책 이미지

책 정보
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 엔지니어링
· ISBN : 9780367439255
· 쪽수 : 221쪽
· 출판일 : 2020-12-29
목차
Preface Chapter 1 Adaptive Regularized Gaussian Kernel FCM for the Segmentation of Medical Images ? An Artificial Intelligence Based IoT Implementation for Teleradiology Network ? 1.1 Introduction 1.2 Proposed Methodology ??????????? 1.2.1 Fuzzy C Means Clustering 1.3 Results and Discussion 1.4 Conclusion References Chapter 2 Artificial Intelligence Based Fuzzy Logic with Modified Particle Swarm Optimization Algorithm for Internet of Things Enabled Logistic Transportation Planning ? 2.1. Introduction 2.2. Related works 2.3. Proposed Method ??????????? 2.3.1. Package Partitioning ??????????? 2.3.2. Planning of delivery path using HFMPSO algorithm ??????????? 2.3.3. Inserting Pickup Packages 2.4. Experimental Validation ??????????? 2.4.1. Performance analysis under varying package count ??????????? 2.4.2. Performance analysis under varying vehicle capacities ??????????? 2.4.3. Computation Time (CT) analysis 2.5. Conclusion References ? Chapter 3 Butterfly Optimization based Feature Selection with Gradient Boosting Tree for Big Data Analytics in Social Internet of Things ? 3.1. Introduction 3.2. Related works 3.3. The Proposed Method ????????? 3.3.1. Hadoop Ecosystem ????????? 3.3.2. BOA based FS process ????????? 3.3.3. GBT based Classification 3.4. Experimental Analysis ????????? 3.4.1. FS Results analysis ????????? 3.4.2. Classification Results Analysis ????????? 3.4.3. Energy Consumption Analysis ????????? 3.4.4. Throughput Analysis 3.5. Conclusion References Chapter 4 An Energy Efficient Fuzzy Logic based Clustering with Data Aggregation Protocol for WSN assisted IoT system ? 4. 1. Introduction 4. 2. Background Information ????????? 4. 2.1. Clustering objective ????????? 4. 2. 2. Clustering characteristics 4. 3. Proposed Fuzzy based Clustering and Data Aggregation (FC-DR) ????????? protocol ????????? 4. 3. 1. Fuzzy based Clustering process ????????? 4. 3. 2. Data aggregation process ????????? 4. 4. Performance Validation 4. 5. Conclusion References Chapter 5 Analysis of Smart Home Recommendation system from Natural Language Processing Services with Clustering Technique ? 5. 1. Introduction 5. 2. Review of Literatures 5. 3. Smart Home- Cloud Backend Services ????????? 5. 3.1 Internet of Things (IoT) 5. 4. Our Proposed Approach ????????? 5. 4.1 Natural Language Processing Services (NLPS) ????????? 5. 4. 2 Pipeline Structure for NLPS ????????? 5. 4. 3 Clustering Model 5. 5. Results and analysis 5. 6. Conclusion References Chapter 6 Metaheuristic based Kernel Extreme Learning Machine Model for Disease Diagnosis in Industrial Internet of Things Sensor Networks ? 6. 1. Introduction 6. 2. Proposed Methodology ????????? ?6. 2. 1. Deflate based Compression Model ????????? ?6. 2. 2. SMO-KELM based Diagnosis Model 6. 3. Experimental results and validation 6. 4. Conclusion References Chapter 7 Fuzzy Support Vector Machine with SMOTE for Handling Class Imbalanced Data in IoT Based Cloud Environment ? 7. 1. Introduction 7. 2. The Proposed Model ????????? 7. 2.1. SMOTE Model ????????? 7. 2.2. FSVM based Classification Model 7. 3. Simulation Results and Discussion 7. 4. Conclusion References Chapter 8 Energy Efficient Unequal Clustering Algorithm using Hybridization of Social Spider with Krill Herd in IoT Assisted Wireless Sensor Networks ? 8. 1. Introduction 8. 2. Research Background 8. 3. Literature survey 8. 4. The proposed SS-KH algorithm ????????? 8. 4. 1. SS based TCH selection ????????? 8. 4. 2. KH based FCH algorithm 8. 5. Experimental validation ????????? 8. 5. 1 Implementation setup ????????? 8. 5. 2. Performance analysis 8. 6. Conclusion References Chapter 9 IoT Sensor Networks with 5G Enabled Faster RCNN Based Generative Adversarial Network Model for Face Sketch Synthesis ? 9. 1. Introduction 9. 2. The Proposed FRCNN-GAN Model ????????? 9. 2.1. Data Collection ????????? 9. 2.2. Faster R-CNN based Face Recognition ????????? 9. 2.3. GAN based Synthesis Process 9. 3. Performance Validation 9. 4. Conclusion References Chapter 10 Artificial Intelligence based Textual Cyberbullying Detection for Twitter Data Analysis in Cloud-based Internet of Things ? 10. 1. Introduction 10. 2. Literature review 10. 3. Proposed Methodology ????????? 10. 3.1. Preprocessing ????????? 10. 3.2. Feature extraction ????????? 10. 3.3. Feature selection using ranking method ????????? 10. 3.4. Cyberbully detection ????????? 10. 3.5. Dataset Description 10. 4. Result and discussion ????????? 10. 4.1. Evaluation Metrics ????????? 10. 4.2. Comparative analysis 10. 5. Conclusion References Chapter 11 An Energy Efficient Quasi Oppositional Krill Herd Algorithm based Clustering Protocol for Internet of Things Sensor Networks ? 11. 1. Introduction 11. 2. The Proposed Clustering algorithm 11. 3. Performance Validation 11. 4. Conclusion References Chapter 12 An effective Social Internet of Things (SIoT) Model for Malicious node detection in wireless sensor networks ? 12. 1. Introduction 12. 2. Review of Recent Kinds of literature 12. 3. Network Model: SIoT 12. 3.1 Malicious Attacker Model in SIoT 12. 4. Proposed MN in SIoT System 12. 4.1 Trust based Grouping in SIoT network 12. 4.2 Exponential Kernel Model for MN detection 12. 4.3.1 Example of Proposed Detection System 12. 4.4 Detection Model 12. 5. Results and analysis 12. 6. Conclusion References Chapter 13 IoT Based Automated Skin Lesion Detection and Classification using Grey Wolf Optimization with Deep Neural Network ? 13. 1. Introduction 13. 2. The Proposed GWO-DNN Model ????????? 13. 2.1. Feature Extraction ????????? 13. 2.2. DNN based classification 13. 3. Experimental Validation 13. 4. Conclusion References Index ?