THE INFLUENCE OF ISLAMIC ARCHITECTURE ON EUROPEAN DESIGN
Islamic architecture's impact on European design is a manifestation of centuries of cultural interaction, commerce, and conquest. Islamic architectural forms, including domes, arches, geometric patterns, and calligraphy, were introduced into European forms through contact in Spain, Sicily, and the Crusades. This research examines how Islamic archit...
By Nodir Karimov, Maqsad Maytakubov, Janjayxan Darmenov, Habibakhon Mamadalieva, Farrux Akchayev, Ilhom Karimov, Gullola Kurbanova
CYBERCRIME VULNERABILITY AMONG OLDER ADULTS IN MALAYSIA IN THE CONTEXT OF DIGITAL DECEPTION
This study explores the growing phenomenon of cybercrime targeting older adult individuals in Malaysia, a demographic increasingly susceptible due to factors such as limited digital literacy, social isolation, and perceived financial stability. Drawing upon Routine Activity Theory and Social Engineering Theory, the research investigates the situati...
By Kian-Lam Tan, Jayaeswari Sangaralingam, Lau Pei Mey, Premalatha Karupiah, Chen-Kim Lim
THE USE OF 3D SCANNING AND GIS TOOLS FOR THE DIGITAL PRESERVATION OF CENTRAL ASIAN ARCHITECTURAL HERITAGE
The architectural landmarks of Central Asia are a stunning reminiscence of the cultural and historical amalgamation that took place over the Silk Road. The regions of Central Asia face an unparalleled risk of climate change, urban decay, and worse neglecting conservation attempts. New methodologies of preservation, driven by digital techniques, hav...
By Nodira Makhkamova, Khamdam Matyakubov, Shahzod Rakhmonov, Uzokova Shakhnoza, Mehrangiz Hojiyeva, Sherzod Rakhimov, Oybek Rakhimov
LOW-COST REMOTELY-OPERATED VEHICLE NAVIGATION WITH GPS AND RF LORA INTEGRATION
In recent decades, remote-controlled vehicles (ROVs) have attracted significant attention because of their potential applications in healthcare, medicine, agriculture, and civilian information. In this article, we investigate the development of low-cost mobile robots equipped with a global positioning system (GPS). GPS-assisted robot is used to pro...
By Huu Khoa Tran, Viet Thang Le, Thanh Trang Tran, Van Dung Nguyen
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
ENHANCING CONSTRUCTION PROJECT MANAGER SELECTION WITH EMOTIONAL INTELLIGENCE ASSESSMENT
Construction project managers have traditionally been chosen based on technical competence and experience, and little emphasis has been placed on emotional intelligence (EI), which plays an important part in the management of high-pressure environments, stakeholder relationships and conflict. The paper builds a contextual EI testing instrument base...
By Mohd Nasrun bin Mohd Nawi, Norhidayah Tamrin, Abdul Ghafur Hanafi, Mohd Faizal Omar, Mohd Kamarul Irwan Abdul Rahim, Faizatul Akmar Abdul Nifa
FRAGMENTATION-ENABLED VM MIGRATION AND ENHANCED DATA SEARCHING IN BIG DATA SERVER ENVIRONMENT
The proposed research paper suggests a hybrid system to improve speed and data extraction in a large data server setup, but the focus will be on how to maximize the use of resources and provide actionable information on the unstructured data. The architecture also incorporates fragmentation-enabled virtual machine (VM) migration and high-end data s...
By G.S. Manjula, T. Meyyappan
CYBER-PHYSICAL MICROGRID MANAGEMENT USING EXPLAINABLE AI FOR HIGH RENEWABLE ENERGY PENETRATION
The evolution of traditional microgrids to integrate distributed renewable energy sources, such as solar and wind, has transformed them into complex cyber-physical systems (CPSs). While this enhances sustainability, it introduces challenges related to intermittency, uncertainty, and real-time operational decision-making. A major concern is the reli...
By Anjali Krushna Kadao, Sanjay Kumar
ENHANCING MACHINE LEARNING CLASSIFIERS WITH GLOBALBESTPSO FOR CLASSIFYING BANK CUSTOMERS
The innovation of Machine Learning (ML) techniques is evolving from basic techniques to optimized techniques, considerably improving the performance of prediction models. In the proposed work, the study primarily explores fundamental ML classification methods to classify banking customers based on their credit information. The classification of cus...
By Sufaira Shamsudeen, K. Ranjith Singh
ACCURACY ANALYSIS WITH ZYCOTHERM ADDITIVE TO IMPROVE THE PHYSICAL-MECHANICAL PROPERTIES OF THE ASPHALT LAYER IN CLAYEY SOILS
This research examines how asphalt mixtures that are modified with Zycotherm can help the mixtures have an enhanced resistance to damage caused by moisture which has not been well researched in previous studies. Hydraulic deterioration of asphalt and in particular the clay soils contribute greatly to the strength and lifespan of the road surfaces. ...
By Jeremy Mel Garcia Bazan, Manuel Alejandro Torres Arroyo, Neicer Campos Vasquez, Abel Carmona Arteaga