Results 241 to 250 of about 2,068,010 (305)

Correction: EFFNet: A skin cancer classification model based on feature fusion and random forests. [PDF]

PLoS One
Ma X, Shan J, Ning F, Li W, Li H.
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Image-based yield prediction for tall fescue using random forests and convolutional neural networks. [PDF]

Front Plant Sci
Ghysels S, De Baets B, Reheul D, Maenhout S.   +3 more
europepmc   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Leveraging Random Forests explainability for predictive modeling of children's conduct problems: insights from individual and family factors. [PDF]

Front Public Health
Romero E, González-González J, Álvarez-Voces M, Costa-Montenegro E, Díaz-Vázquez B, Busto-Castiñeira A, Villar P, López-Romero L.   +7 more
europepmc   +1 more source

Single–Atom Iron Sites Enable Enhanced Arsenic Removal From Water Through Synergistic Adsorption–Oxidation

Advanced Science, EarlyView.
Single–atom iron anchored on nitrogen–doped porous biochar exhibited ultra–efficient performance, exceptional environmental resilience, and integrated adsorption–oxidation functionality. The multifunctional architecture of the support and the unparalleled reactivity of single–atom iron underpinned the cooperative adsorption and oxidation of As(III ...
Tao Sun, Chao Wang, Shihang Wu, Xiaojia Zhou, Penggang Pei, Huijuan Yu, Yun Zhang, Qingqing Huang, Yuebing Sun   +8 more
wiley   +1 more source

Real-Time Correction and Long-Term Drift Compensation in MOS Gas Sensor Arrays Using Iterative Random Forests and Incremental Domain-Adversarial Networks. [PDF]

Micromachines (Basel)
Dong X, Han S.
europepmc   +1 more source

Innovative Test Strip‐Based Colorimetric Sensors Integrated With Affinity Chromatography: Acetylcholinesterase Inhibitor Screening Breakthrough in Lycium Barbarum Leaves

Advanced Science, EarlyView.
Schematic diagrams illustrating the breakthrough in the screening of AChE inhibitors from LBL, and the research process of the pharmacodynamics of the NCP are presented. ABSTRACT Current Alzheimer's drugs exhibit limited effectiveness, highlighting the necessity for multi‐target treatments.
Yuping Sa, Hui Yuan, Jingui Ma, Zhigang Yang, Mei Wang, Weibiao Wang, Lingling Yang, Fen Ma, Weiman Zhang, Gidion Wilson Mening'oo, Guoning Chen, Xueqin Ma   +11 more
wiley   +1 more source

Interference of ATP‐Binding Cassette Transporter by Functional Nano‐Delivery System for High Efficiency Management of Insecticide‐Resistant Nilaparvata lugens

Advanced Science, EarlyView.
A ZIF‐90 nanocarrier delivers dinotefuran and suppresses NlABCG3 and NlABCH1 in resistant Nilaparvata lugens. This system combines pH/ATP‐triggered release with enhanced foliar retention, improving efficacy while sparing honeybees and promoting rice growth, offering a promising resistance‐breaking strategy.
Chengshuai He, Hejun Ren, Shuo Zhang, Jikang Cheng, Hui Zhang, Jiao Liu, Sijie Wang, Congfen Gao, Yanchao Zhang, Yunhao Gao   +9 more
wiley   +1 more source

pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R. [PDF]

Brief Funct Genomics
Kolisnik T, Keshavarz-Rahaghi F, Purcell RV, Smith ANH, Silander OK.   +4 more
europepmc   +1 more source