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  • Evolution in Computational Intelligence: Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)

    Evolution in Computational Intelligence by Bhateja, Vikrant; Yang, Xin-She; Lin, Jerry Chun-Wei; Das, Ranjita;

    Proceedings of the 10th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2022)

    Series: Smart Innovation, Systems and Technologies; 326;

      • GET 20% OFF

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      • Publisher's listprice EUR 299.59
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        124 254 Ft (118 338 Ft + 5% VAT)
      • Discount 20% (cc. 24 851 Ft off)
      • Discounted price 99 404 Ft (94 670 Ft + 5% VAT)

    124 254 Ft

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    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    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.

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    Table 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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