Results 41 to 50 of about 24,289 (266)

Intelligent design of investment casting mold based on a hybrid reasoning method [PDF]

China Foundry, 2009
A hybrid reasoning model was proposed in which CBR (case-based reasoning) was applied to the conceptual design and RBR (rule-based reasoning) was applied to the detailed design after research of the design process and domain knowledge of the aero-engine ...
Jiang Ruisong, Zhang Dinghua, Wang Wenhu
doaj  

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

HYBRID EPISTEMOLOGY: EMERGENT KNOWLEDGE FORMS IN THE AGE OF HUMAN-AI COGNITIVE INTEGRATION

Вісник НЮУ імені Ярослава Мудрого: Серія: Філософія, філософія права, політологія, соціологія
This article introduces hybrid epistemology as a framework for understanding how knowledge emerges when humans and AI systems function as cognitive partners.
Andrii Lykhatskyi
doaj   +1 more source

A Fuzzy Reasoning Algorithm in Hybrid Causality Diagram

Journal of Algorithms & Computational Technology, 2012
This paper discussed the reasoning algorithm of hybrid causality diagram with fuzzy method, it map continuous–value into discrete states mainly, and this algorithm can also deal with fuzzy multi-value causality diagram, continuous–value causality diagram.
Hongchun Wang
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Development of an Integrative Learning Unit to Enhance Students’ Conceptual Understanding of Dissolution and Their Reasoning Sophistication [PDF]

Journal of Research in Science, Mathematics and Technology Education, 2018
Chemistry education requires establishing connections between chemistry concepts and learners’ experiences encountered in the real world. However, due to the abstract nature of chemistry which is regularly displayed in an isolated-fashion in classrooms,
Thanapol Pittayapiboolpong, Pratchayapong Yasri   +1 more
doaj   +1 more source

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

Advanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon, Jordan Noronha, Justin Dirrenberger, Andrey Molotnikov   +3 more
wiley   +1 more source

A Hybrid Certainty Factor–XGBoost Approach for Cyberattack Detection Using the TON_IoT Dataset

Journal of Information Systems and Informatics
Computer networks are vital to modern organizations, yet growing digital dependence has increased both the frequency and complexity of cyberattacks. To address this challenge, this study proposes an interpretable cyberattack detection framework that ...
Adiva Dwi Aprianto, Ratih Hafsarah Maharrani, Indi Cahya Ratna Auliya, Vania Rizky Alifiah   +3 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

A Knowledge Reuse–Based Approach for Rapid Design of an Active Phased Array Antenna

International Journal of Antennas and Propagation
Active phased array antenna is a typical multidisciplinary, intensive knowledge-based equipment, and the traditional “design–analysis–improvement–redesign” method has problems including low utilization of mature design resources and long design cycles ...
Yan Wang, Yucheng Gu, Pengcheng Xian, Zhaoyang Xing, Biaolin Yan, Song Xue, Zhihai Wang, Kunpeng Yu, Wenzhi Wu, Congsi Wang   +9 more
doaj   +1 more source