Description

Book Synopsis

.- Theory and Methods.
.- A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications.
.- Evaluating the need of Reinforcement Learning by implementing Heuristic Algorithms with its Load Balancing and Performance Testing in Cloud.
.- Optimizing XGBoost for Blockchain Malicious Node Detection by Metaheuristics.
.- A Correct-by-Construction Model for Request-Based Access Control.
.- Lattice-based Post Quantum Cryptography using Variations of Learning with Error (LWE).
.- A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos.
.- Adapting a Modern Siamese Framework for 360° Video Object Tracking.
.- Detecting Deepfake Images with Enhanced Generative Adversarial Networks.
.- CRITIC and TOPSIS-Enhanced Fuzzy Clustering (CTEFC) Protocol for IoT-Based WSNs.
.- Ambiguous sets and various distance measurements.
.- The Study on Face recognition using Between Convolutional Neural Network (CNN) and Local Binary Histogram (LBPH) with Censored Facial Images.
.- An Air-written Real-time English Isolated Numeral Recognition.
.- The PV-ALE Dataset: Enhancing Apple Leaf Detection and Classification Through Transfer Learning with Convolutional Neural Networks.
.- Impact of SMOGN on Regression Models for Crop Yield Prediction in Mizoram Agriculture.
.- Deep Learning for Sustainable Apple Farming: Disease Detection in Leaves.
.- Forecasting Coffee Prices with Facebook Prophet: A Machine Learning
Approach.
.- Enhancing Hindi Named Entity Recognition using XLM-RoBERTa.
.- Neural Network Architectures for Machine Translation: Enhancing Quality Education through Improved Access to Multilingual Resources.
.- Optimizing Error Detection in Generated Code Using Metaheuristic Optimized Natural Language Processing.
.- Enhancing Graph Based Models For Automatic Program Repair.
.- Enhancing Grapheme-to-Phoneme Conversion for Bengali Speech Recognition: Leveraging Dialectical Variations and Morphophonemic Rules.
.- Determinants of Generative AI-based Chatbot Adoption in Customer Support.
.- ToxNet: A Multi-layer Network Approach to Toxicity Analysis using
Graph Neural Networks.
.- Multiphase Sentiment Analysis Model for Automatic Movie Reviews.
.- An Interpretable Deep Learning Framework For Brain Tumor Diagnosis using UNET and CAM Techniques.
.- Connecting the Dots: Understanding the Influence of Online Social Networks on Mental Wellness via Social Network Analysis.
.- Drug target identification using integrative multi-omics data analysis and deep learning - a breast cancer case study.
.- A Stack Ensemble Model for Paralysis Prediction from Lower Limb EMG Signals using Machine Learning Approaches.
.- Lung Cancer Detection using Deep-Learning models.
.- Inclusive Innovation: Early Detection Strategy for Lung Cancer Using Ensembles.
.- Psychological State Analysis for Technostress Detection: A Hierarchical Clustering Approach.

Soft Computing and Its Engineering Applications

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    £124.92

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    RRP £131.50 – you save £6.58 (5%)

    Order before 4pm today for delivery by Mon 15 Jun 2026.

    A Paperback by Kanubhai K. Patel

    15 in stock


      View other formats and editions of Soft Computing and Its Engineering Applications by Kanubhai K. Patel

      Publisher: Springer
      Publication Date: 23/05/2025
      ISBN13: 9783031880384, 978-3031880384
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      .- Theory and Methods.
      .- A Prediction-Enabled Scheduling Framework for Cloud Manufacturing Applications.
      .- Evaluating the need of Reinforcement Learning by implementing Heuristic Algorithms with its Load Balancing and Performance Testing in Cloud.
      .- Optimizing XGBoost for Blockchain Malicious Node Detection by Metaheuristics.
      .- A Correct-by-Construction Model for Request-Based Access Control.
      .- Lattice-based Post Quantum Cryptography using Variations of Learning with Error (LWE).
      .- A Spatio-Temporal Explainable Deep Learning Approach for Frame Classification from Book Flipping Videos.
      .- Adapting a Modern Siamese Framework for 360° Video Object Tracking.
      .- Detecting Deepfake Images with Enhanced Generative Adversarial Networks.
      .- CRITIC and TOPSIS-Enhanced Fuzzy Clustering (CTEFC) Protocol for IoT-Based WSNs.
      .- Ambiguous sets and various distance measurements.
      .- The Study on Face recognition using Between Convolutional Neural Network (CNN) and Local Binary Histogram (LBPH) with Censored Facial Images.
      .- An Air-written Real-time English Isolated Numeral Recognition.
      .- The PV-ALE Dataset: Enhancing Apple Leaf Detection and Classification Through Transfer Learning with Convolutional Neural Networks.
      .- Impact of SMOGN on Regression Models for Crop Yield Prediction in Mizoram Agriculture.
      .- Deep Learning for Sustainable Apple Farming: Disease Detection in Leaves.
      .- Forecasting Coffee Prices with Facebook Prophet: A Machine Learning
      Approach.
      .- Enhancing Hindi Named Entity Recognition using XLM-RoBERTa.
      .- Neural Network Architectures for Machine Translation: Enhancing Quality Education through Improved Access to Multilingual Resources.
      .- Optimizing Error Detection in Generated Code Using Metaheuristic Optimized Natural Language Processing.
      .- Enhancing Graph Based Models For Automatic Program Repair.
      .- Enhancing Grapheme-to-Phoneme Conversion for Bengali Speech Recognition: Leveraging Dialectical Variations and Morphophonemic Rules.
      .- Determinants of Generative AI-based Chatbot Adoption in Customer Support.
      .- ToxNet: A Multi-layer Network Approach to Toxicity Analysis using
      Graph Neural Networks.
      .- Multiphase Sentiment Analysis Model for Automatic Movie Reviews.
      .- An Interpretable Deep Learning Framework For Brain Tumor Diagnosis using UNET and CAM Techniques.
      .- Connecting the Dots: Understanding the Influence of Online Social Networks on Mental Wellness via Social Network Analysis.
      .- Drug target identification using integrative multi-omics data analysis and deep learning - a breast cancer case study.
      .- A Stack Ensemble Model for Paralysis Prediction from Lower Limb EMG Signals using Machine Learning Approaches.
      .- Lung Cancer Detection using Deep-Learning models.
      .- Inclusive Innovation: Early Detection Strategy for Lung Cancer Using Ensembles.
      .- Psychological State Analysis for Technostress Detection: A Hierarchical Clustering Approach.

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