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
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
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
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
SECNET ARCHITECTURE FOR AI-DRIVEN ACCESS CONTROL AND REAL-TIME THREAT DETECTION IN BLOCKCHAIN SYSTEMS
Storage systems must be verifiably secure, and access control must be fine grained and transparent, and must provide audit trails for modern cyber-physical and cloud ecosystems. While blockchain ensures immutability and traceability of data, it does not have the ability to make real-time authorization decisions, identify abnormal behavior, or...
By Kummara Sruthi, N. Mallikharjuna Rao
ROLE OF SOCIAL MEDIA ENGAGEMENT METRICS IN SHAPING CUSTOMER PERCEIVED VALUE AND REVISIT INTENTION IN BUDGET HOTEL SEGMENTS
Background: The social media engagement has become a crucial ingredient of customer perception in the hospitality industry, especially in budget segments where online reviews make a lot of difference in their decision-making. By understanding the impact of engagement metrics on perceived value and revisit intention, hotel managers can gain insights...
By J. Jacquline Martina, S. Senthil Kumar, K. Nazni, K. Subathra
QUANTUM BOLTZMANN MACHINES FOR HIGH DIMENSIONAL FEATURE SELECTION AND SPARSE REPRESENTATION IN AUTISM SPECTRUM DISORDER CLASSIFICATION
The classification of ASD from neuroimaging and behavioral information has not been easy owing to factors such as high dimensionality, non-linearity, and overfitting, among others. In this research, propose an innovative framework based on QBMs for feature selection and efficient representation for ASD classification. QBMs have been used to leverag...
By V. John Peter, P. Renukadevi, S. Annamalai, P. Manikandan
DYNAMIC PANEL INVESTIGATION OF CORPORATE CASH HOLDINGS AND THEIR FINANCIAL OPERATIONAL AND GOVERNANCE DETERMINANTS IN VIETNAMESE RETAIL FIRMS
The study seeks to identify the joint effect of financial, operating, and governance features on the cash levels of retail firms listed in Vietnam. Instead of viewing the cash policy as a one-time decision that determines the cash balance, we model the cash level as a dynamic process where the current level is a function of past periods' cash level...
By Hien Nguyen Thi Bao, Sang Ha Van, Hoa Pham Thi Thanh
PSYCHOLOGICAL FACTORS INFLUENCING TOURISM BUSINESS PROMOTION AND SALES WITH AN AI-ASSISTED PROMOTIONAL FRAMEWORK
In recent times, tourism organizations have been requiring personalized promotional plans based on the preferences, behavior, and psychology of tourists. Traditional methods of promotion often target larger customer segments, which may not always suit individual tourism contexts. In such scenarios, this study will try to bridge the gap by consideri...
By L. Chandni, R. Sangeetha