Results 51 to 60 of about 20,865 (294)
Advanced Science, EarlyView.This review presents an integrated design roadmap for practical lithium–sulfur batteries, moving beyond isolated material breakthroughs to the synergistic combination of three interdependent frontiers: Scale‐Up, Electrolyte‐Cathode Synergy, and AI/ML Data‐Driven Design.
Shihzad Shakil +6 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.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
A Novel Bio-Inspired Method for Early Diagnosis of Breast Cancer through Mammographic Image Analysis
Applied Sciences, 2019 Breast cancer is a current problem that causes the death of many women. In this work, we test meta-heuristics applied to the segmentation of mammographic images.
David González-Patiño +3 more
doaj +1 more source
A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment
Journal of King Saud University: Computer and Information Sciences, 2022 With the increasing of the scale of task or request and dynamic nature of cloud resources, it gives significant issues of load balancing, resource utilization, task allocation, and system performance and so on.
Arabinda Pradhan +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Scheduling Reentrant FlowShops: Reinforcement Learning‐guided Meta‐Heuristics
IET Collaborative Intelligent ManufacturingThe reentrant flowshop scheduling problems (RFSP) are ubiquitous in high‐tech industries such as semiconductor manufacturing and liquid crystal display (LCD) production. Given the complexity of RFSP, it is significant to improve the production efficiency
Jingwen Yuan +4 more
doaj +1 more source
Preventive maintenance scheduling: a simulation-optimization approach
Production and Manufacturing Research: An Open Access Journal, 2021 This paper presents a framework for preventive maintenance (PM) scheduling in the semiconductor industry. We propose an approach for finding PM’s start time within a PM window to minimize production losses due to maintenance activities. In this study, we
Agus Darmawan, D. Daniel Sheu
doaj +1 more source
IEEE Access, 2022 Nowadays, electrical power grids are facing increased penetration of renewable energy sources (RES), which result in increasing level of randomness and uncertainties for its operational quality.
Souhil Mouassa +3 more
doaj +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source