MAPPING MENTAL HEALTH LITERACY ACROSS VARIED PROFESSIONS AND ITS FAR-REACHING IMPLICATIONS
Background Mental health is regarded as the core component of a person's health. India has a burden of 2442 disability-adjusted life years per 100,000 population imputable to mental health disorders, according to the WHO. The age-standardized suicide rate is 21.1 per 100,000 population. The estimated economic cost of mental dis...
By Farida Virani, G. Amutha, M. Kotteeswaran, R. Priyadharshini, A. Narmadha, B. Kalaiyarasan, Arun Raaza
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
A COMPREHENSIVE ANALYTICAL MODEL FOR DETECTING AND MAPPING CRIMES AGAINST WOMEN IN INDIA
Women's crimes in India are a serious social issue, and new-age solutions to their detection and prevention are essential. The article introduces an analytical model using modern data and geography tools to identify and map cases of violence against women in India. It uses several different types of sources such as police reports, social media and ...
By Aby Rose Varghese, Dr. R. Gunasundari
CROSS-LEDGER STATE PROPAGATION AND CONVERGENCE MODELING FOR SAP FINANCIAL TRANSACTIONS OVER BLOCKCHAIN INFRASTRUCTURES
Financial reporting within enterprise resource planning now commonly rides on a blockchain backbone, yet the problem of keeping each distributed ledger in sync remains stubbornly difficult-especially when SAP modules are at the controls. This paper describes a simulation-based testbed that watches SAP payment journals as they hop between differentl...
By Naren Swamy Jamithireddy
AN ADVANCED MULTIMODAL AI FRAMEWORK FOR EARLY BRAIN STROKE DETECTION USING HYBRID FEATURE SELECTION, ENSEMBLE MODELS, AND REINFORCEMENT LEARNING
The detection of stroke is vital since any delay in diagnosis may lead to significant disability or the loss of life. The existing predictive models fail to capture stroke symptoms with accuracy because of low complexity, and the ability to be used in the real-time situation in the clinical setting. In the following paper, an AI-based system of ear...
By D. Ushasree, A.V. Praveen Krishna, Ch. Mallikarjuna Rao, D.V. Lalita Parameswari
AI DRIVEN PREDICTIVE MAINTENANCE FRAMEWORK FOR MULTI-SENSOR INDUSTRIAL ROBOTS IN SMART MANUFACTURING
Predictive maintenance has become an important factor in improving the reliability and efficiency of industrial robots in the evolving environment of smart manufacturing. The proposed paper is a predictive maintenance framework based on AI to be implemented to multi-sensor industrial robots that will be used in a smart manufacturing setting. The po...
By Priya Vij, Ashu Nayak
DEVELOPMENT OF ADVANCED COMPOSITE MATERIALS FOR AEROSPACE ENGINEERING APPLICATIONS
The world aerospace industry is now facing an important shift from traditional metallic structures to high-tech advanced composite materials in order to meet the two-fold needs of structural optimization and environmental sustainability. This study examines the evolution of high-performance composite materials, particularly carbon fiber reinforced ...
By Ravinder Sharma, Shyam Maurya