The Timurid period (1370–1507) was a foundational age in the history of Central Asian monumental architecture, an age that was marked by outstanding architectural accomplishment and the intersection of Persian, Mongol, and Islamic artistic cultures. This research examines the historical context, cultural significance, and innovative strategie...

By Nodira Nurullayeva, Abdurahim Mannonov, Nodira Babadjanova, Nasiba Isakhojaeva, Maqsad Maytakubov, Gulzoda Tashmatova, Khikmatoy Madikhanova

Due to the variable resource availability and diverse user needs, efficient task scheduling in cloud computing has become increasingly important. This study introduces GA-PSO-Min, a novel approach that synergistically combines genetic algorithms (GA), particle swarm optimization (PSO), and Min-Min strategy to improve scheduling efficiency in cloud ...

By Vahid Mokhtari, Nasser Mikaeilvand, Abbas Mirzaei, Babak Nouri-moghaddam, Sajjad Jahanbakhsh Gudakahriz

The recent advancement in e-learning systems has highlighted the need for more tailored and effective methods of assessment. The e-learning system has become increasingly common in society; however, it comes with its own unique challenges. This study explores the development of an adaptive testing framework implemented in Python, utilizing algorith...

By Ankita Sappa

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

Objective: Manual dexterity is the capacity to move the fingers and hands in a coordinated way to grasp and manipulate things. It depends on the interaction of musculoskeletal and neurological systems to make precise and intentional motions. The study's main goal is to compare the traditional Nine Hole Peg Test with a stopwatch with the dmS-NHPT wi...

By D. Mythili, K. Narayanasamy, V. Balchandar, K. Kotteeswaran, S. Kalpana

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 paper introduces a strategic management model called the EDU-OPT Model, which will help to improve the resilience of the operations of educational organizations and their financial sustainability, especially in a developing economy like Uzbekistan. The model utilizes the concepts of the Dynamic Stochastic General Equilibrium (DSGE) modeling whi...

By Sardorbek Isroilov, Kodirov Zokhid Zokirkhanovich, Akbarov Chingiz Adkhamjanovich, Sobirjonov Khumoyun Boburjon Ugli, Khusainov Ilyos Jamoliddin ugli

Sixth generation (6G) communication networks are anticipated to facilitate the achievement of ultra-low latency, massive device connections, intelligent automation, and high-security in the end-to-end connectivity to accommodate new applications, including autonomous systems, immersive communications, and massive infrastructures of cyber-physical u...

By A. Mummoorthy, M. Rajeswari, K.S. Krishnapriya, S. Krithika, S. Suganya, Gafur Namazov, M. Nalini

The rapid advancement of immersive technologies has opened new possibilities for enhancing physics education through virtual learning environments. This study presents the design, implementation, and evaluation of an AR/VR-based Simple Pendulum virtual laboratory developed using the Unity platform to support Outcome-Based Education (OBE) under the ...

By Alex Mathew, K. Martin Sagayam, J. Samson Immanuel, P. Esther Jebarani

Sentiment analysis (SA) is important in comprehending the opinions and online discussions of people in different languages, particularly in high-resource and low-resource languages. In the present paper, a new model of transfer deep learning is presented, which incorporates cross-lingual embeddings in an attempt to boost sentiment analysis in both ...

By Jayaprakash Vattikundala, M. Siva Ganga Prasad