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

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

Women's crimes in India are a serious social issue, and new-age solutions to their detection and prevention are essential. The article introduces an analytical model using modern data and geography tools to identify and map cases of violence against women in India. It uses several different types of sources such as police reports, social media and ...

By Aby Rose Varghese, N. V. Chinnaswam

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

Indian manufacturing companies are progressively implementing Industry 4.0 technologies to enhance the level of operational efficiency and the managerial decision-making process; nevertheless, there is limited empirical evidence of how the adoption of the Digital Twin (DT) affects performance, especially in the emerging economy environment. This re...

By Roohee Khan, Ashu Nayak

The Indian startup environment is both volatile and fast-paced, requiring the project management models to be both fast and scalable. Although Agile tools are widely used, most ventures fail to realize the implementation of technical features into business expansion. The crux of the matter is a Hierarchy where a traditional top-down management stru...

By Ashish Kumar Sahu, Shilpi Nishant Tanwani

Uzbekistan is a country in the post-colonial environment of Central Asia, which has undergone a stage of rigid isolationism before passing to the stage of authoritarian modernization. This article examines how social movements have been changing to affect policy change in this particular geopolitical region. However, the traditional position regard...

By Mirkomil Gudalov, Nemat Kushvaktov, Dilrabo Quvvatova, Elvina Azimova, Nafisa Samatova, Aynur Yeshmuratova, Rustamjon Khudayberdiyev, Umida Usmonova

The Modular Multilevel Converter (MMC) has emerged as the preferred architecture for integrating renewable energy power plants into the grid via undersea HVDC cables and HVDC overhead lines. However, to mitigate the significant power pulsations introduced by the single-phase AC–DC conversion in its arms, the MMC necessitates the use of large ...

By D. Lenine, P. Sai Sampath Kumar, B. Venkatesh Reddy, K. Jagadeesh, P. Sesi Kiran, J. Surya Kumari

Given the complexity and multifaceted nature of the financial markets, effective aggregation of financial time series data underscores the optimization of predictive modeling in the finance industry. This research presents an innovative approach to clustering using auto encoders designed to distill informative representations out of S&P 500 fin...

By M. Sravan Kumar Reddy, C. Supraja

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