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在“Elsevier电子期刊”中，命中：1,642条，耗时：0.022991 秒

在所有数据库中总计命中：3,483条

1.A fast hybrid multi-site computation offloading for mobile cloud computing

作者：Mohammad Goudarzi^a ; ^{mohammad_goudarzi@alumni.iust.ac.ir}Author Vitae ; Mehran Zamani^a ; ^{mehran_zamani@alumni.iust.ac.ir}Author Vitae ; Abolfazl Toroghi Haghighat^b ; ^{haghighat@qiau.ac.ir}Author Vitae

关键词：Mobile cloud computing ; Multi-site computation offloading ; Optimal partitioning ; Near-optimal partitioning ; Optimization

刊名：Journal of Network and Computer Applications

出版年：2017

2.Fuel consumption optimization for smart hybrid electric vehicle during a car-following process

作者：Liang Li ; Xiangyu Wang ; Jian Song ; ^{daesj@mail.tsinghua.edu.cn}

关键词：Smart hybrid electric vehicle ; Multi-objective optimal problem ; Fuel consumption optimization ; Car-following ; Model predictive control

刊名：Mechanical Systems and Signal Processing

出版年：2017

3.Job placement advisor based on turnaround predictions for HPC hybrid clouds

作者：Renato L.F. Cunha ; ^{renatoc@br.ibm.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Eduardo R. RodriguesAuthor Vitae ; Leonardo P. TizzeiAuthor Vitae ; Marco A.S. NettoAuthor Vitae

关键词：HPC ; Cloud computing ; Hybrid cloud ; Machine learning ; Advisory system ; Runtime and wait time predictions

刊名：Future Generation Computer Systems

出版年：2017

4.Computing the binding affinity of a ligand buried deep inside a protein with the hybrid steered molecular dynamics

作者：Oscar D. Villarreal^a ; ¹ ; Lili Yu^a ; ^b ; ¹ ; Roberto A. Rodriguez^a ; Liao Y. Chen^a ; ^{Liao.Chen@utsa.edu}

关键词：Binding affinity ; Retinol-binding protein ; Ligand-protein interaction ; T4-lysozyme mutants ; Molecular dynamics

刊名：Biochemical and Biophysical Research Communications

出版年：2017

5.On computing probabilities of dismissal of 10b-5 securities class-action cases

作者：Sumanta Singha ; ^{sumanta.singha@ku.edu}Author Vitae ; Steve Hillmer ^{hillmer@ku.edu}Author Vitae ; Prakash P. Shenoy ^{pshenoy@ku.edu}Author Vitae

关键词：Probability ; Logistic regression ; Naï ; ve Bayes ; Hybrid model ; 10b-5 securities class-action cases

刊名：Decision Support Systems

出版年：2017

6.Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm

作者：Vassilios I. Skoullis^a ; Ioannis X. Tassopoulos^b ; Grigorios N. Beligiannis^b ; ^{gbeligia@uwg.gr} ; ^{gbeligia@upatras.gr}

关键词：Cat swarm optimization ; Hybrid algorithm ; School timetabling problem ; Educational organization

刊名：Applied Soft Computing

出版年：2017

7.Summit-Training: A hybrid Semi-Supervised technique and its application to classification tasks

作者：L. Tencer ; ^{lukas.tencer@gmail.com} ; ; M. Reznakova ^{marta.reznakova@gmail.com} ; M. Cheriet ^{mohamed.cheriet@etsmtl.ca}

关键词：Hybrid methods ; Semi-supervised learning ; Classification ; Summit-Training ; Query-by-Committee ; Unlabeled data

刊名：Applied Soft Computing

出版年：2017

8.An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming

作者：Biao Zhang^a ; Quan-ke Pan^a ; ^{panquanke@shu.edu.cn} ; ^{2281393146@qq.com} ; Liang Gao^a ; Xin-li Zhang^b ; Hong-yan Sang^c ; Jun-qing Li^c

关键词：Scheduling problem ; Hybrid flowshop ; Lot streaming ; Meta-heuristics ; Migrating bird optimization

刊名：Applied Soft Computing

出版年：2017

9.Improved fault detection employing hybrid memetic fuzzy modeling and adaptive filters

作者：Francisco Serdio^a ; ^{francisco.serdio@jku.at} ; Edwin Lughofer^a ; ^{edwin.lughofer@jku.at} ; Alexandru-Ciprian Zavoianu^a ; ^{ciprian.zavoianu@jku.at} ; Kurt Pichler^b ; ^{kurt.pichler@lcm.at} ; Markus Pichler^b ; ^{markus.pichler@lcm.at} ; Thomas Buchegger^b ; ^{thomas.buchegger@lcm.at} ; Hajrudin Efendic^c ; ^{hajrudin.efendic@gmx.at}

关键词：Fault detection ; System identification ; Hybrid memetic fuzzy modeling ; GenSparseFIS ; Residual signals ; Adaptive filters ; Multi-sensor networks

刊名：Applied Soft Computing

出版年：2017

10.A new hybrid CG-GAs approach for high sensitive optimization problems: With application for parameters estimation of FG nanobeams

作者：A.R. Vosoughi ; ^{a.r.vosoughi@gmail.com} ; ^{vosoughi@shirazu.ac.ir} ; A. Darabi

关键词：A new hybrid optimization approach ; Conjugate gradient ; Genetic algorithms ; Parameters estimation ; Nanostructures

刊名：Applied Soft Computing

出版年：2017

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