ENHANCING VOCABULARY ACQUISITION FOR NEURODIVERGENT LANGUAGE LEARNERS USING COGNITIVE LOAD OPTIMIZATION IN AUGMENTED REALITY
This paper examines whether or not Augmented Reality (AR) is effective in the acquisition of vocabulary in neurodivergent language learners using the Cognitive Load Theory. The conventional teaching methods tend to cause a lot of extraneous cognitive load that poses a great obstacle to students with ADHD and Autism Spectrum Disorder. To combat this...
By Durdona Niyozova, Doston Mizrobov, Akmal Allakuliev, Shakhnoza Khamdamova, Azizbek Ismailov, Zafarjon Toshboev, Shukhrat Khasanov
THE ROLE OF FINTECH IN PROMOTING ENVIRONMENTALLY AND ECONOMICALLY SUSTAINABLE CONSUMER BEHAVIOR
The financial sector has witnessed transformative efficiencies with the rapid advancement of financial technology (Fintech), which has the potential to integrate sustainability into environmental and economic practices. Keeping in view the host of large companies functioning in Saudi Arabia, this study has been undertaken to examine the role of Fin...
By Assaf Filfilan, Dr. Mohammed Ibrahim Alattas
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
BIO INSPIRED RECONFIGURABLE ANTENNA ARRAYS FOR ULTRA-LOW POWER BODY AREA COMMUNICATION NETWORKS
Bio-inspired reconfigurable antenna arrays may be one possible answer to the challenges of energy efficiency, capability, and stability in ultra-low-power Wireless Body Area Networks (WBANs). In this paper, a bio-inspired reconfigurable architecture for antenna arrays is proposed, which can adaptively change radiation patterns and impedance propert...
By Roohee Khan, Ashu Nayak
ADVANCED SOFT COMPUTING PARADIGM FOR CROP MAPPING USING REMOTE SENSING AND ARTIFICIAL INTELLIGENCE: A REVIEW
High-precision crop type mapping is fundamental for agricultural monitoring, food security assessment, and sustainable land management. Recent breakthroughs in Earth observation and machine learning (ML) have greatly enhanced the potential for satellite data to capture crop phenology, spatial variability, and temporal variations. This paper conduct...
By Benazir Meerasha, K. Martin Sagayam, P. Malin Bruntha, Jasmine David, Vasu Koduri
PRECIPITATION GENERATION FOR VARIOUS RETURN PERIODS USING RAIN4PE AND PISCOP V2.1 GRIDDED PRODUCTS IN THE SUPE RIVER BASIN
This paper examines the distribution of maximum precipitation of the Supe basin at the return periods of 10, 100, 1000, and 10,000 years using Weibull technique to estimate return time. They compare PISCOp v2.1 and RAIN4PE which are two gridded rain products to evaluate their predictability in terms of extreme precipitation occurrences. These gridd...
By Rengifo-Arevalo Jhon Filips, Agramonte-Monge Henry Fabian, Abel Carmona Arteaga, Campos-Vasquez Neicer