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El. knyga: Mining Intelligence and Knowledge Exploration: 9th International Conference, MIKE 2023, Kristiansand, Norway, June 28-30, 2023, Proceedings

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This book constitutes the refereed post-conference proceedings of the 9th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2023, held in Kristiansand, Norway, during June 2830, 2023.





The 22 full papers and 16 short papers included in this book were carefully reviewed and selected from 87 submissions. They were grouped into various subtopics including Knowledge Exploration in IoT, Medical Informatics, Machine Learning, Text Mining, Natural Language Processing, Cryptocurrency and Blockchain, Application of Artificial Intelligence, and other areas. 
Multimodal Body Sensor for Recognizing the Human Activity using DMOA
Based FS With DL.- Detection of Chicken Disease based on Day-Age using
Pre-trained Model of CNN.- Image Captioning using Xception-Long Short-Term
Memory.- Performance Analysis of Different Classifiers using HOG and LBP for
Traffic Sign Detection.- Classification of the Class Imbalanced Data Using
Mahalanobis Distance With Feature Filtering.- Towards Data-Centric Approaches
to Lung Cancer Classification.- Automatic Detection of Waterbodies from
Satellite Images Using DeepLabV3+.- Topic Classification of Text-Based Lesson
Questions In Turkish with Berturk.- Highest Accuracy based Automated
Depression Prediction using Natural Language Processing.- Crime Prediction
using Modified Capsule Network with CrissCross Optimization on the Sentiment
Analysis for Cyber-Security.- Sentiment Analysis using Lexical Approach and
Fuzzy Logic.- HTTP, WebSocket, and SignalR: A Comparison of Real-Time Online
Communication Protocols.- An IoT based Early Alert System to monitor and
reduce Electrical Energy Consumption at Home in Smart Cities.- Securing the
MANET by detecting the Flooding Attacks using Hybrid CNN-Bi-LSTM-RF
Model.- The Smart Coverage Path Planner for Autonomous Drones Using TSP and
Tree Selection.- UAV Smart Navigation: Combining Delaunay Triangulation and
the Bat Algorithm for Enhanced Efficiency.- A Comparative Analysis of Data
Backup and Network Consistency in Cluster-Base Wireless Sensor Network
Protocols.- Development of IoT-Healthcare Model for Gastric Cancer from
Pathological Images.- Glaucoma Detection using Yolo V5 Algorithm.- Glaucoma
Detection using Yolo V5 Algorithm.- Efficient Chest X-Ray Investigation using
Firefly Algorithm Optimized Deep and Handcrafted Features.- Disease Risks
Prediction Based Web Application using Machine Learning.- Weighted Average
Ensemble Approach for PediatricPneumonia Diagnosis using Channel Attention
Deep CNN Architecture.- Seasonal Disease based Demand Forecasting for
Pharmaceutical Medications using Random Forest.- Hybrid Optimal Fine Tuning
Approach in Deep Learning for Identifying Early Parkinsons Disease.- Hybrid
Optimal Fine Tuning Approach in Deep Learning for Identifying Early
Parkinsons Disease.- Ensemble Learning Based Social Engineering Fraud
Detection Module for Cryptocurrency Transactions.- Analysis and Prediction of
Crypto Currency using Deep Learning Algorithm.- Detecting the Attacks using
Blockchain-Based Decentralized Security Architecture in IoT
Environment.- Developing a system based on Block Chain Technology for
E-Voting Mechanism.- A Permissioned Blockchain Approach for Real-Time
Embedded Control Systems.- An Empirical Study of Machine Learning for
Business Enterprises Management of Cloud Computing Services.- Prediction of
Stock Market in Small-Scale Business usingDeep Learning
Techniques.- Predictive Intelligence based Semiconductor Substrate Fault
Detection Model with User Interface.- Improving Sustainability with Deep
Learning Models for Inland Water Quality Monitoring using Satellite
Imagery.- Machine Learning Based Prediction of Students Performance Based on
Psychological and Behavioral Data.- Task Scheduling based Optimized Based
Algorithm for Minimization of Energy Consumption in Cloud Computing
Environment.