Results 241 to 250 of about 452,858 (310)

Research on children's health prediction based on Improved Grey Wolf Optimization algorithm-Random Forest model. [PDF]

Medicine (Baltimore)
Xu H, Hu J.
europepmc   +1 more source

Precipitation‐Modulated Harmonic Architectures Enable Superior Strength–Ductility Synergy from Cryogenic to Elevated Temperatures in Nanostructured Alloys

Advanced Science, EarlyView.
Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li, Liangyin Xiong, Mengchao Niu, Junhua Luan, Wei Wang, Zengbao Jiao   +5 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Predicting flexural strength in fiber-reinforced UHPC via random forest. [PDF]

Sci Rep
Sarmiento-Pupo KD, Escalante-Tovar JD, Altamiranda JE, Abellan-Garcia J, Vélez JI.   +4 more
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments. [PDF]

Sci Rep
Kafy AA, Rafi AH, Alsulamy S, Shohan AAA, Baky AA, Bahiru TK.   +5 more
europepmc   +1 more source

A Virus‐Inducible E3–RLCK–MADS Module Coordinates Suppression of Plant Immunity and Fertility in Rice

Advanced Science, EarlyView.
ABSTRACT Viruses often hijack host developmental programs to promote infection, but the mechanistic links between reproductive regulation and antiviral immunity remain incompletely understood. Here, we identify a virus‐triggered hierarchical degradation cascade that links antiviral immunity and fertility regulation in rice. We show that the rice grassy
Yuansheng Wu, Fengling Wu, Shiting Huang, Denglu Yang, Xin Lei, Xue Zhang, Na Liu, Peng Gan, Chuan Li, Jie Zhang, Ming Wu, Qingxiao Jia, Shanshan Zhao, Jianguo Wu   +13 more
wiley   +1 more source

Retraction Note: Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization. [PDF]

Sci Rep
Uppalapati S, Paramasivam P, Kilari N, Chohan JS, Kanti PK, Vemanaboina H, Dabelo LH, Gupta R.   +7 more
europepmc   +1 more source

A Soft Mechanoluminescent Skin for High‐Resolution Optical Tactile Sensing in Human–Machine Interaction

Advanced Science, EarlyView.
A soft mechanoluminescent tactile sensor that converts force directly into light is presented, enabling imaging‐based, wiring‐free touch sensing. By integrating a flexible ML‐skin with CMOS readout, the system achieves high sensitivity, fast response, and high spatial resolution, while maintaining structural simplicity and energy efficiency, offering a
Yu Feng, Qiaojiao Wang, Yehui Liu, Jiankun Li, Senlin Hou, Xiaomeng Yang, Ziyi Li, Yanji Yi, Meng Chen, Guanglie Zhang, Hao Sun, Wen Jung Li   +11 more
wiley   +1 more source

Analysis of the empowerment of disabled older people in rural areas in Henan Province based on the random forest algorithm: a survey. [PDF]

BMC Geriatr
Li X, Yan Y, Zhang H, Dong S, Zhang Y.
europepmc   +1 more source