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
ADVANCING DIABETES PREDICTION THROUGH MACHINE LEARNING AND DEEP LEARNING MODELS USING PIMA INDIAN AND CLINICAL-BIOLOGICAL DATA
Diabetes Mellitus is a significant world health and early detection is of paramount significance since it decreases the complications and enables medical intervention in time. The paper is a comparison between the predictive accuracy of the eight Machine Learning classifiers: Logistic Regression, Support Vector Machine (SVM), Decision Tree, Random ...
By Zeeshan Hussain, Suraiya Parveen, Ashif Khan, Ihtiram Raza, Umnah
LANGUAGE OF MINING TECHNOLOGY EVOLUTION AND ITS ROLE IN ADVANCING ENVIRONMENTAL SUSTAINABILITY AND SAFETY STANDARDS
The research paper discusses the history of mining technology and the way it has contributed enormously to the advancement of the degree of environmental sustainability and safety in the mining industry. The paper will discuss the key technological developments in the mining sector, including automation, artificial intelligence, robotization, and e...
By Sobirjon Bazarov, Sardor Norboyev, Ulugbek Kosimov, Yayra Kasimova, Munisabonu Tursunboyeva, Lobar Bakhramova, Matyakubov Maqsad
HEALTHCARE DATA EXCHANGE IN THE ERA OF BLOCKCHAIN AND AI: A SURVEY ON METHODS, CHALLENGES, AND ARCHITECTURES
Background: Interoperability, privacy, and the background of healthcare information are significant issues in the healthcare industry, mainly because of the fragmentation of the data. Conventional solutions are not secure, transparent, and accurate enough to share data effectively. Purpose: The purpose of the study is to examine how blockchain and ...
By K. Deepthika, Dr. I. Bhuvaneshwarri
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
FROM THEORY TO PRACTICE THE COMPREHENSIVE BENEFITS OF INTEGRATING AI IN EFL TEACHING AND HOW IT'S SHAPING THE FUTURE OF LANGUAGE EDUCATION
Artificial Intelligence (AI) software has enormous potential to remain a versatile teaching tool that is of great interest to academicians and educators. This qualitative case study was intending to apply AI in foreign language teaching. It bridged a research gap by examining the potential applications, benefits and drawbacks of this novel method. ...
By Dhina Suresh, S Prasath, M Praneesh, K Sathishkumar, Gulnora Gulyamova, Sayanika Deka Sarma, P Dharmendra Kumar
EDUCATIONAL FOUNDATIONS OF AGRICULTURAL TECHNOLOGIES AND THEIR INFLUENCE ON PRECISION AGRICULTURE AND SUSTAINABILITY PRACTICES
Even though agriculture is now one of the most technologically advanced civilian industries, there is still a big gap between the innovations that are available and how they are actually put into practice, particularly in areas where traditional supervision methods are predominant. This study looks at how farmers' ability to implement precision agr...
By Shoira Bobomuratova, Kurbonalijon Zokirov, Najimiddin Jumakulov, G'ofur Allamuratov, Oybek Ulugbekov, Muhabbat Mullajonova, Avazbek Turdunov
CORPORATE RESOURCE PLANNING SYSTEMS AND THEIR ROLE IN DEVELOPING VALUE CHAIN PERFORMANCE RESEARCH APPLIED IN THE DAIRY INDUSTRY COMPANY
The study explores how Enterprise Resource Planning (ERP) systems can enhance value chain performance in the dairy manufacturing sector. The paper aims to evaluate the role of ERP-based enhancements in integrating processes, improving efficiency, and coordinating resources to create value along the value chain. The study uses an analytical research...
By Khaled Jamal Fadhel
BRIDGING THE GAP BETWEEN KNOWLEDGE MANAGEMENT AND DIGITAL TRANSFORMATION: THE CRITICAL ROLE OF DIGITAL LITERACY, ORGANIZATIONAL CULTURE
This paper explores the connections between knowledge management (KM), digital literacy (DL), organizational culture (OC) and digital transformation (DT). It investigates the role of KM on the usage of DL and OC and how both are interplaying determinants of successful digital change. To examine these relationships, the study conducted a path analys...
By Rehmat Shah, Muhammad Naeem Sarwar, Saba Hanif, Zubair Younas
A ROBUST MACHINE LEARNING-BASED ENSEMBLE LEARNING FRAMEWORK FOR HATE SPEECH DETECTION IN LOW-RESOURCE SOCIAL MEDIA TEXT
The low-resource social media text i.e., Urdu tweets containing hate speech are identified with the help of a machine learning-based ensemble approach. The dataset used for this study consisted of 8,800 tweets and half of them were labeled as Hateful and the other half as No-Hate. In preprocessing, we took into account the features of Urdu normaliz...
By Husnain Saleem, Muhammad Javed, Kiran Hanif, Asad Ullah, Muhammad Usman Ghani, Muhammad Waqas, Muhammad Ali Khan, Sheraz Ali Hassan