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

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

Diagnosing critical conditions like Acute Liver Failure (ALF), Methanol Toxicity (MT), Alcohol Poisoning (AP), and Diabetic Ketoacidosis (DKA) is difficult due to similar symptoms and complex interdependent metabolism, often resulting in delayed and incorrect diagnoses in historic clinical practice. We present a hybrid machine learning framework in...

By S. Ramadoss, A. Kumaravel

The EduGrowth model will maximize student success and academic achievement through a combination of individualized learning approaches, student service, and student data-based decision-making. The paper discusses the main aspects of the model and its implementation in learning institutions. It emphasizes the need to customize learning strategies ac...

By Najmitdinov Akhadkhon Khamitdkhanovich, Ibragimov Ulmas Rakhmanovich, Azizov Azizbek Sabitkhanovich, Dadajon Dadabayev Rustamovich, Abdumutalliev Abdulakhad Abdusamad ugli

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

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 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

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

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

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