, such as RFID tags, environmental se...
By Sapna Bawankar, Roohee Khan, Sindhusaranya Balraj
DATA DRIVEN STRATEGIC AND FINANCIAL MANAGEMENT FOR ENHANCING COMPETITIVE ADVANTAGE IN SCIENCE AND TECHNOLOGY-BASED SMES
This paper discusses how data-based strategic and financial management can contribute to the competitive advantage of science and technology-based Small and Medium-sized Enterprises (SMEs). SMEs are challenged to use data to make better business decisions in an ever-dynamic and technology-driven market. This research combines data analytics into a ...
By Ravinder Sharma, Shyam Maurya
ENHANCED U-NET ARCHITECTURE METHOD FOR SEGMENTATION OF BRAIN TUMOR FROM MRI IMAGES
Proper brain tumor segmentation is of great importance in the diagnosis and treatment planning. In this paper, the author presents an EfficientNet-modified U-Net-based system to segment the glioma in the pre-operative MRI scans using the BraTS 2018 dataset. This data consists of four types of MRI (T1, T2, T1Gd, and FLAIR). The model uses the Effici...
By P.A. Monisha, S. Sukumaran, G. Karthikeyan
ARTIFICIAL INTELLIGENCE FOR OPTIMIZING ENERGY SYSTEMS IN SMART GRID ENVIRONMENTS
Smart grids are a major improvement on the conventional electrical grids as they incorporate digital communications, automated control, and sophisticated sensing systems in order to maximize power generation, distribution, and utilization. The paper will examine how Artificial Intelligence (AI) can be used to optimize energy systems in smart grid s...
By Priya Vij, Ashu Nayak
LEVERAGING STRATEGIC MARKETING ANALYTICS TO DRIVE COMPETITIVE ADVANTAGE IN DATA-DRIVEN MARKETS
This research paper examines how the strategic marketing analytics, which combines big data, artificial intelligence (AI), and knowledge management can be used to improve the competitive advantage in data-driven markets. The research tests the effectiveness of AI-driven analytics in enhancing the performance of the market, customer high retention a...
By M. Venith Vijay, Vijayakanthan Selvaraj, R. Muzhumathi, P. Sundara BalaMurugan