Results 111 to 120 of about 376,950 (319)
Heuristics for the Undecidable
This is a commentary on Michael Lissack’s two-part article “Understanding is a Design Problem: Cognizing from a Designerly Thinking Perspective.” While fundamentally agreeing with the main thrust of Lissack’s argument, this commentary seeks to amplify attention to the pivotal role played by values in constraining our cognition.
openaire +3 more sources
When is a Heuristic Device…Just a Heuristic Device?
Editorial
Nesta Devine, Leon Benade
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Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
A statistical technique for comparing heuristics: an example from capacity assignment strategies in computer network design [PDF]
Richard E. Nance +2 more
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This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren +10 more
wiley +1 more source
The pace of technological advancement is accelerating, and one of the latest developments is the emergence of Augmented Reality (AR) and Mixed Reality (MR) glasses as an extension of smartphones.
T. V. Sumithra +3 more
doaj +1 more source
Class groups of number fields: numerical heuristics [PDF]
Henri Cohen, Jacques Martinet
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Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Optimizing the logistic order-picking process in the distribution center depends on two closely related decisions: how to schedule the processing of orders by a limited number of employees and how to sequence the containers on the conveyor to be ...
Kateryna Czerniachowska, Marcin Hernes
doaj +1 more source
Experimental goal regression: A method for learning problem-solving heuristics [PDF]
Bruce Porter, Dennis Kibler
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