Results 21 to 30 of about 618,486 (256)
Microbiology Spectrum, 2021 Due to increased demand for testing, as well as restricted supply chain resources, testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection continues to face many hurdles.
Paul Hofman +19 more
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Frontiers in Earth Science, 2021 Skillful long-lead climate forecast is of great importance in managing large water systems and can be made possible using teleconnections between regional climate and large-scale circulations. Recent innovations in machine learning provide powerful tools
Xiao Peng, Tiejian Li, John D. Albertson
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YOLOv4-Tiny-Based Coal Gangue Image Recognition and FPGA Implementation
Micromachines, 2022 Nowadays, most of the deep learning coal gangue identification methods need to be performed on high-performance CPU or GPU hardware devices, which are inconvenient to use in complex underground coal mine environments due to their high power consumption ...
Shanyong Xu +3 more
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Continuous speech recognition by convolutional neural networks
工程科学学报, 2015 Convolutional neural networks (CNNs), which show success in achieving translation invariance for many image processing tasks, were investigated for continuous speech recognition.
ZHANG Qing-qing +3 more
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An accurate model for SARS-CoV-2 pooled RT-PCR test errors
Royal Society Open Science, 2021 Pooling is a method of simultaneously testing multiple samples for the presence of pathogens. Pooling of SARS-CoV-2 tests is increasing in popularity, due to its high testing throughput.
Yair Daon, Amit Huppert, Uri Obolski
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Using Functional Programming to recognize Named Structure in an Optimization Problem: Application to Pooling [PDF]
, 2016 Branch-and-cut optimization solvers typically apply generic algorithms, e.g., cutting planes or primal heuristics, to expedite performance for many mathematical optimization problems.
Ceccon, F, Kouyialis, G, Misener, R
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Pooling and correlated neural activity
Frontiers in Computational Neuroscience, 2010 Correlations between spike trains can strongly modulate neuronal activity and affect the ability of neurons to encode information. Neurons integrate inputs from thousands of afferents.
Robert Rosenbaum +2 more
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Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants
Algorithms, 2022 One of the essential layers in most Convolutional Neural Networks (CNNs) is the pooling layer, which is placed right after the convolution layer, effectively downsampling the input and reducing the computational power required.
Nikolaos-Ioannis Galanis +3 more
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Regional service delivery among Pacific Island countries: an assessment [PDF]
, 2014 Experience with pooling service delivery among Pacific Island countries has not met the optimistic expectations of advocates, finds this study. Abstract Pacific Island countries face a range of development challenges, including smallness, distance from
Matthew Dornan, Tess Newton Cain
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Weakly Supervised U-Net with Limited Upsampling for Sound Event Detection
Applied Sciences, 2023 Sound event detection (SED) is the task of finding the identities of sound events, as well as their onset and offset timings from audio recordings. When complete timing information is not available in the training data, but only the event identities are ...
Sangwon Lee, Hyemi Kim, Gil-Jin Jang
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