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

Title:

Author:

Bhateja, Vikrant. editor.

ISBN:

9789819967063

Edition:

1st ed. 2023.

Physical Description:

XVIII, 635 p. 281 illus., 223 illus. in color. online resource.

Series:

Smart Innovation, Systems and Technologies, 371

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.

Subject Term:

Computational intelligence.

Artificial intelligence.

Engineering -- Data processing.

Quantitative research.

Data Engineering.

Data Analysis and Big Data.

Added Author:

Bhateja, Vikrant.

Carroll, Fiona.

Tavares, João Manuel R. S.

Sengar, Sandeep Singh.