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

This book focuses on emerging trends and advanced technologies for computation intelligence. The table of contents lists the chapter titles as: 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 and 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; A New Architecture to Guarantee 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; and A New Method for Improving the Detection Capability of RADAR in the Presence of Noise.


  • English

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  • Accession Number: 01627031
  • Record Type: Publication
  • ISBN: 9783319333519
  • Files: TRIS
  • Created Date: Feb 27 2017 9:38AM