Results 261 to 270 of about 3,684,944 (327)

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

AI-supported clinical decision-making: in silico simulation of physician-AI interactions. [PDF]

Front Digit Health
Hofmann A.
europepmc   +1 more source

Carbon nanotube and carbon dot mediated plasmid DNA delivery in cowpea leaves. [PDF]

PLoS One
Saglam M, Tsakirpaloglou N, Bridgeland A, Miller R, Thomson MJ, Septiningsih EM.   +5 more
europepmc   +1 more source

Digital maternity care in Germany: a cross-sectional web-based survey on midwives' perceptions. [PDF]

Arch Gynecol Obstet
Griewing S, Teske P, Wichmann J, Oftring Z, Knitza J, Keil C, Tauber N, Däumichen J, Potthast M, Wallwiener S, Wagner U, Wallwiener M, Gremke N, Leyer M, Gehling H, Kuhn S.   +15 more
europepmc   +1 more source

Improvement of merging processes in N-body simulations in circumstellar disks

Zimmermann M, Pilat-Lohinger E.
europepmc   +1 more source

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BINARY PATTERNS IN BINARY WORDS

International Journal of Algebra and Computation, 1991
We strengthen the description of the 2-avoidable binary patterns given in J. Cassaigne [3], P. Roth [7], and Vanicek [8], by showing that every 2-avoidable binary pattern [t] can be avoided by an infinite independent set of binary words, and, the number of binary words avoiding [t] grows exponentially with their length.
Goralcik, Pavel, Vanicek, Tomas
openaire   +2 more sources

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

European Conference on Computer Vision, 2016
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In Binary-Weight-Networks, the filters are approximated with binary values resulting in 32\(\times \) memory saving.
Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi   +3 more
semanticscholar   +1 more source

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

European Conference on Computer Vision, 2020
In this paper, we propose several ideas for enhancing a binary network to close its accuracy gap from real-valued networks without incurring any additional computational cost.
Zechun Liu, Zhiqiang Shen, M. Savvides, Kwang-Ting Cheng   +3 more
semanticscholar   +1 more source