Results 41 to 50 of about 21,695 (260)

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 Study on Path Planning for Curved Surface UV Printing Robots Based on Reinforcement Learning

Mathematics
In robotic surface UV printing, the irregular shape of the workpiece and frequent curvature changes require the printing robot to maintain the nozzle’s perpendicular orientation to the surface during path planning, which imposes high demands on ...
Jie Liu, Xianxin Lin, Chengqiang Huang, Zelong Cai, Zhenyong Liu, Minsheng Chen, Zhicong Li   +6 more
doaj   +1 more source

Brief Analysis of Research and Application of Big Data Integration and Management Platform for Submarine Pipeline Inspection

Haiyang Kaifa yu guanli, 2023
In order to improve the efficiency of submarine pipeline inspection, and manage inspection data more reasonably and effectively, so as to analyze and predict pipeline health status more scientifically, an efficient and intelligent submarine pipeline ...
Hong TANG, Yangchun LIN, Changfu ZHU
doaj  

Research on Path Optimization Method for Warehouse Inspection Robot

Applied Artificial Intelligence, 2023
With the increasing popularity of intelligence, many enterprises’ warehouse inspection work is completed through robots. However, due to the multiple target points of warehouse inspection, the low efficiency of planning intelligent robot inspection paths
Jianxian Liu, Hongyuan Liu
doaj   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Channel2DTransformer: A Multi-level Features Self-attention Fusion Module for Semantic Segmentation

International Journal of Computational Intelligence Systems
Semantic segmentation is a crucial technology for intelligent vehicles, enabling scene understanding in complex driving environments. However, complex real-world scenarios often contain diverse multi-scale objects, which bring challenges to the accurate ...
Weitao Liu, Junjun Wu
doaj   +1 more source

Research on Intelligent Unmanned Grain Sampling and Quality Inspection Integration System

Liang you shipin ke-ji
Grain sampling and inspection are critical processes in grain storage and purchase, where the accuracy of inspection results directly affects the objectivity and reliability of grain quality evaluation. This paper analyzes the problems of traditional
ZHAO Dong-hai, LU Xue-rui, ZHAO Li-xin, ZHANG Yue, SHI Cui-xia   +4 more
doaj   +1 more source

Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces

Advanced Healthcare Materials, EarlyView.
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno, Anjana Devi, David Zanders, Miryam Arredondo, Davide Mariotti, Ruairi McGlynn, Sindy Devis, Simón Guerrero, Eglantina Benavente, Matias Alegría, Yusser Olguin, Lorena Lobos‐Gonzalez, Kevin Guzmán, Elizabeth Rivas‐Yañez, Paula Solar, Valentin Cepus, Michael Krause, Luis Velásquez   +17 more
wiley   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, EarlyView.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation

Advanced Materials, EarlyView.
A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels, Brigitta Dúzs, Oliver Skarsetz, Kohei Nishiyama, Andreas Walther   +4 more
wiley   +1 more source