Results 201 to 210 of about 394,431 (266)

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Soil erosion susceptibility assessment in the Bistrița River basin (Romania) using machine learning algorithms and GIS. [PDF]

Sci Rep
Muratoreanu G, Dunea D, Tanislav D, Reid M, Diaconu DC, Costache A, Serban G, Pastor I, Bretcan P.   +8 more
europepmc   +1 more source

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

Advanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang, Bratin Sengupta, Xiaoao Shi, Haihui Pu, Jeffrey W. Elam, Gregory K. Krumdick, Jessica Durham Macholz, Allison Bennett Irion, Junhong Chen, Seth B. Darling   +9 more
wiley   +1 more source

Prediction of under-five mortality using supervised machine learning algorithms in the 23 sub-Sharan African countries. [PDF]

Sci Rep
Asnake AA, Gebrehana AK, Asmare ZA, Seifu BL, Asebe HA, Bezie MM, Tsega SS, Negussie YM, Melkam M, Fente BM.   +9 more
europepmc   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Breast Cancer Data Analysis Using Supervised Machine Learning Algorithms. [PDF]

Cureus
Kutal DH, Koseoglu BN.
europepmc   +1 more source

Machine learning algorithms to predict frailty in older adults in China: a cross-sectional study. [PDF]

BMC Geriatr
Song Y, Liu Y.
europepmc   +1 more source

Identification and validation of NETs-related biomarkers in hepatocellular carcinoma through bioinformatics analysis and machine learning algorithms. [PDF]

Discov Oncol
Tang B, Hu Z, Nie L, Ai J, Jiang Q.
europepmc   +1 more source

Accuracy of Diagnosis and Anticipation of Future Treatment in Pediatric Peripelvic Infections: The Role of Multisurgeon Review and Implications for Future Machine Learning Algorithms. [PDF]

J Am Acad Orthop Surg Glob Res Rev
Staten TM, Warden J, Lang PJ, Turtle J, Noonan KJ, Bellaire LL.   +5 more
europepmc   +1 more source

Clinical decision system for renal cell carcinoma integrating interpretable machine learning algorithms. [PDF]

Front Surg
Zhang T, Tian T, Zhang Y, Teng Q, Zhang Y, Pang J, Wang Y, Yang C.   +7 more
europepmc   +1 more source