Cover image for Evolution in Computational Intelligence Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)
Title:
Evolution in Computational Intelligence Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)
Author:
Bhateja, Vikrant. editor.
ISBN:
9789811975134
Edition:
1st ed. 2023.
Physical Description:
XVIII, 641 p. 294 illus., 219 illus. in color. online resource.
Series:
Smart Innovation, Systems and Technologies, 326
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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