Results 131 to 140 of about 1,862 (208)
Organizing across cognitive asymmetry in human–AI collaboration: A study of perfume creation
Strategic Management Journal, EarlyView.Abstract Research Summary As organizations increasingly adopt generative AI (GenAI), they face a strategic challenge: not only deciding which tasks AI should perform, but also how to organize the integration of human and AI efforts to produce viable solutions.
Tomoko Yokoi +3 more
wiley +1 more source
Smart Molecules, EarlyView.AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
Small Methods, EarlyView.Nanopore technology has revolutionized single‐molecule sensing, yet it suffers from an inherent interpretive challenge. Molecular dynamics has emerged as a go‐to method for determining the relationship between the structure of translocating molecules and the nanopore current signals.
Behzad Mehrafrooz +5 more
wiley +1 more source
A Large Language Model‐Based Approach for Fault Detection and Its Application
Safety Science and Technology, EarlyView.This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
Crystallization of Water Mediated by Carbon
Geophysical Monograph Series, Page 77-86., 2020 This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
Tianshu Li, Yuanfei Bi, Boxiao Cao
wiley +1 more source
A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley +1 more source
Wind Energy, EarlyView.ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein +2 more
wiley +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
CAAI Transactions on Intelligence Technology, EarlyView.Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven approaches often rely on highly complex network architectures in pursuit of high accuracy, resulting in inherently ...
Guoyu Zuo +7 more
wiley +1 more source
High Voltage, EarlyView.ABSTRACT Diagnosing high‐impedance ground faults (HIGFs) in distribution networks is extremely challenging because high transition resistance significantly reduces electrical signal strength and unpredictable initial fault phase angles coupled with asymmetric voltage disturbances often lead to misclassification.
Zhengyang Li +5 more
wiley +1 more source