Results 221 to 230 of about 166,295,661 (288)

The 2‐D Orthogonal Packing Problem With Multiple Levels of Prioritization: A Spatial Optimization Perspective

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT This paper addresses two‐dimensional orthogonal packing within a confined space, integrating bin packing principles with facility layout concepts to address scenarios in which items must not only fit but also be arranged according to spatial priorities.
William K. Kirschenman   +4 more
wiley   +1 more source

A tipping point for tipping points

open access: yesOikos, EarlyView.
Tipping points (TPs) – often understood as abrupt changes to a system – have become a popular framework for ecology and environmental science across spatial and temporal scales. The underlying, quantitative foundation of TP theory is built on mathematical models from catastrophe and predator–prey theories.
David G. Jenkins   +1 more
wiley   +1 more source

Supervised Protein Structure Classification Using Topological Persistence With DeltaFold

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT Recent advances in protein structure prediction have considerably increased the number of available structures, underscoring the need for scalable and accurate methods to compare and classify this huge amount of data. Current approaches based on sequence alignment or structural superposition often lack sensitivity and/or are computationally ...
Joseph Nardin‐Gennequin   +3 more
wiley   +1 more source

Object‐based deep learning for probabilistic convective‐core nowcasting from satellite data

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Convective cores detected from Meteosat infrared imagery are represented as compact physical objects to generate probabilistic nowcasts up to 6 h ahead. A spatio‐temporal transformer models interactions among evolving core populations and produces gridded probability forecasts across the western Sahel.
Mendrika Rakotomanga   +5 more
wiley   +1 more source

Brown–Proschan Repair Policy for Repairable Systems Using the Discrete Weibull Failure Distribution and Markov Chains

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT A repairable system operates under a maintenance strategy involving scheduled preventive maintenance (PM) and corrective repair actions following failures. This study develops an exact analytical methodology using Markov chains with discrete states and time to calculate the expected number of failures E[N(t)]$\mathop {\mathbb {E}}[N(t)]$ under
Danilo G. O. Valadares   +3 more
wiley   +1 more source

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