Results 41 to 50 of about 632 (126)

Advancing Marine Bioacoustics With Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Automated detection and classification of marine mammal vocalizations is critical for conservation and management efforts but is hindered by limited annotated datasets and the acoustic complexity of real‐world marine environments. Data augmentation has proven to be an effective strategy to address this limitation by increasing dataset ...
Bruno Padovese, Fabio Frazao, Michael Dowd, Ruth Joy   +3 more
wiley   +1 more source

HE-CloudML: a privacy-preserving framework for secure machine learning inference over encrypted cloud data using homomorphic encryption

Scientific Reports
The widespread adoption of cloud-based Machine Learning as a Service (MLaaS) exposes sensitive user data to critical privacy risks during inference, as plaintext data must typically be processed by untrusted cloud servers. This paper presents HE-CloudML,
Abdullahi Ahmed Abdirahman, Abdirahman Osman Hashi, Ubaid Mohamed Dahir, Mohamed Abdirahman Elmi   +3 more
doaj   +1 more source

Covariance Estimation for Wide Data

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Covariance matrix estimation is fundamental to multivariate analysis, with applications spanning finance, genomics, climate science, and signal processing. This review synthesizes recent advances in high‐dimensional covariance estimation‐thresholding, linear and nonlinear shrinkage, graphical models, and random matrix theory‐under a unifying framework ...
Eran Raviv
wiley   +1 more source

Transient Porosity During Fluid‐Mineral Interaction, Part 2: Reconstruction Using Generative AI

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 6, June 2026.
Abstract Quantifying fluid–rock interactions within the lithosphere is vital for both geological processes and applications such as CO2 ${\text{CO}}_{2}$ storage and geothermal energy development. Mineral replacement reactions generate transient pore networks that enhance fluid flow, yet many pores become isolated once reactions are completed, reducing
Hamed Amiri, Vangelis Dialeismas, Damien Freitas, Roberto Rizzo, Alireza Chogani, Oliver Plümper   +5 more
wiley   +1 more source

Distribution‐Guided Ensemble Postprocessing for S2S Precipitation Forecasts: A Seamless Pathway Using Deep Generative Models

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Atmosphere‐ocean‐land coupled forecasting systems, despite their comprehensiveness, face substantial challenges in the “predictability desert” at subseasonal to seasonal (S2S) timescales, particularly for precipitation—a variable crucial for socioeconomic activities yet of stunning spatiotemporal variance. Post‐processing methods developed for
Wen Shi, Baoxiang Pan, Jianbin Huang, Tingfeng Dou, Jie Feng, Huihui Yuan, Anran Wang, Xin Xia, Lei Huang, Yong Luo   +9 more
wiley   +1 more source

Robustness Recipes for Minimax Robust Optimization in Intensity Modulated Proton Therapy for Oropharyngeal Cancer Patients

International Journal of Radiation Oncology*Biology*Physics, 2016
We aimed to derive a "robustness recipe" giving the range robustness (RR) and setup robustness (SR) settings (ie, the error values) that ensure adequate clinical target volume (CTV) coverage in oropharyngeal cancer patients for given gaussian distributions of systematic setup, random setup, and range errors (characterized by standard deviations of Σ, σ,
Sebastian van der Voort, Steven van de Water, Zoltán Perkó, Ben Heijmen, Danny Lathouwers, Mischa Hoogeman   +5 more
openaire   +6 more sources

Harnessing allelic variation to improve the protein content and amino acid profiles of food legumes

Crop Science, Volume 66, Issue 3, May/June 2026.
Abstract The growing demand for safe and nutritious foods places unprecedented demands on agriculture. Widespread malnutrition in the Global South could be minimized by including legumes in predominantly cereal‐based cropping systems. Regular legume consumption provides multiple health benefits to humans, positively impacts soil health and microbiome ...
Sangam L. Dwivedi, Bekele G. Kelbessa, Ramesh R. Vetukuri, Rodomiro Ortiz   +3 more
wiley   +1 more source

Hierarchical Game‐Theoretic Defense Strategy for Coordinated Attacks in Hybrid AC/DC Cyber‐Physical Power Systems

Energy Internet, Volume 3, Issue 1, Page 52-65, April 2026.
ABSTRACT This paper proposes a game‐theoretic optimisation framework for designing attack and defence strategies in hybrid AC/DC cyber‐physical power systems (CPPS). The proposed framework employs a three‐layer planning hierarchy. The upper layer introduces a novel target importance index combining complex network theory and power flow entropy.
Kaishun Xiahou, Xiaomin Lu, Yuchen Zeng, Wei Du, Jiehui Zheng, Zhaoxi Liu   +5 more
wiley   +1 more source

Minimaxness and finiteness properties of local homology and local cohomology modules

Indian Journal of Pure and Applied Mathematics, 2018
We prove some results concerning minimaxness and finiteness of local homology modules and by Matlis duality we extend some results for the minimaxness and finiteness of local cohomology modules. We introduce the concept of C-minimax R-modules, and we discuss the maximum and minimum integers such that local homology and local cohomology modules are C ...
openaire   +1 more source

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source