Artificial Intelligence Techniques in IoT Sensor Networks - Artificial Intelligence Techniques in IoT Sensor Networks -

Adaptive Regularized Gaussian Kernel FCM for the Segmentation of Medical Images: An Artificial Intelligence-Based IoT Implementation for Teleradiology Network INTRODUCTION PROPOSED METHODOLOGY Fuzzy С-Means Clustering Formulation of Nonlinear Tensor Diffusion Filtered Image. Improved Adaptive Regularized Kernel FCM RESULTS AND DISCUSSION CONCLUSION ACKNOWLEDGMENTS REFERENCES Artificial Intelligence-Based Fuzzy Logic with Modified Particle Swarm Optimization Algorithm for Internet of Things-Enabled Logistic Transportation Planning INTRODUCTION RELATED WORKS PROPOSED METHOD Package Partitioning Planning of Delivery Path Using HFMPSO Algorithm Inserting Pickup Packages EXPERIMENTAL VALIDATION Performance Analysis under Varying Package Count Performance Analysis under Varying Vehicle Capacities Computation Time (CT) analysis CONCLUSION ACKNOWLEDGMENT REFERENCES Butterfly Optimization-Based Feature Selection with Gradient Boosting Tree for Big Data Analytics in Social Internet of Things INTRODUCTION RELATED WORKS THE PROPOSED METHOD Hadoop Ecosystem BOA-Based FS Process GBT-Based Classification EXPERIMENTAL ANALYSIS FS Results Analysis Classification Results Analysis Energy Consumption Analysis Throughput Analysis CONCLUSION REFERENCES An Energy-Efficient Fuzzy Logic-Based Clustering with Data Aggregation Protocol for WSN-Assisted IoT System INTRODUCTION BACKGROUND INFORMATION Clustering Objective Clustering Characteristics PROPOSED FUZZY-BASED CLUSTERING AND DATA AGGREGATION (FC-DR) PROTOCOL Fuzzy-Based Clustering Process Data Aggregation Process PERFORMANCE VALIDATION CONCLUSION REFERENCES Analysis of Smart Home Recommendation System from Natural Language Processing Services with Clustering Technique INTRODUCTION REVIEW OF LITERATURES SMART HOME: CLOUD BACKEND SERVICES OUR PROPOSED APPROACH Natural Language Processing Services Pipeline Structure for NLPS Stop Word Removal by Recommendation Systems Word Modeling Procedure Clustering Model RESULTS AND ANALYSIS Comparative Analysis of NLPS CONCLUSION REFERENCES Metaheuristic-Based Kernel Extreme Learning Machine Model for Disease Diagnosis in Industrial Internet of Things Sensor Networks INTRODUCTION PROPOSED METHODOLOGY Deflate-Based Compression Model SMO-KELM-Based Diagnosis Model Key Steps of SMO Algorithm Implementation EXPERIMENTAL RESULTS AND VALIDATION CONCLUSION REFERENCES Fuzzy Support Vector Machine with SMOTE for Handling Class Imbalanced Data in IoT-Based Cloud Environment INTRODUCTION THE PROPOSED MODEL SMOTE Model FSVM-Based Classification Model SIMULATION RESULTS AND DISCUSSION CONCLUSION REFERENCES Energy-Efficient Unequal Clustering Algorithm Using Hybridization of Social Spider with Krill Herd in IoT-Assisted Wireless Sensor Networks INTRODUCTION RESEARCH BACKGROUND LITERATURE SURVEY THE PROPOSED SS-KH ALGORITHM SS-Based TCH Selection KH-Based FCH Algorithm EXPERIMENTAL VALIDATION Implementation Setup Performance Analysis Comparative Study on Energy Efficiency Analysis Comparative Study on Network Lifetime Analysis in Terms of Alive Nodes CONCLUSION REFERENCES loT Sensor Networks with 5G-Enabled Faster RCNN-Based Generative Adversarial Network Model for Face Sketch Synthesis INTRODUCTION THE PROPOSED FRCNN-GAN MODEL Data Collection Faster R-CNN-Based Face Recognition GAN-Based Synthesis Process PERFORMANCE VALIDATION CONCLUSION ACKNOWLEDGMENT REFERENCES Artificial Intelligence-Based Textual Cyberbullying Detection for Twitter Data Analysis in Cloud-Based Internet of Things INTRODUCTION LITERATURE REVIEW PROPOSED METHODOLOGY Preprocessing Feature Extraction Feature Selection Using Ranking Method Cyberbully Detection Dataset Description RESULT AND DISCUSSION_Evaluation Metrics Comparative Analysis CONCLUSION REFERENCES An Energy-Efficient Quasi-Oppositional Krill Herd Algorithm-Based Clustering Protocol for Internet of Things Sensor Networks INTRODUCTION THE PROPOSED CLUSTERING ALGORITHM_PERFORMANCE VALIDATION CONCLUSION REFERENCES An Effective Social Internet of Things (SIoT) Model for Malicious Node Detection in Wireless Sensor Networks INTRODUCTION REVIEW OF RECENT KINDS OF LITERATURE NETWORK MODEL: SloT Malicious Attacker Model in SIoT PROPOSED MN IN SloT SYSTEM Trust-Based Grouping in SloT Network Exponential Kernel Model for MN Detection Detection Model RESULTS AND ANALYSIS CONCLUSION REFERENCES