Chen / Bhatia / Kapoor | Emerging Trends and Advanced Technologies for Computational Intelligence | Buch | 978-3-319-33351-9 | sack.de

Buch, Englisch, Band 647, 414 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 7568 g

Reihe: Studies in Computational Intelligence

Chen / Bhatia / Kapoor

Emerging Trends and Advanced Technologies for Computational Intelligence

Extended and Selected Results from the Science and Information Conference 2015
1. Auflage 2016
ISBN: 978-3-319-33351-9
Verlag: Springer International Publishing

Extended and Selected Results from the Science and Information Conference 2015

Buch, Englisch, Band 647, 414 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 7568 g

Reihe: Studies in Computational Intelligence

ISBN: 978-3-319-33351-9
Verlag: Springer International Publishing


This book is a collection of extended chapters from the selected papers that were published in the proceedings of Science and Information (SAI) Conference 2015. It contains twenty-one chapters in the field of Computational Intelligence, which received highly recommended feedback during SAI Conference 2015 review process. During the three-day event 260 scientists, technology developers, young researcher including PhD students, and industrial practitioners from 56 countries have engaged intensively in presentations, demonstrations, open panel sessions and informal discussions. 

Chen / Bhatia / Kapoor Emerging Trends and Advanced Technologies for Computational Intelligence jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


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 WiMAXNetworks.- 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 ofNoise.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.