Results 91 to 100 of about 38,464 (255)

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Abnormal user identification based on XGBoost algorithm

Journal of Measurement Science and Instrumentation, 2018
The eXtreme gradient boosting（XGBoost）algorithm is used to identify abnormal users.Firstly,the raw data were cleaned.Then user power characteristics were extracted from different aspects.Finally,the XGBoost classifier was used to identify the abnormal ...
SONG Xiao-yu, SUN Xiang-yang, ZHAO Yang
doaj  

Design of intelligent detection method for electricity transmission line equipment defect based on data mining algorithm

International Journal of Thermofluids
Electricity transmission line is the most significant way of power transmission. Regular detection of it can find and eliminate its defects and hidden dangers in time and prevent major accidents, which is of great significance to the power system.
Xiang Yin, Ya Zuo, Gaoshan Fu
doaj   +1 more source

CausalCellInfer: Prioritizing Cell‐Type‐Specific Disease Associations From Genetically Predicted Transcriptomes in Biobank Cohorts

Advanced Science, EarlyView.
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin, Yujia Shi, Ruoyu Zhang, Yong Xiang, Jinghong Qiu, Pak‐Chung Sham, Hon‐Cheong So   +6 more
wiley   +1 more source

Precision Nanomedicine for Traumatic Neural Injury: Functional Paradigms and Translational Frameworks

Advanced Science, EarlyView.
This review presents a pathology‐driven framework unifying nanomedicine across TBI, SCI, and PNI. Epidemiological evidence and comparative single‐cell transcriptomic reanalysis define shared pathological modules, injury‐specific effectors, and therapeutic bottlenecks. Six functional paradigms connect nanomaterial structure and biological fate to injury‐
Mouyuan Sun, Shuangyang Li, Zhixu He, Jingyi Xie, Yaxian Luo, Xuankai Fan, Jingyu Zhang, Luying Qin, Lianjie Peng, Tao Qiu, Tian Zhang, Huiming Wang, Mengfei Yu   +12 more
wiley   +1 more source

Enriched Soil Organic Carbon Underpins Long‐Term Stable Crop Productivity Across China's Croplands

Advanced Science, EarlyView.
Quantifying the nonlinear relationships and causal effects of soil organic carbon (SOC) on crop stability reveals specific critical thresholds and saturation points. This partitions the national SOC spectrum into three functional phases. Integrating these spatial delineations with high‐resolution maps of marginal gains pinpoints regions with the ...
Yuyang Huang, Yulin Shangguan, Zhongkui Luo, Peng Zhu, David Makowski, Zhenzhong Zeng, Qingxu Ma, Min Wei, Yuanyuan Du, Su Ye, Zhou Shi, Songchao Chen   +11 more
wiley   +1 more source

Pre‐Refinement Prediction of Dopant Site Occupancy in M‐Type Hexaferrites via Hierarchical and Uncertainty‐Aware Machine‐Learning

Advanced Science, EarlyView.
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu, Jianyu Ren, Ruoshui Liu, Yinong Yin, Jianfeng Xi, Xin Ming, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Baogen Shen   +9 more
wiley   +1 more source

APPICATION OF XGBOOST ALGORITHM IN HOUSING ASSET VALUATION

World Journal of Information Technology
Machine learning models supported by big data have been practiced and applied in many ways in recent years, and as a representative technology of artificial intelligence, machine learning models have been proved to be able to perform well in many predictive problems such as economics and management.
BoHong Wang, YiXuan Guo, ChaoLin Hou, ZhiLing Zhang   +3 more
openaire   +1 more source

When are Two‐Dimensional Covalent Organic Frameworks Good Electrodes for Lithium Ion Batteries? A Data‐Driven Analysis

Advanced Science, EarlyView.
A data‐driven framework integrating density‐functional theory with machine learning models screens two‐dimensional covalent organic frameworks (2D COFs) from CoRE COF database to reveal atomic‐level design rules: N/O‐rich coordination pockets drive cathode behavior, while separated redox sites and π‐rich galleries enable anode function in Li‐ion ...
Preeti Bhauriyal, Shubhajit Das, Thomas Heine   +2 more
wiley   +1 more source

An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application

International Journal of Digital Earth
Urban land surface temperature (LST) is critical for understanding urban thermal environments and expansion. Compared with natural surfaces, urban areas have complex geometric structures causing multiple scattering and adjacency effects.
Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang   +14 more
doaj   +1 more source