Predicting Progression From Mild Cognitive Impairment to Alzheimer's Dementia With Adversarial Attacks. [PDF]
IEEE J Biomed Health InformBaytas IM.
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Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.Overview of key research challenges in forest disturbance monitoring, including the detection of disturbances of varying severity, the attribution of disturbance agents, and the development of models capable of generalizing across regions. ABSTRACT Climate change and land use pressures are intensifying forest disturbances in many world regions, as ...
Carolina Natel +3 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Rainfall nowcasting, the short‐term prediction of precipitation, is a vital component of early warning systems aimed at mitigating the effects of extreme weather events. In this study, we develop a deep learning approach based on convolutional neural networks (CNNs) for rainfall nowcasting and train it exclusively on data from rain gauge ...
Fereshteh Taromideh +4 more
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Defense against adversarial attacks: robust and efficient compressed optimized neural networks. [PDF]
Sci RepKraidia I, Ghenai A, Belhaouari SB.
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Journal of the Royal Anthropological Institute, Volume 32, Issue 2, Page 456-473, June 2026.While death remains a popular topic for anthropology, relatively few ethnographic accounts consider the modern bureaucratic processes accompanying it. One such process is public health autopsy, which scholars have largely taken for granted. Existing analysis has regarded it as a form of ‘cultural brokering’ and autopsy reluctance in communities is seen,
David M.R. Orr
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JAWRA Journal of the American Water Resources Association, Volume 62, Issue 3, June 2026.ABSTRACT Long‐term drought and aridification challenge water managers in the southwestern United States to ensure water security for growing urban populations. As reliable supply dwindles, managers must increasingly rely on demand management strategies whose success is predicated on community water literacy, an aggregate of water knowledge, attitudes ...
Meghan J. McCarroll +3 more
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Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation. [PDF]
Entropy (Basel)Yamada Y +3 more
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Relational legal consciousness and the mobilization of the law of the inquest in England and Wales
Journal of Law and Society, Volume 53, Issue 2, Page 291-314, June 2026.Abstract This article explores the legal consciousness of bereaved people in contact with the coronial system in England and Wales, drawing on an interview‐based empirical study. Informed by socio‐legal scholarship on relational dimensions of legal consciousness and citizens’ mobilization of the law, the article analyses the relationships within and ...
JESSICA JACOBSON +2 more
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GRENet: GNSS‐Enhanced Radar Extrapolation Network for Precipitation Nowcasting
Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.Abstract Accurate precipitation nowcasting is one of the most challenging tasks in atmospheric sciences. The current methods of nowcasting primarily rely on inferring precipitation from radar reflectivity, which inevitably leads to uncertainties in forecasts due to the limitations of single radar data in capturing the detailed initial conditions of ...
Cuixian Lu +7 more
wiley +1 more source
Adversarial Attacks against Deep-Learning-Based Automatic Dependent Surveillance-Broadcast Unsupervised Anomaly Detection Models in the Context of Air Traffic Management. [PDF]
Sensors (Basel)Luo P, Wang B, Tian J, Liu C, Yang Y.
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