BATTERY MANAGEMENT SYSTEM FOR ELECTRIC VEHICLE USING ARTIFICIAL INTELLIGENCE AND IOT TECHNOLOGY
With the rapid advancement in electric vehicle (EV) technology, efficient battery management has become crucial for enhancing performance, safety, and longevity. This research integrates Internet of Things (IoT) and artificial intelligence (AI) technology to provide a revolutionary solution to battery management in electric vehicles. Our suggested ...
By R. Ramya, V. Ramya, J. Jaganpradeep, M. Balamurugan, M. Murugesan
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
AN ADAPTIVE MPC FOR ALTERNATE ARM MODULAR MULTILEVEL CONVERTER PV TIED GRID CONNECTED HVDC TRANSMISSION NETWORK
The Modular Multilevel Converter (MMC) has emerged as the preferred architecture for integrating renewable energy power plants into the grid via undersea HVDC cables and HVDC overhead lines. However, to mitigate the significant power pulsations introduced by the single-phase AC–DC conversion in its arms, the MMC necessitates the use of large ...
By D. Lenine, P. Sai Sampath Kumar, B. Venkatesh Reddy, K. Jagadeesh, P. Sesi Kiran, J. Surya Kumari
OPTIMISING FINANCIAL FORECASTING: THE POWER OF REDUCTION APPROACH
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
AUTOMATED ESSAY EVALUATION SYSTEMS FOR SCIENTIFIC WRITING IN ENGINEERING EDUCATION
Despite the importance of scientific writing for engineering students, the technical discourse poses a significant challenge for learners. The promise of Automated Essay Evaluation (AEE) Systems to provide timely and reliable feedback has enabled greater development of writing instruction through expedited and automated support. This paper examines...
By Izzatbek Rejapov, Abdurahim Mannonov, Gavharxon Saydaliyeva, Gaybullaev Otabek, Sherzod Djabbarov, Dilnoza Ziyoyeva, Ulugbek Eshkuvvatov, Nargiza Mannapova
EVALUATING THE EFFECTIVENESS OF PREDICTION TECHNIQUES FOR CYBERATTACKS: A COMPREHESIVE TAXONOMY
The rising threat of cyberattacks in today's society emphasizes the urgent need for improved methods to both detect and prevent these incidents. This paper focuses on assessing the effectiveness of various techniques for predicting cyberattacks. The DTCF taxonomy was proposed for predicting these attacks, considering datasets, techniques, challenge...
By Azhar F. Al-zubidi, Alaa Kadhim Farhan, Abeer Alsadoon
PYTHON-DRIVEN ADAPTIVE TESTING ALGORITHMS FOR PERSONALIZED ASSESSMENT IN E-LEARNING PLATFORMS
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
RETRIEVAL- AUGMENTED GENERATION TECHNIQUES IN ORACLE APEX IMPROVING CONTEXTUAL RESPONSES IN AI ASSISTANTS
The research focuses on incorporating Retrieval-Augmented Generation (RAG) methods into Oracle APEX to enhance the context, semantics, and accurateness of responses given by AI assistants in enterprise applications. We developed a fully integrated, low-latency RAG system tailored for Oracle’s low-code framework by embedding dense semantic sea...
By Srikanth Reddy Keshireddy
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