NONLINEAR STATIC ANALYSIS OF RCC SPACE FRAME ON SLOPING GROUNDS INCORPORATING SSI
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
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
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
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
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
HOMOGENEITY URBAN CELLULAR AUTOMATA MODEL – FROM REGENERATIVE TO SUSTAINABLE CITIES
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
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
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
POSSIBILITIES FOR MEASURING SMALL DISCHARGES USING A SIMPLE WEIR CONSTRUCTION
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
IOT POWERED SMART CRADLE FOR INFANT CARE AND VACCINATION MONITORING SYSTEM
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