Results 101 to 110 of about 51,144 (287)
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Considering spatiotemporal evolutionary information in dynamic multi‐objective optimisation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Preserving population diversity and providing knowledge, which are two core tasks in the dynamic multi‐objective optimisation (DMO), are challenging since the sampling space is time‐ and space‐varying. Therefore, the spatiotemporal property of evolutionary information needs to be considered in the DMO.
Qinqin Fan +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Jurnal Matematika UNAND, 2019 Pengendalian kualitas merupakan hal yang perlu dilakukan untuk mengurangi cacat dan kerugian. Salah satu metode pengendalian kualitas adalah six sigma dengan 5 tahapan yaitu, Define, Measure, Analyze, Improve, Control(DMAIC). PT.
Silmiati Silmiati +2 more
doaj +1 more source
Quality Control of Cement Bags Using Pareto Diagrams and Analytical Hierarchy Process (AHP)
Jurnal Manajemen, 2023 A cement company in Bengkulu which has been operating and producing premium quality cement since April 2015 is experiencing quality product issues, particularly regarding its cement bags. Raw material was the largest defect contributor, accounting for 65% of the total defective bags with the causing criteria were raw materials that did not meet ...
openaire +1 more source
Advanced Intelligent Systems, EarlyView.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
Jurnal Manajemen dan Bisnis Indonesia, 2016 Ketepatan waktu penerbangan saat ini masih sangat kurang. Pengguna transportasi udara akan memilih penerbangan yang paling cepat, tepat, aman, dan nyaman dengan tidak mengabaikan unsur-unsur keselamatan. Salah satu maskapai yang menerapkan konsep Low Cost Carrier (LCC) dan tidak mengabaikan unsur-unsur keselamatan adalah Tiger Airways yang merupakan ...
Mutiya Kurniastuti, T. Aria Auliandri
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source