A BENCHMARK COMPARISON OF SIMPLE CNN, RESNET-50, AND EFFICIENTNET FOR IMAGE CLASSIFICATION
Terrain Type Identification is an essential aspect of environmental monitoring, urban planning, and resource management. This study discusses a comparative investigation of the effectiveness of three Convolutional Neural Network (CNN) architectures Simple CNN, ResNet-50, and the Enhanced Efficient CNN Model which is Efficient Net in training with t...
By V. Sahaya Sakila, R. Sujeetha, S.V. Ramanathan, M. Adhithya Raj, B. Philip Regin
AN EARLY DETECTION OF KAWASAKI DISEASE USING ENHANCED FEATURE SELECTION AND HYBRIDIZATION-BASED CLASSIFICATION APPROACH
Kawasaki disease (KD) is a disease that cause inflammation in blood vessels, impacting kids and causes heart and blood vessel damage. Patients with KD who have medium or big aneurysms, developing coronary dilatation for a minimum of 2 months, are related to the worst late coronary results, which are not widely researched. The primary goal...
By C. Kavitha, A. Subramani
AI-POWERED RECONSTRUCTION OF HISTORICAL ENGINEERING MANUSCRIPTS USING OPTICAL CHARACTER RECOGNITION
Preserving and interpreting historical engineering documents aids in appreciating the nature of scientific reasoning as well as technological advances. Digitization and detailed analysis are highly challenging for many of such documents which are handwritten, eroded and in delicate conditions. This paper presents research on reconstruction of histo...
By Navbakhor Iskandarova, Nargiza Burieva, Abdurahim Mannonov, Adil Kariev, Nodir Karimov, Zumrad Kasimova, Margubakhan Eshnazarova, Sadokat Abidova
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...
IMPLEMENTING UIPATH IN SAP ERP FOR ACCOUNTS RECEIVABLE MANAGEMENT: STRATEGIES AND OUTCOMES
Accounts Receivable (AR) management is fundamental to the financial activities of an enterprise, as it impacts liquidity, working capital optimization, and exposure to credit risk. Also, while SAP ERP incorporates a basic shell for AR processes, it heavily depends on batch-driven systems, manual validation loops, and fragmented exception handling f...
By Naren Swamy Jamithireddy
A COMPREHENSIVE REVIEW OF CLASSIFICATION TECHNIQUES FOR ENDOMETRIOSIS DISEASE IDENTIFICATION
Medical disorders in women can often be the underlying cause of various symptoms and are frequently associated with anovulatory conditions, such as Endometriosis. The limitation of finding the specific diseases in image processing approach is complex structure tissue, early detection and treatment of these conditions are essential. To address these...
By J. Josphin Mary, V. Shanthi
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
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
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