Results 1 to 10 of about 101,037 (67)
Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds [PDF]
Hydrology and Earth System Sciences, 2021 In the past decades, data-driven machine-learning (ML) models have emerged as promising tools for short-term streamflow forecasting. Among other qualities, the popularity of ML models for such applications is due to their relative ease in implementation,
L. T. Pham, L. Luo, A. Finley, A. Finley
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Applied Sciences, 2023 Drilling operations are the major cost factor for the oil industry. Appropriately designed operations are essential for successful drilling. Optimized drilling operations also enhance drilling performance and reduce drilling costs.
Amir Mohammad +2 more
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Detecting the influence of spreading in social networks with excitable sensor networks. [PDF]
PLoS ONE, 2015 Detecting spreading outbreaks in social networks with sensors is of great significance in applications. Inspired by the formation mechanism of humans' physical sensations to external stimuli, we propose a new method to detect the influence of spreading ...
Sen Pei, Shaoting Tang, Zhiming Zheng
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On some properties of short-wave statistics of FOREX time series [PDF]
Компьютерные исследования и моделирование, 2017 Financial mathematics is one of the most natural applications for the statistical analysis of time series. Financial time series reflect simultaneous activity of a large number of different economic agents.
Ekaterina Igorevna Beloborodova +1 more
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Reflecting the Optimization Theory and DigitalizationOn Applied Arts
Journal of Architecture, Art & Humanistic Science, 2020 The contemporary Applied Arts have encountered new types and techniques depending on digital applications. It was turning point to gain access to concepts and ideas of design and moreover design experiments processes, production, and prototype. Designers
Mostafa Abdel Khalek Gaafar
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Theory of Acceleration of Decision-Making by Correlated Time Sequences
Complexity, 2022 Photonic accelerators have been intensively studied to provide enhanced information processing capability to benefit from the unique attributes of physical processes.
Norihiro Okada +5 more
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Certified Quantum Random Numbers from Untrusted Light
Physical Review X, 2020 A remarkable aspect of quantum theory is that certain measurement outcomes are entirely unpredictable to all possible observers. Such quantum events can be harnessed to generate numbers whose randomness is asserted based upon the underlying physical ...
David Drahi +10 more
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Earth and Space Science, 2023 Sea surface salinity (SSS) is a master variable in oceanography and important to understand marine biogeochemical and physical processes. In the East China Sea (ECS), a random forest based regression ensemble model (RF) was developed to estimate the SSS ...
Jing Liu +3 more
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Sequence learning in a spiking neuronal network with memristive synapses
Neuromorphic Computing and Engineering, 2023 Brain-inspired computing proposes a set of algorithmic principles that hold promise for advancing artificial intelligence. They endow systems with self learning capabilities, efficient energy usage, and high storage capacity.
Younes Bouhadjar +5 more
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IEEE Access, 2019 Smart cities and other cyber-physical systems (CPSs) rely on various scientific, engineering, business, and social applications that provide timely intelligence for their design, operations, and management.
Sardar Usman +3 more
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