SMART MUSEUM TECHNOLOGIES AND THEIR ROLE IN PROMOTING TECHNICAL UNDERSTANDING OF INDUSTRIAL HISTORY
New smart museums, integrating technologies like augmented reality (AR), virtual reality (VR), interactive kiosks, Internet of Things (IoT) devices, and AI tools, mark a departure from treating industrial history as a passive archival medium. The incorporation of these technologies allows for a shift from passive learning to actively experiencing h...
By Umidbek Abdalov, Nilufar Rajabova, Rufat Karimov, Zafar Khasanov, Rukiya Ashurbayeva, Mamlakat Xonnazarova, Dilshod Khamidov, Dilfuza Abdullayeva
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
COMBINING TRANSFORMERS AND FUZZY CLUSTERING BASED ON FUZZY FUNCTIONS FOR OPTIMAL UAV LOCALIZATION IN 5G WIRELESS NETWORKS
This paper introduces a new way to use UAVs in the 5G wireless network, based on Fuzzy C-Means (FCM) clustering and Transformer architecture for improved coverage, less energy consumption, and better Quality of Service (QoS). The new method improves user grouping by incorporating fuzzy distance functions into the FCM algorithm and it further trains...
By Sajjad H. Hasan, Mehdi Hamidkhani, Nasseer K. Bachache, Keyvan Mohebbi
IMPLEMENTATION OF LOW POWER MEMRISTOR CONTENT ADDRESSABLE MEMORY USING FINFET
The research environment is promptly looking at the extensive development of memristor devices in industrial applications. Future technology is eagerly waiting for the upcoming developments in memristor-based devices. Memristor regulates the current flow in devices and the amount of previously flowed charges, which are stored as memory in applicati...
By Ancy Joy, Jinsa Kuruvilla
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...
By C. Kavitha, A. Subramani
FEATURE SELECTION METHOD USING HYBRID SWARM WITH IMPROVED FUZZY C-MEANS CLUSTERING IN DATA MINING FOR DISEASE DETECTION
A crucial method for reducing the dimensionality issue in DM (Data Mining) tasks is FS (Feature Selection). Conventional techniques for FS do not scale well in vast spaces. The HPSO-IKM approach has a rather long processing time, so future studies will keep enhancing the technique's stages to reduce the duration of detection. PSO's poor local searc...
By M. Birundha Rani, Dr.A. Subramani
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
AI INTEGRATED LANGUAGE LABS FOR TECHNICAL UNIVERSITIES AND THEIR IMPACT ON ENGLISH PROFICIENCY DEVELOPMENT
In the modern world of education, the use of Artificial Intelligence (AI) in language learning has caused a shift in approach, particularly in AI-enabled technical universities where learning the English language is critical for academic success and employment opportunities worldwide. This paper examines the concepts, design, and consequences of AI...
By Akbarbek Allashev, Mukaddas Akhmedova, Dilnoza Abduvakhabova, Nayira Ibragimova, Zulfizar Yakhshieva, Mukhayyo Kambarova, Muyassar Inomova, Madina Kholova
Q-SAFE QUANTUM AI FOR REAL-TIME WOMEN & CHILD SAFETY
As incidents of gendered violence and child abuse increase, there is a need for intelligent, real-time safety systems that autonomously detect distress and initiate emergency action without user activation. Q-SAFE (Quantum AI for Real-Time Women & Child Safety) is an open-source, multi-modal mobile app, utilizing quantum-enhanced machine learni...
By N. Geetha, K. Janani, P. Mathushri, S. Harini, D. Vasantha Mallika
A SCOPING STUDY ON ENERGY MANAGEMENT SYSTEM IN THE CITY OF HYDERABAD
India is one of the emerging economies attracting many industries for launching their business in its land. In the present scenario of global warming and in the light of environmental awareness, it is an alarming issue. An important point to be observed and highlighted is regarding waste disposal and radiation produced by various industries. Indust...
By B. Neeraja, B.V. Jayanthi, B. Suchitra, Ch. Indira Priyadarsini, Vasantha Lakshmi