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
ROBOTIC PROCESS AUTOMATION IN SAP ERP: ENHANCING FINANCIAL TRANSACTION RECONCILIATION AND COMPLIANCE MONITORING
Within SAP ERP systems, large-scale enterprise environments grapple with financial transaction reconciliation along with compliance monitoring as some of the most intricate and error-prone processes. This research examines automating reconciliation processes augmented with real-time compliance monitoring through the integration of RPA into SAP S/4 ...
By Nagendra Harish Jamithireddy
EFFECT OF WALL GEOMETRY AND RUBBER INCLUSION ON THE BLAST PERFORMANCE OF STRUCTURAL CONCRETE BARRIERS
This study presents an advanced nonlinear numerical analysis using ABAQUS to assess the blast resistance of curved rubber-reinforced concrete (RRC) barrier walls. Four types of concrete, normal concrete (NC), and rubberized concretes with 10%, 30%, and 50% rubber particle volume fractions (RC10, RC30, RC50) were modeled and evaluated under blast lo...
By Islam Ali Mahmoud, Ashraf A. A. Beshr, Ahmed E. Sedawy
INTEGRATING INDUSTRIE 4.0 AND MANAGEMENT INFORMATION SYSTEMS FOR IMPROVED DECISION-MAKING EFFECTIVENESS IN MODERN ORGANIZATIONS
Integration of Industrie 4.0 technologies with the Management Information Systems (MIS) has become a vital approach to improving effectiveness of the decision-making process in modern organizations. Cyber physical systems, the internet of things (IoT), big data, and artificial intelligence (AI) are the tools for companies of Industrie 4.0, which me...
By C. Rajkumar, Gajraj Singh, Arun Khatri, Zokir Sodikov, Chaitanya Niphadkar, Tanima Tarafdar, Baratov Khakimbek Abdufattokhovich, K. Sathishkumar
THE FACULTYMAX MODEL FOR ENHANCING FACULTY PERFORMANCE AND ACADEMIC EXCELLENCE
Academic excellence is highly valued by faculty performance. The conventional faculty review systems tend to fail to give a holistic evaluation of faculty input in teaching, research, and service. FacultyMax Model is a multidimensional framework presented in this paper to improve the performance of the faculty based on the data analysis, incessant ...
By Abdusamiev Dilmurod Abdugani Ugli, Mamajonov Dilshodbek Adxamovich, Ortikov Elyor Abdumajidovich, Bekmirzayev Mirjalol Xusanboy Ugli, Abdullayeva Shakhnoza Anvarovna
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