Results 161 to 170 of about 13,707,469 (301)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Report of the Forest Commissioner of the State of Maine

, 1902
The [9th] report contains "Wood-using industries of Maine by J.C. Nellis." Title-page omits "Report."Imprint varies: some vols. printed in Waterville, by the Sentinel Pub. Co.Vols.
Maine. Forest Commissioner., Maine. Forest Commissioner.   +1 more
core  

Human iPSC‐Derived Tissue‐Engineered Nigrostriatal Pathway for Chronic Restoration of Dopaminergic Axon Tracts in a Rat Parkinson's Model

Advanced Healthcare Materials, EarlyView.
Inspired by conventional cell therapy and emerging bioengineering approaches, the tissue‐engineered nigrostriatal pathway (TE‐NSP) has an anatomically‐inspired design comprising a population of human dopaminergic neurons with unidirectional, long‐projecting axon tracts.
Wisberty J. Gordián‐Vélez, Dimple Chouhan, Kevin D. Browne, James Lim, Saarang P. Karandikar, Rodrigo A. España, John E. Duda, H. Isaac Chen, D. Kacy Cullen   +8 more
wiley   +1 more source

Minnesota Forest Scene, Issue 13 (Spring 2014)

, 2014
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2014). Minnesota Forest Scene, Issue 13 (Spring 2014).
University of Minnesota. Department of Forest Resources
core  

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Minnesota Forest Scene, Issue 15 (Fall 2015)

, 2015
1 electronic resource (PDF, 6 pages; includes color photographs)University of Minnesota. Department of Forest Resources. (2015). Minnesota Forest Scene, Issue 15 (Fall 2015). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/
University of Minnesota. Department of Forest Resources
core  

Construction and verification of an early warning model for hypothermia in emergency trauma patients based on the random forest method. [PDF]

Am J Transl Res
Cao J, Mu X, Zhu H, Liu Y.
europepmc   +1 more source

Multi-Domain Entropy-Random Forest Method for the Fusion Diagnosis of Inter-Shaft Bearing Faults with Acoustic Emission Signals. [PDF]

Entropy (Basel), 2019
Tian J, Liu L, Zhang F, Ai Y, Wang R, Fei C.   +5 more
europepmc   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source