Results 41 to 50 of about 6,914 (235)
Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas [PDF]
Nonlinear Processes in Geophysics, 2011 A novel technique based on the Bayesian neural network (BNN) theory is developed and employed to model the temperature variation record from the Western Himalayas.
R. K. Tiwari, S. Maiti
doaj +1 more source
Matrik, 2022 This study aimed to analyze the factors that influence employee behavior due to limited land at the BNN Rehabilitation Center, with a quantitative approach using factor analysis methods. The research sample was the staff of the BNN Rehabilitation Center,
Palupi Lindiasari Samputra +1 more
doaj +1 more source
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
doaj +1 more source
Journal of Advances in Modeling Earth Systems, 2022 The trustworthiness of neural networks is often challenged because they lack the ability to express uncertainty and explain their skill. This can be problematic given the increasing use of neural networks in high stakes decision‐making such as in climate
Mariana C. A. Clare +4 more
doaj +1 more source
, 2000 Professor. B. Nauta was interviewed by BNN radio on 22 December 2000. It was in the program called "BNN United" and they talked about: "less students are choosing for a career on the ...
Nauta, Bram
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Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A Survey on Impact of Transient Faults on BNN Inference Accelerators
CoRR, 2020 Over past years, the philosophy for designing the artificial intelligence algorithms has significantly shifted towards automatically extracting the composable systems from massive data volumes. This paradigm shift has been expedited by the big data booming which enables us to easily access and analyze the highly large data sets.
Navid Khoshavi, Connor Broyles, Yu Bi
openaire +2 more sources
Nonlocal Metaspire: A Scalable Elastic Material Platform With Decoupled Mechanical Modes
Advanced Materials, EarlyView.Nonlocal Metaspire introduces sequential rotation to realize wider scalability in implementing complex nonlocal couplings in elastic metamaterials while suppressing unintended mode coupling. Numerical results clarify the underlying wave motions, demonstrate mode‐decoupled roton and maxon formation, and support a straightforward extension to higher ...
Seung Han Kim +3 more
wiley +1 more source
Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks
Advanced Science, EarlyView.Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley +1 more source
Buku Pencegahan Narkoba Untuk Remaja:Kita Bisa Gaul Tanpa Narkoba [PDF]
, 2007 v.100 hal.;ill.;13 ...
Tim Ahli BNN
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