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

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

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

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

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

Providing clean and affordable energy for domestic use remains a persistent challenge in hot and arid regions, particularly in off-grid communities. This study presents a geo-environmental analysis of an innovative low-cost solar stove designed using recycled aluminum heat exchangers and copper tubing, pressurized with air to enhance thermal conduc...

By Zainab A Alzarfi, Safaa M. Almudhafar, Israa Jafar, Jameel Al-Naffakh, Basim Almayahi

Careful control of the structural makeup of urban places is necessary to maintain their distinctive character while advancing sustainability. A successful approach to this problem is striking a balance between homogeneity and variability in order to provide an urban landscape that is both coherent and dynamic. In the past, homogeneity—which i...

By Israa Al-Janabi, Sarmad Jawad, Zahraa Ahmed Al-Mammori, Fatin. H ALaaraji, Doaa Hazim Aziz, Ghadeer H Abbas

As healthcare technology advances, there is growing enthusiasm for the Internet of Things (IoT), particularly in the era of baby health. To monitor and enhance baby health through ongoing data gathering efforts and health management features, this article presents a smart crib which integrates with Internet of Things technology. The temperature, mo...

By Sivasangari Ayyappan

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

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