Intelligent Data Engineering and Analytics : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)

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Intelligent Data Engineering and Analytics : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)

  • 言語:ENG
  • ISBN:9789819967056
  • eISBN:9789819967063

ファイル: /

Description

The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK, during April 11–12, 2023. Researchers, scientists, engineers, and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines in the book. This book is divided into two volumes. It covers broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines.

Table of Contents

Chapter 1: Ant Bee Colony for Automated black-box testing of RESTful API.- Chapter 2: Classifying Human Activities using Machine Learning and Deep Learning Techniques.- Chapter 3: Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A mixed method protocol.- Chapter 4: Novel Deep Learning Models for Optimizing Human Activity Recognition using Wearable Sensors: An Analysis of Photoplethysmography  and Accelerometer Signals.- Chapter 5: Link Prediction in Complex networks: An Empirical Review.- Chapter 6: High Utility Itemset Mining and Inventory Management: Theory and Use Cases.- Chapter 7: Using Clustering Approach to Enhance Prioritization of Regression Test Cases.- Chapter 8: Nucleus Segmentation using Adaptive Thresholding for Analysis of Blood and Bone Marrow Smear Images.- Chapter 9: A Systematic Review on Automatic Speech Recognition for Odia language.- Chapter 10: A Study on Influence Maximization in complex networks. etc.

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