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
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
AN ADAPTIVE BUTTERFLY OPTIMIZATION-DRIVEN EXPLAINABLE CNN–TRANSFORMER FRAMEWORK FOR ACCURATE AND TRUSTWORTHY CLINICAL DIAGNOSIS
Clinically-oriented AI-based diagnostic systems have exhibited impressive predictive accuracies; however, their poor interpretability capabilities and incapability to optimize their learning parameters in eal-time pose a major challenge towards implementing such solutions in the actual healthcare settings. To overcome such limitations, in thi...
By A Vaideghy, V Sridevi, D Saraswathi, L. S Sindhuja
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
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
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