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
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
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