EVALUATING THE SEISMIC RESPONSE OF REINFORCED CONCRETE BUILDINGS WITH SHEAR WALLS ON VARIED SLOPING TERRAINS USING PUSHOVER ANALYSIS
This study investigates the seismic performance of a four-story reinforced concrete frame building with irregularities, situated on sloping ground. Recognizing the increasing prevalence of construction on slopes due to population growth and urban expansion, this research employs a step-back model on the sloping terrain at inclinations of 0°, 10...
By Tushar Golait, Neeraj Tiwari, Manjeet Singh Hora
EVALUATING THE EFFECT OF PARTICIPATORY URBAN PLANNING ON COMMUNITY WELL-BEING AND QUALITY OF LIFE
This study aimed to evaluate the impact of participatory urban planning on community well-being and quality of life. Urban planning is done to transform urban areas into sustainable cities with adequate open spaces and many features of smart cities. To achieve successful urban planning, active and involved participation of the stakeholders is neces...
By Ammar A Naji
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
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
CORPORATE RESOURCE PLANNING SYSTEMS AND THEIR ROLE IN DEVELOPING VALUE CHAIN PERFORMANCE RESEARCH APPLIED IN THE DAIRY INDUSTRY COMPANY
The study explores how Enterprise Resource Planning (ERP) systems can enhance value chain performance in the dairy manufacturing sector. The paper aims to evaluate the role of ERP-based enhancements in integrating processes, improving efficiency, and coordinating resources to create value along the value chain. The study uses an analytical research...
By Khaled Jamal Fadhel
CNN - GA - DRIVEN ADAPTIVE OPTICAL COMMUNICATION FRAMEWORK FOR LOW-LATENCY FIBER TRANSMISSION
The growing need to improve the speed and quality of communication networks currently discussed in this paper is motivated by the uncontrolled increase in the world data traffic. Although fiber optic is essentially well placed to satisfy this requirement, it has long term problems like scattering, distortion nonlinearity and oscillating noise. The ...
By Alyaa Ali Hameed, Ibrahim Khalil Sileh, Saad Mohsen Hazzaa
INTERPRETABLE TRANSFORMER-BASED VIBRATION ANALYSIS FOR ANOMALY DETECTION IN INDUSTRIAL SYSTEMS
The concept of monitoring conditions with the help of AI has become a significant aspect of Industry 4.0 that enhances machine reliability and provides predictive maintenance. However, the models of anomaly detection based on deep learning are not readily implemented because of their lack of interpretability. The article introduces a novel anomaly ...
By M. Mohamed Musthafa, A. Aafiya Thahaseen, R. Arulmozhi, S. Mohammed Ibrahim, S. Sangeetha, M. Rabiyathul Fathima, M. Gowthami, P. Esaiyazhini
E-VOTING SYSTEM USING BLOCK CHAIN TECHNOLOGY AND CONSENSUS ALGORITHMS FOR SECURE AND FAST TRANSACTIONS OF VOTES
This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow proc...
By V. Malathi, R. Jaichandran
A ROBUST FEATURE ENGINEERING ARCHITECTURE INCORPORATING HYBRID SAMPLING AND SEMANTIC-STRUCTURAL CODE AUGMENTATION
The sophistication of the contemporary code has augmented defect prediction (SDP) with vital concerns like severe imbalance in classes, high redundancy of features and failure of conventional techniques to gain the rich semantic and structural context of a source code. The model suggested within the current paper is HDA-SE-GFF that has Semantic-Enr...
By P. Bhavani, N. Danapaquiame
DETERMINATION OF CACAO QUALITY USING THE MUMFORD-SHAH FUNCTIONAL ALGORITHM AND IMAGE SEGMENTATION
One of the major issues in the agricultural industry is cocoa quality determination that may be based on subjective sensory assessment techniques that may cause inconsistency and losses after harvesting. The following research will solve the set of issues by taking the Mumford-Shah functional algorithm with the image segmentation, to evaluate the q...
By Eduardo Arturo Guillen Bazan, Pablo Cesar Medrano Nina, Neicer Campos Vasquez