GRAPH-BASED METHODS FOR EXTRACTIVE ARABIC NEWS TEXT SUMMARIZATION
The speed of the increasing digital content requires the creation of successful Automatic Text Summarization (ATS) systems. Although major improvements have been made in the summarization of high-resource languages, the summarization of Arabic texts has not been effectively studied, especially in terms of comparative studies of preprocessing method...
By Rasha Almutairi, Sahar Jambi, Tawfiq Hasanin
OPTIMIZED GIS-BASED RISK MAPPING OF WATER WALLS IN KIRKUK CITY
In Kirkuk City, Iraq, groundwater pollution is increasingly a problem due to intense urbanization, population growth, and unregulated water well drilling. Although the systematic assessment of groundwater pollution is essential to domestic and agricultural applications, the systematic analysis of its contamination has not been conducted, and the cu...
By Amel Nashat Shakir, Omar Falah Mirdan, Arjan Sharfuldeen Omar
MLA: INTELLECTUAL DUAL KEY-BASED NODE AUTHENTICATION WITH MASTER LINKED AUDITOR NODE BEHAVIOUR-BASED MALICIOUS NODE DETECTION FOR SECURE DATA TRANSMISSION IN 6G ENABLED WSN
This study focuses on the ever-increasing challenge of ensuring the integrity of Sixth Generation (6G) enabled Wireless Sensor Networks (WSNs), which are highly vulnerable to malicious node attacks, thereby compromising network data integrity and efficiency. Conventional methods of cryptography do not necessarily resist advanced attacks like select...
By Pavan Vamsi Mohan Movva, Radhika Rani Chintala
NEURO ADAPTIVE METACOGNITIVE PROMPTING STRATEGIES FOR IMPROVING SELF REGULATED LEARNING AND CRITICAL THINKING IN PSYCHOLOGICAL SCIENCE EDUCATION
The growing recognition of Psychological Science education as a domain that demands higher-level thinking has revealed that students still exhibit chronic shortcomings in self-regulated learning (SRL) and critical thinking. Reports indicate that about 42% of undergraduate psychology students have low metacognitive monitoring accuracy, and more than...
By Nodira Fazilova, Khurshida Komilova, Olmos Avezov, Fatima Nazarova, Salima Akhmedova, Muzaffar Xaydarov, Rano Alimardanova
INTEGRATED GRU-LSTM MODEL WITH SENTIMENT FOR FOREX PREDICTION
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 S. Mohan Krishna, M.V. Sangameswar, B. Sujatha
TRACING THE ROLE OF PRESS COVERAGE IN SHAPING SOCIETAL UNDERSTANDING OF 2D NANOMATERIALS AND PHOTOCATALYTIC APPLICATIONS
In this study, the authors examine how journalism affects the societal awareness regarding 2D nanomaterials and their use in photocatalysis, using the content of the press from 2000 to 2025. The analytical approach and historical approach of the study help them to comprehensively examine a variety of sources, such as newspapers, archival repositori...
By Ala'a A. Al-Majdi, Safaa M. Almudhafar
EFFECT OF SAND SHELL IMPROVEMENT USING POLYPROPYLENE FIBER AND CEMENT ON THE SEISMIC RESPONSE OF SMALL-SCALE ZONED EARTH DAM MODELS
The application of sand as shell materials in zoned earth dams is common due to its availability and economic factors. Nevertheless, it is necessary to analyze the performance of such materials under the simultaneous effect of seepage and earthquake loads, especially when the core of the structure is formed from low permeable materials. The present...
By Hussein Jassim Abdulsameea, Saleh Issa Khassaf
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
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