The proceedings contain 247 papers. The topics discussed include: importance of cyber security in software quality assurance;an intelligent system for estimation of exergy efficiency of integrated naphtha and isomeriz...
ISBN:
(纸本)9798350315905
The proceedings contain 247 papers. The topics discussed include: importance of cyber security in software quality assurance;an intelligent system for estimation of exergy efficiency of integrated naphtha and isomerization process under uncertainty;smart scheduling of EVS through intelligent home energy management using deep reinforcement learning;cascade failure management in distributed smart grid using multi-agent control;angular accuracy improvement in digital array radar with experimental analysis;a fall detection algorithm for thigh mounted smartphones using random forest and feature selection techniques;analysis of deep learning algorithms on edge in microscopic fabric dataset;multi-exposure image fusion using edge-aware network;employing intrinsic rewards to reduce requirements engineering issues in large distributed ERP teams;and the state of practices in requirement elicitation: an improved methodology for Pak software industry.
The proceedings contain 39 papers. The topics discussed include: a society-oriented environment of machine learning;are you surprised? the role of contextual surprise in designing autonomous systems;AI-enabled decisio...
ISBN:
(纸本)9781665490849
The proceedings contain 39 papers. The topics discussed include: a society-oriented environment of machine learning;are you surprised? the role of contextual surprise in designing autonomous systems;AI-enabled decision aid and decision support for symbiotic autonomous systems;stochastic sensitivity regularized autoencoder for robust feature learning;a modified reinforcement Q-learning method for multi-function phased array radar beam scheduling;adaptive chaotic injection to reduce overfitting in artificial neural networks;drone's trajectory optimization for searching a disaster collapsed area using data mining techniques;on abstract sciences: from data, information, knowledge to intelligence sciences;and can visual linguistic models become knowledge bases: a prompt learning framework for size perception.
The proceedings contain 19 papers. The topics discussed include: on the security of authenticated key agreement schemes for e-healthcare;internet-of-explainable-digital-twins: a case study of versatile corn production...
ISBN:
(纸本)9781665486170
The proceedings contain 19 papers. The topics discussed include: on the security of authenticated key agreement schemes for e-healthcare;internet-of-explainable-digital-twins: a case study of versatile corn production ecosystem;secure transmission in cell-free massive MIMO network with phase noise;fraud detection during financial transactions using machine learning and deep learning techniques;medium and short-term prediction of power system load based on improved LSTM algorithm;a rotation speed measurement system based on millimeter wave;an efficient authentication technique using convolution Chebyshev chaotic maps for TMIS;and examining the influence of national digital identity and smart pass platform on accelerating the processes of digital transformation.
The proceedings contain 192 papers. The topics discussed include: cardiac left ventricle segmentation using recurrent u-net and level set with short axis MRI images;efficient way to predict oxygen availability resourc...
ISBN:
(纸本)9781665495295
The proceedings contain 192 papers. The topics discussed include: cardiac left ventricle segmentation using recurrent u-net and level set with short axis MRI images;efficient way to predict oxygen availability resources using ai;a flame sensor-based firefighting assistance robot with simulation based multi-robot implementation;a comparative analysis of zeta and bridgeless LUO PFC converters Fedbldc motors with PI-controller;multi-label classification for diagnosis of tuberculosis from chest x-ray images;an efficient healthcare medication system with clustering algorithm using Euclidean distance adjoining data lake;and performance evaluation of biometric authentication and classification using deep learning approach.
The research presented here focuses on students' perceptions of using learning analytics dashboards, specifically for tracking progress indicators within the Moodle Learning Management System. The study aims to un...
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ISBN:
(纸本)9798350362060;9798350362053
The research presented here focuses on students' perceptions of using learning analytics dashboards, specifically for tracking progress indicators within the Moodle Learning Management System. The study aims to uncover the connections between progress tracking, motivation, satisfaction, and final grades. The research involved 126 students in a blended course covering economics and informatics. progress through course materials was tracked using conditional activities, and students' progress was measured using self-assessment quizzes and badges. Results indicated a positive correlation between progress indicators and motivation, as well as a strong correlation between progress indicators and satisfaction. However, no significant correlation was found between progress indicators and final course scores. In conclusion, the study confirms that tracking progress indicators positively impacts student motivation and satisfaction but does not directly affect final grades. Future research should explore the mediating role of motivation and satisfaction in the relationship between progress tracking and final course grades.
Speech translation involves converting spoken language from one language to text in another. However, traditional speech translation systems use a cascaded structure that has several shortcomings and defects. As globa...
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In collaborative edge computing systems, offloading computation tasks from users to edge nodes can effectively address the issues of insufficient terminal computing capabilities and high latency, high overhead of clou...
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A game-based therapy is created on a mobile application that provides an accessible and enjoyable solution to address cognitive rehabilitation needs, improving the quality of life for people who are experiencing cogni...
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A game-based therapy is created on a mobile application that provides an accessible and enjoyable solution to address cognitive rehabilitation needs, improving the quality of life for people who are experiencing cognitive impairments due to conditions like brain injuries, stroke, neurodegenerative diseases, or other neurological disorders. These individuals frequently face limited access to engaging and cost-effective cognitive rehabilitation therapy. For users with various cognitive impairments and ages, the application provides cognitive training based on quizzes, progress tracking, and an intuitive interface. The addition algorithm is used in this application's implementation. Targeting different cognitive functions like executive function, working memory, and attention can be done by starting with the addition *** the use of the addition algorithm in cognitive rehabilitation game therapy, therapists can take advantage of the engaging and interactive aspects of gaming to improve cognitive abilities and foster functional independence in those suffering from neurological disorders or cognitive impairments.
Finding an initial solution for a traveling salesman efficiently and with reasonable quality is needed both by the stateof-the-art local search and branch-and-bound optimal algorithms. Classical heuristics require O(n...
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Financial Technology (Fin Tech) has become a pivotal subject in both academic and industry discourse over the past decade, with over 115,000 scholarly articles in the Web of Science (WoS) database and millions of news...
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