Results 31 to 40 of about 35,691 (191)
A geographically distributed bio-hybrid neural network with memristive plasticity [PDF]
, 2017 Throughout evolution the brain has mastered the art of processing real-world inputs through networks of interlinked spiking neurons. Synapses have emerged as key elements that, owing to their plasticity, are merging neuron-to-neuron signalling with ...
Corna, Andrea +10 more
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Broadband Brillouin scattering study of ferroelectric instability of barium sodium niobate
Condensed Matter Physics, 2022 The barium sodium niobate (BNN) with tungsten-bronze structure is one of well-known optical crystals for electro-optic and nonlinear optic applications. This paper reviews the ferroelectric instability of BNN crystals.
S. Kojima
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IEEE Access, 2021 This work presents an FPGA-based hardware/software design to help the agricultural robot intelligently decide if biological agents need to be applied to the target crops.
Chun-Hsian Huang
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Rates of Nuclear Reactions in Solid-Like Stars [PDF]
, 1964 In stellar matter as cool and dense as the interior of a white dwarf, the Coulomb energies between neighboring nuclei are large compared to the kinetic energies of the nuclei.
Wolf, Richard A.
core +2 more sources
How to Train Accurate BNNs for Embedded Systems?
, 2023 A key enabler of deploying convolutional neural networks on resource-constrained embedded systems is the binary neural network (BNN). BNNs save on memory and simplify computation by binarizing both features and weights. Unfortunately, binarization is inevitably accompanied by a severe decrease in accuracy.
de Putter, Floran, Corporaal, Henk
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Mathematics, 2019 In real applications, most decisions are fuzzy decisions, and the decision results mainly depend on the choice of aggregation operators. In order to aggregate information more scientifically and reasonably, the Heronian mean operator was studied in this ...
Changxing Fan +4 more
doaj +1 more source
A storage-efficient ensemble classification using filter sharing on binarized convolutional neural networks [PDF]
PeerJ Computer Science, 2022 This paper proposes a storage-efficient ensemble classification to overcome the low inference accuracy of binary neural networks (BNNs). When external power is enough in a dynamic powered system, classification results can be enhanced by aggregating ...
HyunJin Kim +2 more
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FP-BNN: Binarized neural network on FPGA [PDF]
Neurocomputing, 2018 Deep neural networks (DNNs) have attracted significant attention for their excellent accuracy especially in areas such as computer vision and artificial intelligence. To enhance their performance, technologies for their hardware acceleration are being studied.
Liang, Shuang +4 more
openaire +3 more sources
FPGA-Based Acceleration on Additive Manufacturing Defects Inspection
Sensors, 2021 Additive manufacturing (AM) has gained increasing attention over the past years due to its fast prototype, easier modification, and possibility for complex internal texture devices when compared to traditional manufacture processing.
Yawen Luo, Yuhua Chen
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Mono- and Dinitro-BN-Naphthalenes: Formation and Characterization
Molecules, 2021 Mono- and dinitro-BN-naphthalenes, i.e., 1-nitro-, 3-nitro-, 1,6-dinitro-, 3,6-dinitro-, and 1,8-dinitro-BNN, were generated in the nitration of 9,10-BN-naphthalene (BNN), a boron–nitrogen (BN) bond-embedded naphthalene, with AcONO2 and NO2BF4 in ...
Mao-Xi Zhang +6 more
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