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Proceedings of International Joint Conference on Computational Intelligence : IJCCI 2018 / edited by Mohammad Shorif Uddin, Jagdish Chand Bansal.

Contributor(s): Uddin, Mohammad Shorif [editor.] | Bansal, Jagdish Chand [editor.].
Material type: TextTextSeries: Algorithms for Intelligent Systems.Publisher: Singapore : Springer Nature, c2020Description: xiii, 749 pages ills. , figs., 25 cm.Subject(s): Engineering | Telecommunication | Technology & Engineering -- Telecommunications | Technology & Engineering -- Electronics -- General | Communications engineering / telecommunications | Imaging systems & technology | Computers -- Intelligence (AI) & Semantics | Artificial intelligenceDDC classification: 620
Contents:
Factorial Analysis of Biological Datasets.- Leveraging Machine Learning Approach to Setup Software Defined Network(SDN) Controller Rules During DDoS Attack.- Routing Protocol Selection for Intelligent Transport System (ITS) of VANET in High Mobility Areas of Bangladesh.- Computer-aided Speckle Noise Analysis in Ultrasound Images through Fusion of Convolutional Neural Network and Wavelet Transform with Linear Discriminate Analysis.- A Machine Learning Approach to Detect Diabetic Retinopathy using Convolutional Neural Network.- Issues of Internet of Things (IoT) and an Intrusion Detection System for IoT Using Machine Learning Paradigm.- D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients.- Initial Point Prediction based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images.- Vehicle Tracking & Monitoring System for Security Purpose Based on Thermo Electric Generator (TEG).- Developing a Technique for Overcoming the Searching Limitations of Documents.
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Factorial Analysis of Biological Datasets.- Leveraging Machine Learning Approach to Setup Software Defined Network(SDN) Controller Rules During DDoS Attack.- Routing Protocol Selection for Intelligent Transport System (ITS) of VANET in High Mobility Areas of Bangladesh.- Computer-aided Speckle Noise Analysis in Ultrasound Images through Fusion of Convolutional Neural Network and Wavelet Transform with Linear Discriminate Analysis.- A Machine Learning Approach to Detect Diabetic Retinopathy using Convolutional Neural Network.- Issues of Internet of Things (IoT) and an Intrusion Detection System for IoT Using Machine Learning Paradigm.- D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients.- Initial Point Prediction based Parametric Active Contour Model for Left Ventricle Segmentation of CMRI Images.- Vehicle Tracking & Monitoring System for Security Purpose Based on Thermo Electric Generator (TEG).- Developing a Technique for Overcoming the Searching Limitations of Documents.

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