ACCURATE AND ROBUST TRACKING OF 3D ANATOMICAL LANDMARKS OF THE HUMAN BODY USING KALMAN FILTERING
Computer vision is a significant field of application of mathematical models developed to monitor 3D anatomical locations of the human body, particularly in robotics, surveillance, and medicine. In this paper, we present a new model that applies the Kalman filter (KF) to track 3D anatomical features in real time with increased precision. The approa...
By Nadia Ibrahim Nife, Marwah Nihad, Mohammed Ahmed Hussein, Hoger K. Omar
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
IMPROVED STRESS STATE CALCULATION FOR GEOSYNTHETIC-ENCASED COLUMNS USING GRANULAR MEDIA MECHANICS
The paper is aimed at enhancing the computational method of Geosynthetic-Encased Columns (GECs) that enhance the engineering structures' foundations on weak soils. This method has proven to be effective in many projects, and the current technique fails to consider the distribution of stresses in the soil-filler, especially in loose soils. This stud...
By Kadhim A. Al-Abbas, Ali A. Al-Robay, Sura A. Saadoon
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
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
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
TECHNO-ECONOMIC ANALYSIS OF AN INTEGRATED SUGARCANE PROCESSING COMPLEX IN INDIA
This study focuses on a systematic techno-economic feasibility analysis of an integrated sugarcane processing complex in India. The comprehensive process modelling was performed using SuperPro Designer. The economic viability of an integrated sugarcane processing complex was assessed with significant economic parameters and other financial indices....
By ADITYA YADAV, Mithilesh Kumar Jha, Sachin Kumar
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
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
ASSESSING THE IMPACT OF CAPITAL BUFFER ON RISK TAKING AND BANK PERFORMANCE IN VIETNAMESE COMMERCIAL BANKS
This paper examines the determinants of capital buffers (CB) of 31 Vietnamese commercial banks over the period 2010-2024, taking into account the impact of income diversification ("DIV") under regulatory constraints (CARmin). In order to tackle endogeneity, unobservable heterogeneity, and panel persistence issues, a dynamic system GMM two-step proc...
By Tran Van Hai, Tran Thi Lan, Nguyen Anh Nguyet