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

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

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

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

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

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

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

Project and operations management play an important role in enhancing efficiency in the development of large-scale technical systems. Although it is important, the strategic alignment of these fields is under-researched in the high-tech sectors where integration of engineering, procurement, and operations is critical in ensuring that they retain th...

By R. Satish, B. Selvakumar, Dr. G. Aravindhan, M. Radhakrishnan

The 6G wireless networks will be used in autonomous systems, extended reality, digital healthcare, and large-scale cyber-physical infrastructures, making it possible to provide applications they previously did not know to be intelligent and ultra-reliable communication. Nevertheless, 6G networks are quite complicated and heterogeneous, which are ch...

By P. Karunakaran, Ali Bostani, Salomov Gulom, S. Shantha Kumar, V. Manimala, T. Velmurugan, R. Praveenkumar

The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...

By M. Mohamed Musthafa, A. Aafiya Thahaseen, R. Arulmozhi, S. Mohammed Ibrahim, S. Sangeetha, M. Rabiyathul Fathima, M. Gowthami, P. Esaiyazhini