Titlebook: Intelligent Systems and Applications; Extended and Selecte Yaxin Bi,Supriya Kapoor,Rahul Bhatia Conference proceedings 2018 Springer Intern

無關(guān)緊要

A Novel Approach for Time Series Forecasting with Multiobjective Clonal Selection Optimization and t, the main principals of the forecasting models (FM) on the base of the strictly binary trees (SBT) and the modified clonal selection algorithm (MCSA) have been discussed. Herewith, it is suggested, that the principles of the FMs on the base of the SBT can be applied to creation the multi-factor FM

為敵

,,Tool—Augmented Reality Human-Machine Interface for Machining Setup and Maintenance,ly to setup and preparation of machines. The setup of a milling machine is an operation that requires time and may bring to errors that can be catastrophic. In this Chapter, the .Tool?Augmented Reality framework for machine tool operations is presented. The framework permits to write and debug part-

Gossamer

表被動

lactic

,The CaMeLi Framework—A Multimodal Virtual Companion for Older Adults,ersational agent system which simulates human-like affective behaviour and acts as a companion for older adults living alone at home. The agent employs synthetic speech, gaze, facial expressions, and gestures to support multimodal natural interaction with its users and assists them in a number of da

Gum-Disease

Emotional Domotics: Inhabitable Home Automation System for Emotion Modulation Through Facial Analysed. The experimental results led to the finding of the emotional response time dynamics. Such dynamics are important for future design and implementation of the control loops in-house automation systems for emotion modulation. Throughout this document, the details and progress of the research in emo

watertight,

Measuring Behavioural Change of Players in Public Goods Game,onomists to be able to measure players’ strategy changes over time which can be considered as concept drift. In this study, we present a method for measuring changes in items’ cluster membership in temporal data. The method consists of three steps in the first step, the temporal data will be transfo

Anthology

Object Segmentation for Vehicle Video and Dental CBCT by Neuromorphic Convolutional Recurrent Neuraious environments. With the emerging interests on transportation safety enhancement of Advanced Driver Assistance System or a driverless car, the neuromorphic convolutional recurrent neural networks was proposed and tested for the night-time vehicle or VRU detection. The effectiveness of proposed co

沖擊力

Weighted Multi-resource Minority Games,over, the need for distributed resource allocation is increasing at a high pace and multi-agent systems are known to be suitable to deal with these problems. In this chapter, we investigate the presence of multiple resources in minority games where each resource can be given a weight (importance). I

aquatic

M2M Routing Protocol for Energy Efficient and Delay Constrained in IoT Based on an Adaptive Sleep Mwever, the need for a wireless platform to control and monitor these M2M networks, one with both a vast coverage area and a low network deployment cost, continues to be unmet. Wireless Sensor Networks (WSNs) with energy efficiency routing protocols in M2M environments are emerging to meet the challe