Results 181 to 190 of about 148,046 (305)

Costly Evidence and Systems of Fact Finding [PDF]

This paper compares the relative merits of adversarial and inquisitorial systems of civil procedure in the presence of evidence suppression. Each party has the incentive to suppress evidence that may damage her case, and to reveal any evidence that ...
Jesse Bull
core  

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

Deep generative models as an adversarial attack strategy for tabular machine learning

peer reviewedDeep Generative Models (DGMs) have found application in computer vision for generating adversarial examples to test the robustness of machine learning (ML) systems.
Giunchiglia, Eleonora, Cătălina Stoian, Mihaela, Cordy, Maxime, DYRMISHI, Salijona   +3 more
core   +1 more source

AgroPatch AutoStrike for adversarial patch attacks on plant disease detection models. [PDF]

iScience
Wu Y, Wang M, Jin X, Dai Y, Liu L, Yuan W, Ye Y, Zhu Z, Gu L, Zhang Y.   +9 more
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

Improved graph-based model for phishing website detection using multi-level web page graphs and dynamic heterogeneous graph attention network. [PDF]

Front Artif Intell
Kavya S, Sumathi D.
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

Data-Efficient Unsupervised Recalibration of Calorimeter Sensor Arrays Using Wasserstein Adversarial Learning. [PDF]

Sensors (Basel)
Ali S, Bocharnikov V, Ratnikov F, Hushchyn M, Ryzhikov A, Derkach D.   +5 more
europepmc   +1 more source

Investigating Adversarial Attacks on Deep Learning Models for RGB Remote Sensing Image Classification

reservedIn recent years, there have been significant advancements in the field of Deep Learning and also in that of Remote Sensing (RS) technologies. RS image recognition models based on deep convolution neural networks outperform traditional hand-craft ...
MATTELIGH, ELISA
core  

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