Results 211 to 220 of about 27,360 (316)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Global impacts of transportation infrastructure on forest degradation and loss. [PDF]

Nat Commun
Zhou D, Xiao J, Liu S, Huang L, Zhang L, Fan J, Zhao S.   +6 more
europepmc   +1 more source

Mechanical Properties of Machilus thunbergii According to Forest Site and Forest Origin

Journal of Agriculture & Life Science, 2016
Nam-Euy Hong, Kyung-Rok Won, Su-Young Jung, Byung-Oh Yoo, Hee-Seop Byeon   +4 more
openaire   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Occupational Exposure to Ambient Air Pollution: At-Risk Worker Groups, Regulatory and Research Needs An Official American Thoracic Society Workshop Report. [PDF]

Ann Am Thorac Soc
MacMurdo MG, Maier LA, Balmes JR, Berg E, Brigham E, Cummings KJ, Dahlberg V, Evoy R, Ewart G, Guild A, Henneberger PK, Hines SE, Kaufman JD, Lee A, Liebman A, Magzamen S, Meza E, Neidell M, Schenker M, Spector JT, Sokas R, Sack C.   +21 more
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Impact of agricultural subsidy on chemical fertilizer use: Empirical evidence of China's Organic-Substitute-Chemical-Fertilizer policy based on double machine learning. [PDF]

PLoS One
Deng L, Wan P, Ye F, Zhao J.
europepmc   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

Advanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source

Spatial association network structure of agricultural carbon emission efficiency in Chinese cities and its driving factors. [PDF]

Sci Rep
Wei X, Chen B.
europepmc   +1 more source