Ethno-touristic sites must be conserved to preserve the cultural heritage and historical identity of the people. Documenting these sites is easier with enhanced digital technology, which provides faster and new ways of documenting, conserving, and managing tourism. Digital technology such as 3D scanning, virtual reality (VR), augmented reality (AR)...

By Khayrinisa Yunuskhodjaeva, Umida Almatova, Nodir Karimov, Surayyo Khaydarova, Shakhnoza Jalolova, Akramov Bahodir, Ibragimjan Toshmatov

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 paper will discuss the issues with industrial vision systems in detecting defects, especially in the manufacturing of tyres, where changes in exterior light and distortion will compromise the accuracy of defect detection. The suggested scheme combines Directional Convoluted Ternary Pattern (DCTP) in the extraction of texture features and Distri...

By N.P. Rajeswari, M. Vijay

The research introduces Cloud-SCIM (Supply Chain Integration and Cloud-Based Operations Management to Resilient Smart Manufacturing) model, which aims to solve the problems of the modern manufacturing system. The model leverages cloud computing, IoT, and AI analytics to harmonize supply chain operations, boosting efficiency, flexibility, and resili...

By Lalit Sachdeva, Utkarsh Anand

The problem of brain tumors is a range of different subtypes, which have a variety of clinical forms, and the diagnosis and treatment of tumors is a challenging task. This paper introduces a hybrid deep learning system that combines genomic profiling with MRI image analysis to provide an effective brain tumor subtyping. The framework is initiated b...

By M. Yuvaraja, S. Sureshkumar, J. Dhanasekar, Vilas Namdeo Nitnaware, M. Sowmya, D. Kumar

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