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
MEDIAN ATTRIBUTE HYBRID CLUSTERED MODEL USING PARTICLE SWARM OPTIMIZATION FOR NETWORK INTRUSION DETECTION
The rapid growth of cloud-based and large-scale network infrastructures has increased the complexity and frequency of cyber-attacks, demanding efficient and scalable intrusion detection systems (IDS). This paper will also attempt to create a better Network Intrusion Detection System (NIDS) by incorporating a Hybrid Median Attribute Clustering model...
By Rajasekhar Kaseebhotla, Raghava Rao, Mallikarjuna Rao
DEEP REINFORCEMENT LEARNING CONTROL OF SWARM UAVS FOR POST DISASTER CIVIL INFRASTRUCTURE ASSESSMENT
Rapid and accurate assessment of civic infrastructure following a natural or artificial disaster is essential to planning emergency response and recovery. This paper introduces a control system based on deep reinforcement learning (DRL) to coordinate unmanned aerial vehicle (UAV) swarms and methodically approach the post-disaster infrastructure ins...
By Moti Ranjan Tandi, Archana Mishra
PERFORMANCE ANALYSIS OF DOWN SYNDROME DETECTION SYSTEM USING ULTRA SOUND FETUS IMAGES AND DEEP LEARNING CLASSIFICATION METHODS
Down Syndrome (DS) is a genetic disorder due to a partial copy of the 21 st chromosome in the fetus, usually detected by invasive techniques like Amniocentesis and Chorionic Villus Sampling (CVS) which have chances of miscarriage. This paper suggests a completely automated and computer-aided method of non-invasive detection of DS by ultrasound fetu...
By V. Gokulakrishnan, S. Selvakumar
IOT USE IN A FARMING AREA TO MANAGE WATER CONVEYANCE
Agriculture is the most advanced civilian profession. However, farmers in India continue to use traditional agricultural supervision approaches, resulting in water failure problems. Currently, Automatic irrigation systems using humidity detectors, rain sensors, and temperature sensors are used for effectively managing water in an agricultural field...
By G.K Monica Nandini
EXPERIMENTAL STUDY ON OPTIMIZING THE FUSED DEPOSITION MODELING PARAMETERS FOR POLYETHYLENE TEREPHTHALATE GLYCOL MATERIAL USING TAGUCHI METHOD
In many different manufacturing techniques, additive manufacturing technologies have proven to be quite useful for developing a prototype model in wide range of applications. In that technique, Fused Deposition Modeling (FDM) is one of the concern favorite methods used in industries, because it can create complex structures at a low cost. FDM...
By M Prasath, P.S Sampath, C Saravanan, R Gokul, J Hari Prakash
ASSESSMENT OF BLACK SPOTS IN URBAN BHOPAL WITH THE AID OF WEIGHTED SEVERITY INDEX AND KERNAL DENSITY ESTIMATION METHODS
One step toward lowering traffic accidents is identifying the locations of road accident hotspots and the appropriate assessment technique. This study evaluated the effectiveness of kernel density estimation (KDE) and the weighted severity index (WSI) in locating blackspots using the ArcGIS tool. Finding out accident severity levels is necessary to...
By Nishant Singh, Sunil Kumar Katiyar
THE IMPACT OF TECHNOLOGY ON LOGISTICS SERVICES IN SAUDI ARABIA
This research strives to explore the impact of technological advancements which have transformed logistics services in Saudi Arabia in line with Vision 2030 goals. It examines key technologies viz. Big Data, Internet of Things (IoT), Blockchain, autonomous vehicles and drones etc. which have enhanced operational efficiency, reduced costs and improv...
By Mohammed Ibrahim Alattas