Intelligent systems and applications : proceedings of the 2019 Intelligent Systems Conference (IntelliSys). Volume 2

Intelligent systems and applications : Volume 2 / proceedings of the 2019 Intelligent Systems Conference (IntelliSys). Yaxin Bi, Rahul Bhatia, Supriya Kapoor, editors.

The book presents a remarkable collection of chapters covering a wide range of topics in the areas of intelligent systems and artificial intelligence, and their real-world applications. It gathers the proceedings of the Intelligent Systems Conference 2019, which attracted a total of 546 submissions...

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Bibliographic Details
Corporate Author: SAI Intelligent Systems Conference London, England
Other Authors: Bi, Yaxin (Editor), Bhatia, Rahul (Editor), Kapoor, Supriya (Editor)
Format: eBook
Language:English
Published: Cham : Springer, [2020]
Series:Advances in intelligent systems and computing ; 1038.
Subjects:
Artificial intelligence > Congresses.
Artificial intelligence
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • A New Approach of Service Platform for Water Optimization in Lettuce Crops using Wireless Sensor Network.- A Novel AI based Optimization of Node Selection and Information Fusion in Cooperative Wireless Networks.- Using Automated State Space Planning for E#x82;ffective Management of Visual Information and Learner's Attention in Virtual Reality.- Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles using Raspberry Pi.- Analysing Data Set of the Bike-sharing System Demand with R Scripts: Mexico City Case.- Less-than-truckload Shipper Collaboration in the Physical Internet.- Automatic Curation System using Multimodal Analysis Approach (MAA).- Figurative Language Grounding in Humanoid Robots.- LIT: Rule based Italian Lemmatizer.- Combining Diffusion Processes for Semi-Supervised Learning on Graph Structured Data.- A Review of Continuous Blood Glucose Monitoring and Prediction of Blood Glucose Level for Diabetes Type 1 Patient in Different Prediction Horizons (PH) using Artificial Neural Network (ANN).- Ensemble Approach for Left Ventricle Segmentation.- Autonomous Robot Navigation with Signaling based on Objects Detection Techniques and Deep Learning Networks.- GMC: Grid Based Motion Clustering in Dynamic Environment.- A Machine Learning Approach for Classification of Tremor- a Neurological Movement Disorder.

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