Results 171 to 180 of about 2,577,242 (312)

Data‐Driven Fatigue Prediction of Superalloys: A Novel Strategy Integrating Transfer Learning and Partial Label Learning for Addressing Ambiguous Data

Advanced Science, EarlyView.
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv, Jiawei Yin, Dayong Wu, Ziyuan Rao, Chao Su, Jie Kang, Qian Wang, Haikun Ma, Huicong Dong, Yandong Wang, Ru Su   +10 more
wiley   +1 more source

EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology. [PDF]

MethodsX
Deshmukh N, Khairnar V, Vora D, Jovanovic A, Mouël FL.   +4 more
europepmc   +1 more source

Transaction Overhead Reduction by Server Localization in Bank Database Management Systems

, 2017
K. Sriraghav, R. Vijayaraghavan, S. Shriram, S.V. Juno Bella Gracia   +3 more
openalex   +1 more source

EnclaveDB: A Secure Database Using SGX

IEEE Symposium on Security and Privacy, 2018
Christian Priebe, K. Vaswani, Manuel Costa   +2 more
semanticscholar   +1 more source

Integrating Single‐Cell Transcriptome‐Wide Mendelian Randomization and Differentially Expressed Gene Analyses to Prioritize Dynamic Immune‐Related Drug Targets for Cancers

Advanced Science, EarlyView.
Inspired by evidence triangulation, a new sensitivity method called MR‐DEG is developed, which uses the differentially expressed gene (DEG) results as additional evidence to minimize pleiotropic effects and strengthen Mendelian randomization (MR) causal estimates. Using dynamic single‐cell expression quantitative trait loci (eQTLs) as an example, it is
Jie Zheng, Qian Yang, Haoyu Liu, Huiling Zhao, Shuangyuan Wang, Yi Liu, Xueyan Wu, Yilan Ding, Hui Ying, Youqiu Ye, Xi Huang, Lei Ye, Ruizhi Zheng, Hong Lin, Mian Li, Tiange Wang, Zhiyun Zhao, Min Xu, Yi Duan, Hao Guo, Zhongshang Yuan, Philip Haycock, George Davey Smith, Richard M Martin, Guang Ning, Fang Hu, Weiqing Wang, Tom R. Gaunt, Jieli Lu, Yufang Bi   +29 more
wiley   +1 more source

Smart battery management in EVs using IoT, blockchain, and machine learning. [PDF]

Sci Rep
Kavitha D, Sharmila B.
europepmc   +1 more source

A formal specification of the correctness criteria for concurrent executions of a transaction system in real time databases. [PDF]

, 2012
Đoàn Văn Ban, Hồ Văn Hương
openalex   +1 more source

IPGCA: A Comprehensive Single Cell Atlas of 1 074 127 Porcine Intestinal Cells Revealing Cellular Dynamics, Genetic Regulation, and Cross‐Species Conservation

Advanced Science, EarlyView.
A high resolution integrated cell atlas of the pig intestine provides insights into the genetic mechanisms of complex traits (Created in BioRender. Yu, P. (2025) https://BioRender.com/o14c563) Abstract The porcine intestinal tract is vital for nutrient absorption, immune regulation, and various physiological processes.
Pengfei Yu, Qinqin Xie, Xiaodian Cai, Zhanming Zhong, Ran Wei, He Han, Shuang Liu, Zhenyang Zhang, Lingyao Xu, Zitao Chen, Zhe Zhang, Qishan Wang, Yuchun Pan, Zhen Wang, Zhe Zhang   +14 more
wiley   +1 more source

Enhancing secure IoT data sharing through dynamic Q-learning and blockchain at the edge. [PDF]

Sci Rep
Bayat M, Jamali MAJ, Abbasi M, Anari B, Akbarpour S.   +4 more
europepmc   +1 more source

Global Diversification Rates of Ferns Across Spatial and Climatic Gradients

Advanced Science, EarlyView.
Diversification rates of fern genera across the phylogeny. Abstract Geographic patterns of diversity in any group of plants are the result of the interplay of environmental conditions and the evolutionary dynamics of the respective plant group. Here, the geographic distribution of current mean diversification rates (MDR) is explored at the genus level ...
Hong Qian, Michael Kessler, Shenhua Qian
wiley   +1 more source