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
A MACHINE LEARNING FRAMEWORK FOR EVALUATING CONSUMER PERCEPTIONS OF AI-GENERATED INFLUENCERS COMPARED TO HUMAN INFLUENCERS IN BRAND PROMOTION
The growing popularity of AI-generated virtual influencers on platforms like Instagram, TikTok, and YouTube has brought about changes in digital marketing through scalable and controllable promotion strategies for brands. Unfortunately, there is still a lack of quantitative models to help compare and measure consumer perceptions about AI-generated ...
By P. Saravanan, V.M. Shenbagaraman, Saravanan Devadoss, N. Arunfred
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
EXAMINING THE RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND EMPLOYEE WELL BEING IN CUSTOMER CENTRIC ORGANIZATIONS
AI is rapidly redefining how customer-oriented companies conduct their businesses through process automation, decision-making, and improved customer service. However, the influence of AI is lacking regarding employee well-being. This paper is focused on researching the connection between AI adoption and employee well-being by assessing the effects ...
By K.R. Sowmya, Bhuvaneswari Gowthaman, R. Santhiya, J. Sathish Kumar, R. Elavarasan
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
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
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