Description

Book Synopsis

Hybrid Computational Intelligent Systems Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.

Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.

The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.

Features:

  • A

    Table of Contents

    Chapter 1

    Creating ratings of agricultural universities based on their digital footprint

    Chapter 2

    Mechatronic Complex’s Fuzzy System for Fixating Moving Objects

    Chapter 3

    Quad Sensor-based Soil-Moisture Prediction using Machine Learning

    Chapter 4

    Stability Analysis for a Diffusive Ratio-dependent Predator-prey Model involving two Delays

    Chapter 5

    Analysis and Prediction of Physical Fitness Test Data of College Students Based on Grey Model

    Chapter 6

    Analysis and Research on Book Borrowing Tendency Based on Apriori Algorithm

    Chapter 7

    Performance Evaluation of Cargo Inspection Systems with the Function of Materials Recognition

    Chapter 8

    Automated Medical Report Generation on Chest X-Ray Images using Co-Attention mechanism

    Chapter 9

    An Energy Efficient Secured Arduino based Home Automation using Android Interface

    Chapter 10

    A Multithreaded Android App to Notify Available `CoWIN’ Vaccination Slots to Multiple Recipients

    Chapter 11

    Binary MMBAIS for Feature Selection Problem

    Chapter 12

    Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques

    Chapter 13

    Fragile Medical Image Watermarking using Auto-generated Adaptive Key based Encryption

    Chapter 14

    Designing of a Solution Model for Global Warming and Climate Change using Machine Learning and Data Engineering Techniques

    Chapter 15

    Human Age Estimation using sit-to-stand exercise Data-driven Decision Making by Neural Network

    Chapter 16

    Feature Based Suicide Ideation Detection from Twitter Data Using Machine Learning Techniques

    Chapter 17

    Analyzing the role of Indian Media during the second wave of COVID using Topic Modeling

    Chapter 18

    Hardware Efficient FIR Filter Design using Fast Converging Flower Pollination Algorithm - A Case Study of denoising PCG Signal

    Chapter 19

    Voice Recognition System Using Deep Learning

    Chapter 20

    Modified Harris Hawk Optimization Algorithm for Multi-level Image Thresholding

    Chapter 21

    An automatic probabilistic framework for detection and segmentation of tumor in brain MRI images

    Chapter 22

    Comparative Study of Generative Adversarial Networks for Sensor Data Generation based Remaining Useful Life Classification

    Chapter 23

    Towards a Framework for Implementation of Quantum-Inspired Evolutionary Algorithm on Noisy Intermediate Scale Quantum Devices (IBMQ) for Solving Knapsack Problems

Hybrid Computational Intelligent Systems

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A Hardback by Siddhartha Bhattacharyya

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    View other formats and editions of Hybrid Computational Intelligent Systems by Siddhartha Bhattacharyya

    Publisher: Taylor & Francis Ltd
    Publication Date: 5/3/2023 12:00:00 AM
    ISBN13: 9781032393025, 978-1032393025
    ISBN10: 1032393025

    Description

    Book Synopsis

    Hybrid Computational Intelligent Systems Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.

    Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup. In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation.

    The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems.

    Features:

    • A

      Table of Contents

      Chapter 1

      Creating ratings of agricultural universities based on their digital footprint

      Chapter 2

      Mechatronic Complex’s Fuzzy System for Fixating Moving Objects

      Chapter 3

      Quad Sensor-based Soil-Moisture Prediction using Machine Learning

      Chapter 4

      Stability Analysis for a Diffusive Ratio-dependent Predator-prey Model involving two Delays

      Chapter 5

      Analysis and Prediction of Physical Fitness Test Data of College Students Based on Grey Model

      Chapter 6

      Analysis and Research on Book Borrowing Tendency Based on Apriori Algorithm

      Chapter 7

      Performance Evaluation of Cargo Inspection Systems with the Function of Materials Recognition

      Chapter 8

      Automated Medical Report Generation on Chest X-Ray Images using Co-Attention mechanism

      Chapter 9

      An Energy Efficient Secured Arduino based Home Automation using Android Interface

      Chapter 10

      A Multithreaded Android App to Notify Available `CoWIN’ Vaccination Slots to Multiple Recipients

      Chapter 11

      Binary MMBAIS for Feature Selection Problem

      Chapter 12

      Audio to Indian Sign Language Interpreter (AISLI) using Machine Translation and NLP Techniques

      Chapter 13

      Fragile Medical Image Watermarking using Auto-generated Adaptive Key based Encryption

      Chapter 14

      Designing of a Solution Model for Global Warming and Climate Change using Machine Learning and Data Engineering Techniques

      Chapter 15

      Human Age Estimation using sit-to-stand exercise Data-driven Decision Making by Neural Network

      Chapter 16

      Feature Based Suicide Ideation Detection from Twitter Data Using Machine Learning Techniques

      Chapter 17

      Analyzing the role of Indian Media during the second wave of COVID using Topic Modeling

      Chapter 18

      Hardware Efficient FIR Filter Design using Fast Converging Flower Pollination Algorithm - A Case Study of denoising PCG Signal

      Chapter 19

      Voice Recognition System Using Deep Learning

      Chapter 20

      Modified Harris Hawk Optimization Algorithm for Multi-level Image Thresholding

      Chapter 21

      An automatic probabilistic framework for detection and segmentation of tumor in brain MRI images

      Chapter 22

      Comparative Study of Generative Adversarial Networks for Sensor Data Generation based Remaining Useful Life Classification

      Chapter 23

      Towards a Framework for Implementation of Quantum-Inspired Evolutionary Algorithm on Noisy Intermediate Scale Quantum Devices (IBMQ) for Solving Knapsack Problems

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