Results 51 to 60 of about 4,754 (207)
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Application of Heuristic Combinations within a Hyper-Heuristic Framework for Exam Timetabling
Examination Timetabling Problem is one of the optimization and combinatorial problems. It is proved to be a non-deterministic polynomial (NP)-hard problem.
Gabriella Icasia +2 more
doaj +1 more source
A Sequence-Based Hyper-Heuristic for Traveling Thieves
A plethora of combinatorial optimization problems can be linked to real-life decision scenarios. Even nowadays, more diverse and complex problems are popping up. One of these problems is the traveling thief problem (TTP), which combines elements from the
Daniel Rodríguez +3 more
doaj +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
ABSTRACT The etiopathogenesis of Autism Spectrum Disorder (ASD) encompasses complex interactions between genetic and environmental risk factors. The high prevalence of gastrointestinal disorders in autistic individuals has propelled a growing interest in the possible involvement of gut dysbiosis in ASD pathogenesis.
Laura Sandoni +6 more
wiley +1 more source
Hyper-heuristics are aimed at providing a generalized solution to optimization problems rather than producing the best result for one or more problem instances.
Nelishia Pillay
doaj
Tetrazine Ligation in Living Systems: Beyond Fast Kinetics to Effective Bioorthogonality
Rapid reaction kinetics (k2) alone do not ensure successful tetrazine ligation in living systems. This review introduces ‘effective orthogonality’—focusing on chemical survival, availability, and encounter—as a practical framework. We highlight how bottlenecks shift from cellular sinks to in vivo delivery limits, offering design strategies for reliable
Junhyeong Yim +3 more
wiley +1 more source
ABSTRACT This study explores incidental learning among physicians navigating uncertainty during the COVID‐19 pandemic. Using a constructivist research design, we conducted a literature review of 13 empirical studies on incidental learning in complexity and analyzed critical incident interviews with 12 emergency medicine and intensive care physicians ...
Henriette Lundgren +4 more
wiley +1 more source
Efficient First‐Principles Inverse Design of Nanolasers
This article introduces a first‐principles inverse‐design framework for nanolasers that directly incorporates nonlinear lasing physics. By unifying steady‐state ab‐initio laser theory (SALT) with topology optimization, it reveals how spatial hole burning, gain saturation, and cavity‐emitter coupling shape laser performance, enabling efficient discovery
Beñat Martinez de Aguirre Jokisch +5 more
wiley +1 more source

