The Law of the Iterated Logarithm for Brownian Motion in a Banach Space [PDF]
J. Kuelbs, R. Lepage
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Physics‐based inverse modeling of battery degradation with Bayesian methods
To further improve Lithium‐ion batteries (LiBs), a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate and parameterize. Therefore, automated machine‐learning methods (ML) are necessary to evaluate models with experimental data. Bayesian methods, e.g., Expectation Propagation
Micha Philipp+3 more
wiley +1 more source
SIMECK-T: An Ultra-Lightweight Encryption Scheme for Resource-Constrained Devices
The Internet of Things produces vast amounts of data that require specialized algorithms in order to secure them. Lightweight cryptography requires ciphers designed to work on resource-constrained devices like sensors and smart things.
Alin-Adrian Anton+3 more
doaj +1 more source
On the last time and the number of boundary crossings related to the strong law of large numbers and the law of the iterated logarithm [PDF]
Tze Leung Lai, K. K. Gordon Lan
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A one‐dimensional diffusion‐based mass transport model was built using PHREEQC to highlight the potential challenges posed by thermochemical sulfate reduction (TSR) in depleted gas fields. The results obtained indicated that the presence of iron minerals (pyrite and hematite) is crucial for H2S generation through TSR reactions.
Sadegh Ahmadpour, Raoof Gholami
wiley +1 more source
Challenges, models, and algorithms for flow and transport simulations in deep reservoirs
Deep reservoirs are considered a promising resource for future energy supply, but current reservoir simulation technologies may face certain challenges if they are directly used in specific scenarios in deep reservoir development. Models and algorithms were developed to resolve these challenges, including a better phase equilibrium model, a better ...
Tao Zhang, Jie Liu, Shuyu Sun
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123 Methods for determining the conclusiveness of systematic review results: A living scoping review
Objectives/Goals: Understanding systematic review results help prioritise more valuable studies. However, evaluating whether a systematic review has conclusively answered a question is difficult, and it is unclear which tools are available for such ...
Troels Madsen+3 more
doaj +1 more source
The Law of the Iterated Logarithm on Arbitrary Sequences for Stationary Gaussian Processes and Brownian Motion [PDF]
Clifford Qualls
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Review of artificial intelligence applications in geothermal energy extraction from hot dry rock
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji+5 more
wiley +1 more source
Laws of the Iterated Logarithm for Permuted Random Variables and Regression Applications [PDF]
Gary G. Makowski
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