CROSS DOMAIN LATENT SPACE ALIGNMENT FOR ZERO SHOT KNOWLEDGE TRANSFER IN LARGE SCALE NEURO SYMBOLIC FOUNDATION MODELS
The large-scale adoption of neuro-symbolic foundation models poses a critical challenge: zero-shot knowledge transfer is hindered by mismatches in latent distributions, modality heterogeneity, and discrepancies between symbolic and neural representations. In the following paper, a Cross-Domain Latent Space Alignment (CDLSA) framework will be propos...
By Alijon Anvarov, Jonibek Berdikulov, Azizjon Begaliev, Zulxumor Djurayeva, Khaydar Kamilov, Soniya Islyamova, Guzal Ergasheva
QUICK COMMERCE AND THE NEW DIGITAL DIVIDE: ASSESSING ITS IMPACT ON FINANCIAL INCLUSION IN URBAN INDIA
Based on an analysis of the mediating impact of digital literacy, platform accessibility, and digital ecosystem trust, this paper examines the impact of quick commerce (q-commerce) on financial inclusion in urban India. Reliability analysis, correlation analysis, multiple regression analysis, and parallel mediation analysis were used using survey d...
By P Hameem Khan, P. Muni Sravan Kumar Reddy, R. Aravind, G. Nagaraju, N. Pavani, E. Sathiya Priya
DIGITAL PLAY FOR A SUSTAINABLE FUTURE: ENGAGING PRESCHOOLERS WITH BEACH LITTERING AWARENESS THROUGH MOBILE GAME INTERVENTION
Beach ecosystems are important to biodiversity, tourism and coastal livelihoods yet are also facing the growing threat of plastic pollution and marine litter. Although the world has been working towards ensuring sustainability, young children especially the preschoolers are a group that is not fully addressed in terms of environmental education. Th...
By Ellena John, Lim Chen Kim
HUMAN RESOURCES PRACTICES AND EMPLOYEE RETENTION IN LEBANON EXPLORING MOTIVATION AND JOB SATISFACTION IN GENERATIONS Y AND Z
This study examines the influence of HR practices on the rate of retention among Generation Y and Generation Z employees in Lebanon. This is accomplished via intrinsic motivation and job satisfaction, which serve as two critical mediating factors. The data were gathered through an online survey involving 906 participants, divided equally into Gener...
By Walaa Riachy, Mario Sassine, Satya Subrahmanyam
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
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
EFFICIENTNET-B0-BASED FRAMEWORK FOR AUTOMATED MULBERRY ROOT KNOT DISEASE CLASSIFICATION Based ON LEAF SYMPTOMS USING GRAD-CAM VISUALIZATION
The study is based on the idea of an innovative method of automated classification of mulberry root Knot diseases on the basis of the leaf symptoms through the EfficientMulberryNet-B0-GC model, which is a combination of EfficientNet-B0 and Grad-Cam visualization. The model aims to complement the lack of efficient and transparent disease detection i...
By N. Priyanka, K.G. Mohan
DETERMINANTS OF FINANCIAL PERFORMANCE IN THE VIETNAMESE SECURITIES INDUSTRY USING PANEL DATA EVIDENCE FROM 80 FIRMS ACROSS MARKET TIERS
The fast-paced development of the securities industry of Vietnam led to higher competition among enterprises and the necessity to discover the factors that determine the financial performance of various market segments. There is scarce literature concerning the financial performance of small, unlisted and UpCom securities firms, as previous studies...
By Minh Tien Cao, Be Thi Thanh Loan, Truong Thị Duc Giang, Huong Tra Pham, Mai Quynh Pham, Viet Ninh Vu
COGNITIVE READINESS BASED CAMPUS PLACEMENT PREDICTION USING ANN AND SHAP
Placements at campus level are one of the most crucial events for engineering and computing students; however, institutes use simplistic cutoffs and subjective judgment methods to determine the placement status of their students. In this study, a classification system is proposed by introducing new operational cognitive readiness criteria which inc...
By Hameeda Khatoon, Chandra Prakash Vudatha