Results 171 to 180 of about 3,499,798 (281)

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation. [PDF]

Soc Netw Anal Min, 2023
Huang S, Wu X, Wu X, Wang K.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction. [PDF]

Front Comput Neurosci, 2023
Yang Y, Qin X, Wen H, Li F, Lin X.
europepmc   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent. [PDF]

Pattern Recognit, 2023
Lanfredi RB, Schroeder JD, Tasdizen T.
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media. [PDF]

Sensors (Basel), 2022
Ni S, Li J, Kao HY.
europepmc   +1 more source

The Ecological U‐Turn in Nordic Forestry: Policy Learning, Measurement, and the Retrenchment of Ecological Ambitions

Environmental Policy and Governance, EarlyView.
ABSTRACT Since the 1990s, environmental policy has shifted toward ecosystem protection and biodiversity conservation, a development often described as an ecological turn. This article argues that in practice this turn has taken the form of an ecological “U‐turn,” as environmental ambitions are subordinated to production‐oriented objectives.
Gisle Andersen, Monika Berg, Hogne Lerøy Sataøen   +2 more
wiley   +1 more source

GA2AD: a generalized adaptive adversarial training framework considering surrounding hybrid risk field for autonomous driving. [PDF]

Nat Commun
Xu H, Ci Y, Long Y, Liang C, Wu L, Chen X, Ghazel M, Feng L.   +7 more
europepmc   +1 more source