Results 181 to 190 of about 45,910 (264)

Recommender Systems: Taxonomy, Applications and Current Research Trends

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
Integrating taxonomy, application developments, open‐source software, and publication trends, this paper identifies and outlines promising future directions for recommender systems research. ABSTRACT Recommender Systems play an essential role in assisting users to navigate the immense amount of information and services available online, aiding them in ...
Daniel Ranchal‐Parrado   +2 more
wiley   +1 more source

Deep Learning for Satellite‐Based Forest Disturbance Monitoring: Recent Advances and Challenges

open access: yesWIREs 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

Mechanisms of Generative Image-to-Image Translation Networks. [PDF]

open access: yesIEEE Access
Chen G, Sun M, Mao ZH, Liu K, Jia W.
europepmc   +1 more source

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

open access: yesJournal 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   +9 more
wiley   +1 more source

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

open access: yesInternational Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro   +3 more
wiley   +1 more source

A review of recent advances in generative artificial intelligence models for biomolecular sciences. [PDF]

open access: yesActa Pharm Sin B
Jiang J   +8 more
europepmc   +1 more source

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

open access: yesAdvanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain   +7 more
wiley   +1 more source

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