Machine Intelligence and Smart Systems

Table of Contents

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   Book Overview
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   Chapter 1 Artificial Intelligence Aided Neurodevelopmental Disorders Diagnosis: Techniques Revisited
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   Chapter 2 Deep Learning Implementation for Dark Matter Particle Detection
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   Chapter 3 Augmentation of Handwritten Devanagari Character Dataset Using DCGAN
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   Chapter 4 Deep Reinforcement Learning for Optimal Traffic Control
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   Chapter 5 Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint Tweets
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   Chapter 6 Underwater Image Enhancement Using Fusion Stretch Method
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   Chapter 7 A Novel Approach for Semantic Microservices Description and Discovery Toward Smarter Applications
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   Chapter 8 Comparative Analysis of Machine Learning Algorithms for Imbalance Data Set Using Principle Component Analysis
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    Chapter 9 Application of Reinforcement Learning in Control Systems for Designing Controllers
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    Chapter 10 Classifying Skin Cancer Images Based on Machine Learning Algorithms and a CNN Model
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    Chapter 11 Lossless Data Compression Method Using Deep Learning
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    Chapter 12 Comparative Study on Different Classification Models for Customer Churn Problem
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    Chapter 13 An E-healthcare System Using IoT and Edge Computing
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    Chapter 14 Autism Detection Using Machine Learning Approach: A Review
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    Chapter 15 Double-Image Encryption Through Compressive Sensing and Discrete Cosine Stockwell Transform
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    Chapter 16 A Hybrid Deep Learning Model for Human Activity Recognition Using Wearable Sensors
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    Chapter 17 Detection of Diabetic Retinopathy Using Deep Learning-Based Framework
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    Chapter 18 Multiclass Image Classification Using OAA-SVM
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    Chapter 19 Deep Learning-Based Differential Distinguisher for Lightweight Ciphers GIFT-64 and PRIDE
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    Chapter 20 COVID-19 Detection Using Chest X-rays: CNN as a Classifier Versus CNN as a Feature Extractor
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    Chapter 21 Fuzzy Set-Based Frequent Itemset Mining: An Alternative Approach to Study Consumer Behaviour
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    Chapter 22 EEG Seizure Detection Using SVM Classifier and Genetic Algorithm
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    Chapter 23 Colorization of Grayscale Images Using Convolutional Neural Network and Siamese Network
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    Chapter 24 Modelling and Visualisation of Traffic Accidents in Botswana Using Data Mining
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    Chapter 25 EPM: Meta-learning Method for Remote Sensing Image Classification
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    Chapter 26 Collaborative Network Security for Virtual Machine in Cloud Computing for Multi-tenant Data Center
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    Chapter 27 Binary Classification of Toxic Comments on Imbalanced Datasets Using Recurrent Neural Networks
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    Chapter 28 Robust Object Detection and Tracking in Flood Surveillance Videos
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    Chapter 29 Anti-drug Response Prediction: A Review of the Different Supervised and Unsupervised Learning Approaches
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    Chapter 30 An Highly Robust Image Forgery Detection Using STPPL-HBCNN and Region Detection Using DBSCAN-ACYOLOv2 Technique
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    Chapter 31 Deep Learning-Based Differential Distinguisher for Lightweight Cipher GIFT-COFB
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    Chapter 32 Dementia Detection Using Bi-LSTM and 1D CNN Model
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    Chapter 33 PairNet: A Deep Learning-Based Object Detection and Segmentation System
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    Chapter 34 Analysis of Electrocardiogram Signal Using Fuzzy Inference Evaluation System
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    Chapter 35 Optical Flow Video Frame Interpolation Based MRI Super-Resolution
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    Chapter 36 An Efficient Hybrid Recommendation Model with Deep Neural Networks
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    Chapter 37 Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition
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    Chapter 38 A Machine Learning Approach for Automated Irrigation Management System
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    Chapter 39 Deepfake Images, Videos Generation, and Detection Techniques Using Deep Learning
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    Chapter 40 Retinal Image Enhancement Using Hybrid Approach
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    Chapter 41 Prediction of Mental Stress Level Based on Machine Learning
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    Chapter 42 Data Distribution in Reliable and Secure Distributed Cloud Environment Using Hash-Solomon Code
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    Chapter 43 A Novel Classification of Cancer Based on Tumor RNA-Sequence (RNA-Seq) Gene Expression