Titlebook: Applied Reconfigurable Computing; 12th International S Vanderlei Bonato,Christos Bouganis,Marek Gorgon Conference proceedings 2016 Springer

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書目名稱Applied Reconfigurable Computing影響因子(影響力)




書目名稱Applied Reconfigurable Computing影響因子(影響力)學(xué)科排名




書目名稱Applied Reconfigurable Computing網(wǎng)絡(luò)公開度




書目名稱Applied Reconfigurable Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Applied Reconfigurable Computing被引頻次




書目名稱Applied Reconfigurable Computing被引頻次學(xué)科排名




書目名稱Applied Reconfigurable Computing年度引用




書目名稱Applied Reconfigurable Computing年度引用學(xué)科排名




書目名稱Applied Reconfigurable Computing讀者反饋




書目名稱Applied Reconfigurable Computing讀者反饋學(xué)科排名

arcane

EEG Feature Extraction Accelerator Enabling Long Term Epilepsy Monitoring Based on Ultra Low Power Wre detection is based upon specific EEG feature vectors representing just?~5?% of the total amount of raw data. In that respect, this paper presents the design, implementation and evaluation of a novel EEG feature vector extraction hardware accelerator module. The validity of the module’s functional

服從

Computing to the Limit with Heterogeneous CPU-FPGA Devices in a Video Fusion Applicationby approximately 70?% with an equivalent performance level. This results in an energy proportional computing system in which only the energy required to maintain a required level of performance is used.

reflection

HUSH

A Comparison of Machine Learning Classifiers for FPGA Implementation of HOG-Based Human Detectiont achieves a slightly better throughput on an FPGA, taking an advantage of parallel processing. For the detection accuracy, the AdaBoost designs are better than the SVM designs when the same number of training data is utilized. As regards the embedded use with low power requirements, the AdaBoost ap

Archipelago

Environmental Law and Economicsigh flexibility and energy efficiency. VINEYARD will foster the expansion of the soft-IP core industry, currently limited in the embedded systems, to the data-centre market. VINEYARD plans to demonstrate the advantages of its approach in three real use-cases (a) a bio-informatics application for hig

披肩

Mingle

Property Law and the Environment,by approximately 70?% with an equivalent performance level. This results in an energy proportional computing system in which only the energy required to maintain a required level of performance is used.

北京人起源

R. Caner Sayan,Ay?egül Kibaro?luackground from the correlation window. By using the similarity criterion, it is possible to improve the performance of any grayscale-based correlation coefficient and reach high performance for homogeneous areas and edges. The developed FPGA architecture reaches high performance compared to other re

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