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 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

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 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

This paper presents a comprehensive investigation into the seismic performance of a G+5 reinforced concrete spaceframe subjected to pushover analysis. The analysis incorporates the critical influence of soil-structure interaction on varying slope inclinations. A nonlinear static pushover method is utilized to examine the lateral loading streng...

By Tushar Golait, Neeraj Tiwari, Manjeet Singh Hora

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

In the current era of data-intensive applications, including OTT services, IoT, and autonomous systems, efficient image compression is indispensable in order to minimize bandwidth consumption while preserving visual quality. Conventional compression techniques frequently fail to satisfactorily balance compression ratios and the preservation of crit...

By K. Subba Reddy, R. Arshiya

Measuring small flow rates often requires expensive equipment and is associated with inherent limitations. In practice, various measuring structures, such as weirs, are commonly constructed at specific locations to facilitate flow measurements. This paper proposes an innovative and low-cost measurement structure made from sewer pipes, incorporating...

By Petar Praštalo, Anica Milanović

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

This study presents a year-long vibration-based structural health monitoring (SHM) of the Swarnamukhi River Bridge and Bhakta Kannappa Sethu Bridge using a MEMS accelerometer integrated with a low-cost microcontroller system. The monthly dynamic response parameters of acceleration, displacement, frequency, and velocity were monitored from June 2024...

By K. Asha Latha, K. Narasimhulu