Titlebook: Hybrid Intelligent Systems; 20th International C Ajith Abraham,Thomas Hanne,Tzung-Pei Hong Conference proceedings 2021 The Editor(s) (if ap

Motion

書(shū)目名稱Hybrid Intelligent Systems影響因子(影響力)




書(shū)目名稱Hybrid Intelligent Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱Hybrid Intelligent Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Hybrid Intelligent Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Hybrid Intelligent Systems被引頻次




書(shū)目名稱Hybrid Intelligent Systems被引頻次學(xué)科排名




書(shū)目名稱Hybrid Intelligent Systems年度引用




書(shū)目名稱Hybrid Intelligent Systems年度引用學(xué)科排名




書(shū)目名稱Hybrid Intelligent Systems讀者反饋




書(shū)目名稱Hybrid Intelligent Systems讀者反饋學(xué)科排名

OUTRE

混合,攙雜

雪上輕舟飛過(guò)

BRIDE

Deep Convolutional Neural Network Based on Wavelet Transform for Super Image Resolution, is fed with only the approximated image while dismissing their details in order to remove noise. To validate the effectiveness of the proposed method, extensive experiments are performed using Set5, Set14, and urban 100 datasets. The obtained results demonstrated the efficiency of the proposed approach.

Ventricle

Building IoT Analytics and Machine Learning with Open Source Software for Prediction of Environmentronmental parameters. We also implement data pipeline to serve machine learning model training as well as prediction. Initial prediction results for the ambient temperature parameter based on machine learning models and built-in IoT platforms can continue to be developed for many other environmental parameters.

豪華

外來(lái)

Solving Dynamic Bag-of-Tasks Scheduling Problem in Heterogeneous Multi-cloud Environment Using Hybrdel aims to minimize the makespan and the execution cost while taking into consideration budget constraints and guaranteeing load balancing between Cloud’s Virtual Machines. By performing experiments on synthetic data sets that we propose, we demonstrate the effectiveness of the algorithm.

dendrites

沖擊力