IMPACT OF DECENTRALIZED BLOCKCHAIN BASED CREDENTIALING ON LEARNER AUTONOMY AND EPISTEMIC AGENCY IN GLOBAL DIGITAL EDUCATION SYSTEMS
The rapid development of digital learning technologies has raised concerns about credential fraud, centralized data, restricted learner mobility, and limited epistemic agency. Traditional credentialing systems, generally organised by universities, accreditors, and centralised systems, restrict students' autonomy by lacking ownership, portability, a...
By Surayyo Sanayeva, Gulchehra Meliqozieva, Gavkhar Tursunova, Elvira Tadjikhodjaeva, Feruz Ganjiev, Surayyo Eshboyeva, Ashur Yaxshiyev
THE MEDIATING ROLE OF HOUSEHOLD EXPENSE REDUCTION IN THE RELATIONSHIP BETWEEN SUBSIDIZED POLICE CANTEEN AND SAVINGS BEHAVIOUR
The presence of subsidized welfare systems is also major determinants of household fiscal behaviour, especially among uniformed employees like police officers, whose choices about finances are determined by organized income distributions and professional limitations. This paper explores how subsidized police welfare canteens affect the financial be...
By M. Manoj Kumar, B. Devamaindhan, Y. Aysha Fathima, S. Akila, R. Gayathri
UTILIZING GENERATIVE AI CLINICAL PATIENT PERSONAS FOR ENHANCING DIAGNOSTIC ACCURACY AND THERAPEUTIC EMPATHY IN UNDERGRADUATE PSYCHOLOGY TRAINING
There is frequent conflict between diagnostic rigor and therapeutic empathy training in psychology undergraduates because students rarely encounter a variety of complex clinical presentations. This research investigates the usefulness of applying generative artificial intelligence (AI) clinical patient persona (GPT-4) by OpenAI to improve diagnosti...
By Mokhitabon Komilova, Go‘yoxon Yakubova, Shoxista Xolmurotova, Azizbek Mukhamedov, Umida Djalilova, Aliya Kadirbaeva, Bobur Juraev
ENHANCING SPATIAL-TEMPORAL FEATURE FUSION WITH CONVOLUTIONAL GRUS FOR BREAST TUMOR CLASSIFICATION
Even today, one of the main reasons for mortality among females is breast cancer, whose effective treatment needs earlier detection. In this work, a new methodology based on spatial-temporal Deep Learning for detecting and classifying breast tumors through the use of Convolutional Neural Networks (CNN) and Convolutional Gated Recurrent Unit (ConvGR...
By A. Aarthi, Smitha Elsa Peter
ASSESSING LEARNING-BASED MODELS FOR INTRUSION DETECTION IN UAV NETWORKS
Unmanned Aerial Vehicle (UAV) networks are being used in various military, civilian and infrastructure-monitoring fields, making them vulnerable to an increasing number of cyber threats. To achieve strong security in these resource-limited, dynamic environments, lightweight and accurate intrusion detection systems (IDS) are necessary. In this paper...
By Razan Abdulhammed, Mohand Lokman Ahmad, Shaima Miqdad Mohamed Najeeb, Haider TH. Salim Alrikabi
HYPERPARAMETER OPTIMIZATION OF DEEP NEURAL NETWORKS FOR ADAPTIVE MODULATION AND CODING IN HIGH-SPEED MILLIMETER-WAVE COMMUNICATION SYSTEMS
Adaptive Modulation and Coding (AMC) is a key principle that increases spectral efficiency, reliability, and capacity in high-data-rate mmWave wireless communication systems. But AMC strategies depend upon static threshold-based rules that generally struggle to perform well in varying channel conditions. In this study, an innovative HO-DNN architec...
By M.N. Divya, S.N. Rekha, C.S. Asha, S. Ramya, L. Lakshmaiah, J. Narendra Babu, A. Sathish
RECALIBRATING FDI PROMOTION POLICIES FOR ESG COMPLIANCE AND VALUE CREATION IN EMERGING MARKETS
In foreign direct investment (FDI) promotion, there is a traditional focus on investment volume measured by the number of projects, inflow of investment, and ease of approvals. But the rising demands for sustainability in the global environment have made investment quality, ESG compliance, and value creation the focus of FDI. This paper attem...
By Tran Do Bao Chau, Uyen Dinh Trinh, Le Quoc Hoi
THE MEDIATING ROLE OF OCCUPATIONAL SAFETY MANAGEMENT SYSTEMS IN THE RELATIONSHIP BETWEEN ERGONOMIC DESIGN AND WORKPLACE ACCIDENTS: EVIDENCE FROM THE CONSTRUCTION INDUSTRY
It is well-known that the construction industry ranks among those industries in which there are many cases of injury and workplace accidents for workers despite the advances in the development of various safety regulations and management practices. This paper aims at examining the role of OHSMS in mediating the relationship between ergonomic design...
By I. Ketut Sutapa, I. Gede Fery Surya Tapa, I. Wayan Sujahtra, Putu Hermawati, I. Ketut Parti, I. Wayan Intara
VOICE-DRIVEN MULTI-AGENT BANKING KIOSK FOR RURAL FINANCIAL INCLUSION USING A2A COMMUNICATION
This study focuses on designing a self-service kiosk system called Bank and Loan Assistant Kiosk, which will be a breakthrough idea by using Multi-Agent System and machine learning technologies. Although considerable development has been made in online banking, there is a major flaw in the availability of voice-first and localized financial advice ...
By C. Sreekar Kashyap, Sneha Kumarajothi, P. Vasuki, M. Arun Shankar
QUANTUM-INSPIRED NEURAL OPTIMIZATION FRAMEWORK FOR SUSTAINABLE ENERGY MANAGEMENT IN SMART GRID-CONNECTED RESIDENTIAL SYSTEMS
The incorporation of renewable energy sources and smart grids has resulted in the need for intelligent and adaptive energy management systems that are able to manage dynamic residential energy demands, uncertainties in renewable energy sources, and various constraints. Traditional optimization techniques and those based on artificial intelligence t...
By P. Bharath Kumar Chowdary, R. Sugumar, K. Saravanan, V.R. Vimal, R. Udayakumar