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Emerging Trends and Advanced Technologies for Computational Intelligence : Extended and Selected Results from the Science and Information Conference 2015 - Liming Chen

Emerging Trends and Advanced Technologies for Computational Intelligence

Extended and Selected Results from the Science and Information Conference 2015

By: Liming Chen (Editor), Supriya Kapoor (Editor), Rahul Bhatia (Editor)

Hardcover | 15 June 2016

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A Plantar Inclinometer Based Approach to Fall Detection in Open Environments.- Using Fuzzy Evidential Reasoning for Multiple Assessment Fusion in Spondylarthropathic Patient Self-Management.- Rescue System with Sensor Network for Vital Sign Monitoring and Rescue Simulations by Taking into Account Triage with Measured Vital Signs.- An Approach for Detecting Traffic Events using Social Media.- Applying Supervised & Unsupervised Learning Techniques on Dental Patients' Records.- Technology in Primary Schools: Teachers' Perspective towards the Use of Mobile Technology in Children Education.- Designing, Implementing and Testing an Automated Trading Strategy Based on Dynamic Bayesian Networks, the Limit Order Book Information and the Random Entry Protocol.- An Adaptive Multi Agent Service Discovery for Peer to Peer Cloud Services.- Modelling and Detection of User Activity Patterns for Energy Saving in Buildings.- e QoS using PSO in Fixed WiMAX Networks.- Colour-Preserving Contrast Enhancement Algorithm for Images.- Sequential Pattern Discovery for Weather Prediction Problem.- A Class-based Strategy to User Behavior Modeling in Recommender Systems.- Feature Correspondence in Low Quality CCTV Videos.- Automatic Detection and Severity Assessment of Crop Diseases using Image Pattern Recognition.- Image Complexity and Visual Working Memory Capacity.- Immersive Brain Entrainment in Virtual Worlds: Actualizing Meditative States.- A Real-Time Stereo Vision Based Obstacle Detection.- Depth and Thermal Image Fusion for Human Detection with Occlusion Handling under Poor Illumination from Mobile Robot.- Exploiting the Retinal Vascular Geometry in Identifying the Progression to Diabetic Retinopathy Using Penalized Logistic Regression and Random Forests.- A New Method for Improving the Detection Capability of RADAR in the Presence of Noise.

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Published: 31st May 2018

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