THE ARCHITECTURAL LEGACY OF SAMARKAND AND BUKHARA ALONG THE SILK ROAD
Samarkand and Bukhara, two of the most historically important cities on the Silk Road, have been renowned for centuries for their architectural charm and cultural legacy. This article discusses their architectural development, analyzing how Persian, Turkic, and Islamic traditions influenced their cityscapes. The article emphasizes the application o...
By Ollabergan Allaberganov, Nargiza Mirtalipova, Gulnozakhon Ganieva, Guli Isayeva, Shamsikamar Abatova, Nodira Nurullayeva, Dilfuzakhon Kozokboeva, Mavzuna Mukhiddinova
ENVIRONMENTAL ANALYSIS OF A LOW-COST SOLAR STOVE USING RECYCLED MATERIALS: A CLEAN ENERGY INNOVATION FOR HOT ARID REGIONS
Providing clean and affordable energy for domestic use remains a persistent challenge in hot and arid regions, particularly in off-grid communities. This study presents a geo-environmental analysis of an innovative low-cost solar stove designed using recycled aluminum heat exchangers and copper tubing, pressurized with air to enhance thermal conduc...
By Zainab A Alzarfi, Safaa M. Almudhafar, Israa Jafar, Jameel Al-Naffakh, Basim Almayahi
COMPARATIVE ASSESSMENT OF ENVIRONMENTAL AND CULTURAL FUNCTIONS OF DIFFERENT TYPES OF RESIDENTIAL DEVELOPMENT IN TASHKENT
This paper provides a comparative evaluation of the environmental and cultural roles in residential forms in Tashkent, Uzbekistan, focusing on the conflict between the traditional low-density "Mahalla" residential areas and modern high-density buildings. As Tashkent rapidly urbanizes vertically, assessing the trade-offs between social cohesion and ...
By Tatiana Kharitonova, Ksenia Merekalova, Alexander Tikhonov, Shavkat Sharipov, Dilfuza Shabbazova, Samidullo Elmurodov, Munisa Bekmukhamedova, Ulugbek Eshqarayev
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