Evolution in Computational Intelligence
Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)
Series: Smart Innovation, Systems and Technologies; 326;
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Product details:
- Edition number 2023
- Publisher Springer Nature Singapore
- Date of Publication 27 April 2024
- Number of Volumes 1 pieces, Book
- ISBN 9789811975158
- Binding Paperback
- See also 9789811975127
- No. of pages641 pages
- Size 235x155 mm
- Language English
- Illustrations XVIII, 641 p. 294 illus., 219 illus. in color. Illustrations, black & white 548
Categories
Long description:
The book presents the proceedings of the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022), held at NIT Mizoram, Aizawl, Mizoram, India during 18 – 19 June 2022. 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. These proceedings are 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 volume is a valuable resource for postgraduate students in various engineering disciplines.
MoreTable of Contents:
SIFT Application Separates Motion Characteristics and Identifies Symbols on Tires.- Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model.- Comparative Study on Different Approaches for Understanding the Privacy Policies.- A framework for the development of Intrusion detection system using Deep Learning.- A Self Explainable Face Anti-Spoofing Solution based on Depth-Estimation.- A Naïve Approach for Mutation Detection using Color Encodings and String Matching Techniques.- Particulate Matter Concentration Estimation from Images Based on Convolution Neural Network.- Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures.- Automatic Abnormality Detection in Musculoskeletal Radiographs using Ensemble of Pre-trained Networks.- Ablation study of Indian Automatic Vehicle Number Plate Recognition model trained over Synthetic dataset.- An Approach of Hate Speech Identification onTwitter Corpus.- A Fuzzy C-Means Based Clustering Protocol to Improve QoS of Multi Sink WSNs.- A Descriptive Analysis of Reddit Comments using Data Analytics Approach.- Streamflow forecasting using novel ANFIS-GWO approach.- A Novel COVID-19 Based Optimization Algorithm (C-19BOA) for Multimodal Optimization Processes.- A Survey on Medical Image Analysis Using Deep Learning.- Improving English-Assamese Neural Machine Translation using Transliteration-based Approach.- Prediction of Air Quality using Machine Learning.- Inter domain text classification: A hybrid approach.- Sentimental Analysis of Twitter Users’ Text Using Machine Learning.
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