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
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
MODIFIED ATTENTION U-DENSENET FOR 13-CLASS LUMBAR SPINE MRI SEGMENTATION
Low back pain can be caused by lumbar disc disorders; however, correct segmentation of the structures of the vertebrae and the disc disorders using MRI is crucial for clinical evaluation. In this case, previous deep-learning segmentation approaches have mainly concentrated on the segmentation of anatomical structures and lacked pathology-aware disc...
By Rana Riyadh Saeed, Muhammad Amir As’ari, Ahmad Zahran Md Khudzari, Ahmed Sabeeh Yousif, Hadeel Mohamed Farook Alhialy, Mohamed Muyaser Naif
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
LATENT URBAN HERITAGE ASSESSMENT IN SAIGON HO CHI MINH CITY THROUGH HISTORICAL CARTOGRAPHY AND URBAN MORPHOLOGY
Ho Chi Minh City, historically known as Saigon, is being redeveloped at a pace that places pressure on heritage values located beyond protected monuments and colonial-era buildings. This study examines how earlier hydrological, settlement, commercial, defensive, administrative, and metropolitan structures remain visible or latent in the present urb...
By Minh Hieu Nguyen, Ngoc Quynh Giao Pham, Thi Minh Dieu Nguyen
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