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Machine Intelligence for Research and Innovations

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Cover of 'Machine Intelligence for Research and Innovations'

Table of Contents

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    Book Overview
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    Chapter 1 A Simple Algorithm to Secure Data Dissemination in Wireless Sensor Network
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    Chapter 2 Analysis of Pollard Rho Attacks Over ECDLP
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    Chapter 3 Modelling Networks with Attached Storage Using Perfect Italian Domination
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    Chapter 4 Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network
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    Chapter 5 Automated Tool for Toxic Comments Identification on Live Streaming YouTube
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    Chapter 6 Directional Edge Coding for Facial Expression Recognition System
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    Chapter 7 A Cascaded 2DOF-PID Control Technique for Drug Scheduling of Chemotherapy System
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    Chapter 8 Distinguishing the Symptoms of Depression and Associated Symptoms by Using Machine Learning Approach
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    Chapter 9 Harnessing the Power of Machine Learning Algorithms for Landslide Susceptibility Prediction
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    Chapter 10 The Effectiveness of GPT-4 as Financial News Annotator Versus Human Annotator in Improving the Accuracy and Performance of Sentiment Analysis
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    Chapter 11 Machine Learning Method for Analyzing and Predicting Cardiovascular Disease
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    Chapter 12 Rule-Based Learner Competencies Predictor System
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    Chapter 13 Exploring the Relationship Between Digital Engagement and Cybersecurity Practices Among College Students: A Survey Study
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    Chapter 14 Secure and Energy Efficient Routing in VANETs Using Nature Inspired Hybrid Optimization
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    Chapter 15 Performance Evaluation of Machine Learning Models for Intrusion Detection in Wireless Sensor Networks: A Case Study Using the WSN DS Dataset
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    Chapter 16 Arduino Controlled 3D Object Scanner and Image Classification
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    Chapter 17 Anomaly Detection for IoT-Enabled Kitchen Area Network Using Machine Learning
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    Chapter 18 Character-Level Bidirectional Sign Language Translation Using Machine Learning Algorithms
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    Chapter 19 Enhancing Performance of Noise-Robust Gujarati Language ASR Utilizing the Hybrid Acoustic Model and Combined MFCC + GTCC Feature
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    Chapter 20 Random Forest (RF) Assisted and Support Vector Machine (SVM) Algorithms for Performance Evaluation of EDM Interpretation
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    Chapter 21 COVID-19 Classification of CT Lung Images Using Intelligent Wolf Optimization Based Deep Convolutional Neural Network
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    Chapter 22 Parallelization of Molecular Dynamics Simulations Using Verlet Algorithm and OpenMP
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    Chapter 23 Prediction of HDFC Bank Stock Price Using Machine Learning Techniques
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    Chapter 24 Real-Time Applicability Analysis of Lightweight Models on Jetson Nano Using TensorFlow-Lite
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    Chapter 25 An Efficient Fog Computing Platform Through Genetic Algorithm-Based Scheduling
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    Chapter 26 Development of a Pixhawk-Based Quadcopter: A Bottom-Up Approach
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    Chapter 27 Inattentive Driver Identification Smart System (IDISS)
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    Chapter 28 Convolutional Neural Network in Deep Learning for Object Tracking: A Review
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Title
Machine Intelligence for Research and Innovations
Published by
Springer Nature Singapore, February 2024
DOI 10.1007/978-981-99-8129-8
ISBNs
978-9-81-998128-1, 978-9-81-998129-8
Editors

Verma, Om Prakash, Wang, Lipo, Kumar, Rajesh, Yadav, Anupam

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