Titlebook: Computational Science – ICCS 2019; 19th International C Jo?o M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

corrode

書目名稱Computational Science – ICCS 2019影響因子(影響力)




書目名稱Computational Science – ICCS 2019影響因子(影響力)學(xué)科排名




書目名稱Computational Science – ICCS 2019網(wǎng)絡(luò)公開度




書目名稱Computational Science – ICCS 2019網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Science – ICCS 2019被引頻次




書目名稱Computational Science – ICCS 2019被引頻次學(xué)科排名




書目名稱Computational Science – ICCS 2019年度引用




書目名稱Computational Science – ICCS 2019年度引用學(xué)科排名




書目名稱Computational Science – ICCS 2019讀者反饋




書目名稱Computational Science – ICCS 2019讀者反饋學(xué)科排名

不規(guī)則的跳動(dòng)

Karembe F. Ahimbisibwe,Tiina Kontinene triggered by this transformation is performed based on the instance hardness (IH) measure. Also, the paper reports on how this better understanding can lead to better use of the data through a prototype selection technique.

發(fā)出眩目光芒

Brocas-Area

AIL

Manifest

Manifest

Conference proceedings‘‘‘‘‘‘‘‘ 2020r in high performance computing servers. The fastest versions have been obtained carrying out most of the computations in Graphics Processing Units (GPUs). The algorithms obtained have been tested in a case of automatic classification of electroencephalographic signals from patients.

宿醉

Xuan Lam Nguyen,Kaliappa Kalirajanwledge from experimental proteins through the use of protein contact maps. Obtained results regarding measures of structural similarity indicate that our approaches surpassed their previous ones, showing the real need to adapt the method to tackle the problem’s complexities.

Predigest

Parallelization of an Algorithm for Automatic Classification of Medical Datar in high performance computing servers. The fastest versions have been obtained carrying out most of the computations in Graphics Processing Units (GPUs). The algorithms obtained have been tested in a case of automatic classification of electroencephalographic signals from patients.

Anthropoid

A Multi-objective Swarm-Based Algorithm for the Prediction of Protein Structureswledge from experimental proteins through the use of protein contact maps. Obtained results regarding measures of structural similarity indicate that our approaches surpassed their previous ones, showing the real need to adapt the method to tackle the problem’s complexities.