Results 51 to 60 of about 8,875 (240)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Ductility of reinforced lightweight concrete beams and columns
This paper presents analytical and experimental results on ductility of reinforced lightweight concrete beams and columns in the form of moment curvature relationships, and compares the response with that of normal reinforced concrete members.
Abdelhamid Charif +2 more
doaj +1 more source
Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses
A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with functional tasks evaluate performance, usability, and cognitive workload.
Gianmarco Cirelli +7 more
wiley +1 more source
LIGHTWEIGHT CONCRETE IN YEMEN [PDF]
Light-weight concrete (LWC) has been successfully used since the ancient Roman times and it has gained its popularity due to its lower density and superior thermal insulation properties Compared with normal weight concrete (NWC).The main objective of the present study is to provide some information on properties of light-weight concrete using Yemeni ...
openaire +1 more source
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee +7 more
wiley +1 more source
Improving Lightweight Structural Tuff Concrete Composition Using Three-Factor Experimental Planning
Research into lightweight structural concrete using volcanic tuff is of great importance to the construction industry. These materials have excellent thermal insulation properties, which helps improve the energy efficiency of buildings.
Yerlan Y. Khamza +4 more
doaj +1 more source
TacEva: A Performance Evaluation Framework for Vision‐Based Tactile Sensors
This work introduces TacEva, a unified framework for evaluating vision‐based tactile sensors. It standardizes intrinsic, performance, and robustness metrics through shared experimental procedures and links them to task‐level requirements in robotic manipulation.
Qingzheng Cong +5 more
wiley +1 more source
Despite extensive research on fiber-reinforced lightweight concrete, the synergistic effects of combining different types of fibers, such as polymer and basalt fibers, on the mechanical properties and durability of lightweight concrete have not been ...
Peyman Maleki +2 more
doaj +1 more source

