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
FAKE SOCIAL MEDIA ACCOUNT AND DETECTION
Impersonation social media accounts have been a major issue, leading to disinformation, identity thefts, and cyber scams. Rule-based traditional techniques which have been employed for the identification of scam accounts have failed to work because they are unable to cope with the evolving fraud patterns. A machine learning-based Fake ID detection ...
By Rajeswari Mukesh, R. Deeptha, G. Rajalakshmi, P. Santhosh Kumar, S. Yusuf Shafiq Raja, S. Keerthi Raj, G. Manoj
ADVANCING INCLUSIVE EDUCATION FOR CHILDREN WITH SPEECH AND HEARING IMPAIRMENTS THROUGH AI-DRIVEN INTERACTIVE PLATFORM
Inclusive education aims to provide all children, irrespective of their capabilities, with equal opportunities to learn and participate meaningfully. For students who have speech and hearing disabilities, conventional classrooms often act as communication barriers which inhibit their participation and academic advancement. This study focuses on the...
By Akbarbek Allashev, Muyassar Akhmedova, Diyora Karimova, Shakhnoza Khujamberdieva, Sayyora Davidova, Nasiba Bayturaeva, Manzila Khabibova, Dilfuza Abdullayeva
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
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
METAHEURISTIC-DRIVEN HYPERPARAMETER OPTIMIZATION FOR BERT IN SENTIMENT ANALYSIS
Sentiment analysis has come out as an important activity in natural language processing (NLP) applications whose data analysis is in high demand at present in the modern world. The BERT (Bidirectional Encoder Representations from Transformers) algorithm has proved to be extremely efficient when it comes to sentiment analysis tasks, and its potentia...
By Alaa A. El-Demerdash, Nahla B. Abdel- Hamid, Amira Y. Haikal
THE IMPACT OF POLICY INTERVENTIONS ON WUA EFFICIENCY IN BUNDELKHAND: A DEA EVALUATION
Water efficiency in agriculture is a crucial measure of how effectively farmers use their most vital resource. In practical terms, it reveals how much applied water actually nourishes crops versus being lost to evaporation or runoff. In the Bundelkhand region of Uttar Pradesh, India, where water is incredibly scarce, making every drop count is cruc...
By Aakanksha Rawat, Mukul Kulshrestha
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
ROBOTIC PROCESS AUTOMATION IN SAP ERP: ENHANCING FINANCIAL TRANSACTION RECONCILIATION AND COMPLIANCE MONITORING
Within SAP ERP systems, large-scale enterprise environments grapple with financial transaction reconciliation along with compliance monitoring as some of the most intricate and error-prone processes. This research examines automating reconciliation processes augmented with real-time compliance monitoring through the integration of RPA into SAP S/4 ...
By Nagendra Harish Jamithireddy
SERVERLESS DATABASES: FUTURE TRENDS IN CLOUD DATABASE MANAGEMENT AND COST OPTIMIZATION
The cloud data management infrastructure is being transformed by serverless databases because of their operational simplicity, usage-based pricing, and elastic scalability. However, their performance in real-world workloads analysis is still unexplored. This paper presents an in-depth analysis of serverless database systems using simulation-based b...
By Harsha Vardhan Reddy Kavuluri