VISION TRANSFORMER USING FRACTIONAL GRADIENT ATTENTION TOOLS FOR ROBUST IMAGE CLASSIFICATION
Vision Transformers (ViTs) have attained very promising results in the field of computer vision, but those models continue to face several critical issues such as gradient saturation and poor generalization on smaller datasets. The current attention mechanisms are inefficient to resolve issues by the leading to ineffective feature extraction and an...
By S. Shalini, P.S. Eliahim Jeevaraj
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
ENERGY-EFFICIENT LOAD BALANCING AND INTERFERENCE-AWARE USER ASSOCIATION IN LARGE-SCALE HETNETS USING DISTRIBUTED MULTI-AGENT RL
Large-Scale Heterogeneous Networks (HetNets) are needed to deliver high capacity and reliable connectivity, as wireless communication demands. Nevertheless, the high density and diversity of base stations in the settings pose a great challenge in terms of Energy Efficiency (EE), Load Balancing (LB), and Interference Management (IM). Conventional ce...
By Pothula Pavan Kumar Reddy, C. Kamalanathan
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
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
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
IMPACT OF ASSET RESTRUCTURING ON FINANCIAL STABILITY AND BANK PERFORMANCE: EVIDENCE FROM THE INDIAN BANKING SECTOR USING DYNAMIC PANEL ANALYSIS
Asset restructuring has become a key tool for banks to deal with non-performing assets (NPAs) and sustain banking sector health, especially in emerging economies like India where the quality of assets is a persistent issue. This study examines the effect of asset restructuring on financial performance and financial stability of the Indian scheduled...
By T.M. Rajesha, Safika Praveen Sheikh