Results 191 to 200 of about 20,451 (264)

Multi-Objective Optimization of Ultrasonic Surface Rolling Process Parameters for TC4 Titanium Alloy with IWOA-RBF and MOGWO Algorithms. [PDF]

Micromachines (Basel)
Lan Y, Rao C, Lyu Y.
europepmc   +1 more source

Foraging and movement flexibility shape seed dispersal by an arboreal primate in a modified landscape

Oikos, EarlyView.
As habitats change, the effectiveness of animal‐mediated seed dispersal increasingly depends on animal responses to altered structure and resources. With habitat loss and degradation accelerating across the tropics, understanding how dispersers' foraging behavior and movement influence seed removal and deposition is critical to promoting forest ...
Anaid Cárdenas‐Navarrete, Sarie Van Belle, Onja H. Razafindratsima   +2 more
wiley   +1 more source

An Integrated Method for CFRP Drilling Quality Prediction and Multi-Objective Optimization. [PDF]

Materials (Basel)
Ping A, Zha Y, Li Y, Jiang Y, He K, Gan X, Zhang H, Liu J.   +7 more
europepmc   +1 more source

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

Polymer Composites, EarlyView.
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley   +1 more source

Surrogate assisted optimization of decentralized wastewater facilities in severe cold regions. [PDF]

Sci Rep
Su Y, Gao X, Zheng Z.
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

Multi-Objective Optimization Design of Doherty Power Amplifier Circuits Based on Non-Dominated Sorting Genetic Algorithm-II. [PDF]

Micromachines (Basel)
Qu H, Zhang X, Gao S, Yan S.
europepmc   +1 more source

Enhancing Structural Reliability of Composite Adhesive Joints: An Integrated Experimental‐Numerical‐Machine Learning Framework for Material‐Geometric Co‐Optimization

Polymer Composites, EarlyView.
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley   +1 more source

A novelty mode decomposition method and its application in dynamic characteristic identification of bridge GNSS monitoring data. [PDF]

Sci Prog
Wang X, Luo L, Liu J.
europepmc   +1 more source

Translating Machine Learning Into Manufacturing Expertise—Actionable Interpretability and Stability for Precision Injection Molding

Polymer Engineering &Science, EarlyView.
This research aims to enhance confidence in using AI/ML models and address unpredicted defects occurred during injection molding (IM) through guided machine fine‐tuning. Integrated stability analysis and parallel coordinate visualization coupled with perturbation analysis are presented to augment domain‐specific XAI applications in the IM industry ...
Chung‐Yin Lin, Jinsu Gim, Andrea Pieressa, Demitri Shotwell, Kris Sankaran, Giovanni Lucchetta, Lih‐Sheng Turng   +6 more
wiley   +1 more source