Results 201 to 210 of about 61,624 (324)

Learning From PU Data Using Disentangled Representations. [PDF]

open access: yesProc Int Conf Image Proc
Zamzam O   +3 more
europepmc   +1 more source

Breaking the Barriers of Molecular Dynamics With Deep‐Learning: Opportunities, Pitfalls, and How to Navigate Them

open access: yesWIREs Computational Molecular Science, Volume 16, Issue 1, January/February 2026.
The scientist is hiking towards the treasure of accurate and predictive simulations of relevant phenomena. Molecular Dynamics shows a path riddled with obstacles such as accuracy, speed or sampling issues. Deep‐learning offers a way around these obstacles, but runs into hurdles of its own.
Klara Bonneau   +15 more
wiley   +1 more source

Advancing Mediterranean Biodiversity Monitoring in South Africa Through Machine Learning and Cost‐Effective UAS Imagery

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 1, January 2026.
Abstract The Greater Cape Floristic Region (GCFR) of South Africa is globally recognized for its exceptional plant diversity and endemism, yet faces mounting threats from habitat loss, altered fire regimes, and invasive species. Fire is a key ecological driver in the Fynbos (shrubland) biome of the GCFR, influencing vegetation structure, composition ...
Manisha Das Chaity   +5 more
wiley   +1 more source

Learning Vector Quantization Neural Networks Improve Accuracy of Transcranial Color-coded Duplex Sonography in Detection of Middle Cerebral Artery Spasm—Preliminary Report

open access: green, 2008
Mirosław Świercz   +7 more
openalex   +1 more source

A Century of Drought Research (1900–2023): Scientific Developments, Methodological Innovations, and Emerging Frontiers

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Abstract Drought significantly affects water resources, agriculture, energy, and ecosystems, revealing enduring socio‐economic vulnerabilities over the centuries. This review synthesizes a century of development and recent advances in drought research (1900–2023), drawing on a bibliometric analysis of over 152,000 peer‐reviewed publications. The review
Amitesh Sabut, Ashok Mishra
wiley   +1 more source

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