001481109 000__ 06191cam\\22005537i\4500 001481109 001__ 1481109 001481109 003__ OCoLC 001481109 005__ 20231031003323.0 001481109 006__ m\\\\\o\\d\\\\\\\\ 001481109 007__ cr\cn\nnnunnun 001481109 008__ 230926s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001481109 020__ $$a9783031440847$$q(electronic bk.) 001481109 020__ $$a3031440846$$q(electronic bk.) 001481109 020__ $$z9783031440830 001481109 0247_ $$a10.1007/978-3-031-44084-7$$2doi 001481109 035__ $$aSP(OCoLC)1399539099 001481109 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dWSU 001481109 049__ $$aISEA 001481109 050_4 $$aQA76.9.D343 001481109 08204 $$a006.3/12$$223/eng/20230926 001481109 1112_ $$aMIKE (Conference)$$n(9th :$$d2023 :$$cKristiansand, Norway) 001481109 24510 $$aMining intelligence and knowledge exploration :$$b9th International Conference, MIKE 2023, Kristiansand, Norway, June 28–30, 2023, Proceedings /$$cSeifedine Kadry, Rajendra Prasath, editors. 001481109 24630 $$aMIKE 2023 001481109 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023] 001481109 300__ $$a1 online resource (xiv, 426 pages) :$$billustrations (some color) 001481109 336__ $$atext$$btxt$$2rdacontent 001481109 337__ $$acomputer$$bc$$2rdamedia 001481109 338__ $$aonline resource$$bcr$$2rdacarrier 001481109 4901_ $$aLecture Notes in Artificial Intelligence ;$$v13924 001481109 4901_ $$aLecture notes in computer science 001481109 500__ $$aIncludes author index. 001481109 5050_ $$aMultimodal 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 Pediatric Pneumonia 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 Parkinson’s Disease -- Hybrid Optimal Fine Tuning Approach in Deep Learning for Identifying Early Parkinson’s 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 using Deep 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 Student’s Performance Based on Psychological and Behavioral Data -- Task Scheduling based Optimized Based Algorithm for Minimization of Energy Consumption in Cloud Computing Environment. 001481109 506__ $$aAccess limited to authorized users. 001481109 520__ $$aThis 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 28–30, 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. . 001481109 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2023). 001481109 650_0 $$aData mining$$vCongresses.$$vCongresses$$0(DLC)sh2008102035 001481109 655_0 $$aElectronic books. 001481109 655_7 $$aConference papers and proceedings.$$2lcgft 001481109 7001_ $$aKadry, Seifedine,$$d1977-$$eeditor. 001481109 7001_ $$aPrasath, Rajendra,$$eeditor. 001481109 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence ;$$v13924. 001481109 852__ $$bebk 001481109 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44084-7$$zOnline Access$$91397441.1 001481109 909CO $$ooai:library.usi.edu:1481109$$pGLOBAL_SET 001481109 980__ $$aBIB 001481109 980__ $$aEBOOK 001481109 982__ $$aEbook 001481109 983__ $$aOnline 001481109 994__ $$a92$$bISE