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IMC 2015: Proceedings of the International Management Conference
, 2015 Manuel Au‐Yong‐Oliveira +3 more
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Proceedings of the Neuromorphic Computing Symposium, 2017
Deep Convolutional Neural Networks (CNNs) are widely employed in modern AI systems due to their unprecedented accuracy in object recognition and detection. However, it has been proven that the main bottleneck to improve large scale deep CNN based hardware implementation performance is massive data communication between processing units and off-chip ...
Angizi, Shaahin, Fan, Deliang
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Deep Convolutional Neural Networks (CNNs) are widely employed in modern AI systems due to their unprecedented accuracy in object recognition and detection. However, it has been proven that the main bottleneck to improve large scale deep CNN based hardware implementation performance is massive data communication between processing units and off-chip ...
Angizi, Shaahin, Fan, Deliang
openaire +2 more sources
Revue des Maladies Respiratoires Actualités, 2021
Introduction La perte du poids dans les BPCO est un facteur de mauvais pronostic. De multiples etudes ont demontre l’existence d’une nette correlation entre la diminution de l’IMC et la mortalite dans la BPCO. Le but de notre etude est d’analyser la relation entre l’IMC et la severite de la BPCO.
H. Arfaoui +4 more
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Introduction La perte du poids dans les BPCO est un facteur de mauvais pronostic. De multiples etudes ont demontre l’existence d’une nette correlation entre la diminution de l’IMC et la mortalite dans la BPCO. Le but de notre etude est d’analyser la relation entre l’IMC et la severite de la BPCO.
H. Arfaoui +4 more
openaire +1 more source