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
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
INVESTIGATING THE ROLE OF EMOTIONAL INTELLIGENCE IN ENHANCING CONFLICT RESOLUTION AND TEAM COLLABORATION IN MULTIGENERATIONAL WORKFORCES
The paper explores the importance of emotional intelligence (EI) in conflict-solving and effective teamwork in multigenerational workforces. As the workplace demographics continue to diversify, comprising Baby Boomers, Generation X, Millennials, and Generation Z, it is important to know how EI can help eliminate generational differences, encourage ...
By J. Prateeba Devi, R.S. Lekshmi, V. Sheela Mary, K. Rajamani
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