Results 11 to 20 of about 9,460,007 (367)
Maternal and Child Nutrition, 2021 With a growing consensus on the need to address malnutrition in a comprehensive and multisectoral way, there has been increased attention on the processes and factors for multisectoral nutrition planning to be successful.
Amanda Coile +5 more
doaj +1 more source
Family Medicine and Community Health, 2021 Although low-income countries have recently seen an exponential flourishing of digital health initiatives, the landscape is characterised by a myriad of small pilots that rarely reach scaling, sustainability and wide adoption.
Riccardo Lampariello +1 more
doaj +1 more source
Scaling deep learning for materials discovery
Nature, 2023 Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing^ 1 – 11 . From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by ...
Amil Merchant +5 more
semanticscholar +1 more source
Beyond neural scaling laws: beating power law scaling via data pruning [PDF]
Neural Information Processing Systems, 2022 Widely observed neural scaling laws, in which error falls off as a power of the training set size, model size, or both, have driven substantial performance improvements in deep learning.
Ben Sorscher +4 more
semanticscholar +1 more source
BMC Nutrition, 2021 Background Annually, undernutrition contributes globally to 45% (3.1 million) of preventable deaths in children under 5. Effect following undernutrition i.e. physical growth & cognitive development etc.
Leila H. Abdullahi +6 more
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Journal of Nutritional Science, 2023 To meet the 2030 goal to end all types of malnutrition, thoroughly investigating and addressing context-specific factors of undernutrition is crucial. Therefore, this study assessed the prevalence of undernutrition and associated factors among children ...
Gosa Girma Ararsa +3 more
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Human factor parameters influence scaling on professional risk level at engineering facilities [PDF]
Омский научный вестник, 2020 The article deals with the workplace safety issues in the machine-building industry taking into account the human factor influence. The significance and quantitative assessment of the human factor influence on the occupational risk level is shown. An
N. O. Kovalkovskaya +3 more
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Scaled-YOLOv4: Scaling Cross Stage Partial Network [PDF]
Computer Vision and Pattern Recognition, 2020 We show that the YOLOv4 object detection neural network based on the CSP approach, scales both up and down and is applicable to small and large networks while maintaining optimal speed and accuracy. We propose a network scaling approach that modifies not
Chien-Yao Wang +2 more
semanticscholar +1 more source
Explaining neural scaling laws [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2021 Significance The population loss of trained deep neural networks has been empirically observed to improve as a power law in a variety of large models and datasets. We investigate the origins behind such “scaling laws” and provide a taxonomy for different
Yasaman Bahri +4 more
semanticscholar +1 more source
Anti-scaling performances of different aged landfill leachates on PPR and ABS pipe materials
Water Science and Technology, 2023 Landfill leachate, because of its complex components, may cause pipe clogging during its collection and transportation, and pose a threat to the environment.
Rui Zhao +4 more
doaj +1 more source