Results 111 to 120 of about 41,168 (271)

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

Evi Anlamak

open access: yesKültür Araştırmaları Dergisi
Bu çalışma herkesin aşina olduğu, sosyalizasyon sürecinin ilk başladığı mekân olan “evi nasıl anlayabiliriz?” sorusunu analitik düzlemde tartışarak, evin sahip olduğu mahrem ilişkileri ve gündelik pratikleri ortaya koymaya çalışmıştır. Bunun beraberinde ev ve konut nosyonlarının mekânla kurulan ilişkiden bağımsız olmadığını; evin insan için idealize ...
openaire   +1 more source

Great Slave Lake as a Key Modulator of Dissolved Organic Carbon Fluxes From Boreal Landscapes to the Mackenzie River

open access: yesJournal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract Understanding dissolved organic carbon (DOC) fluxes in boreal freshwater systems is critical for constraining high‐latitude carbon budgets and anticipating climate‐driven changes. Here, we present a retrospective assessment (2000–2024) of DOC fluxes in the Upper Mackenzie River watershed, focusing on Great Slave Lake (GSL), a key hydrological ...
Jiyeong Hong   +8 more
wiley   +1 more source

Generating Diverse Trajectories Using Roadmap Search and Sampling-Based Motion Planning

open access: yesIEEE Access
This paper presents a motion-planning framework for generating a diverse set of collision-free and dynamically feasible trajectories for robots navigating complex environments.
Evis Plaku, Arben Cela, Erion Plaku
doaj   +1 more source

RadioGraphics Update: 2023 FIGO Staging System for Endometrial Cancer

open access: yes
Editor's Note.—RadioGraphics Update articles supplement or update information found in full-length articles previously published in RadioGraphics. These updates, written by at least one author of the previous article, provide a brief synopsis that ...
Sala, Evis   +2 more
core   +1 more source

Assessment of early response to neoadjuvant chemotherapy in multi-site high-grade serous ovarian cancer using hyperpolarized-13C MRI [PDF]

open access: yes
Background: To evaluate the capability of hyperpolarized [1-13C] pyruvate MRI to predict pathologic response to neoadjuvant treatment in multi-site abdominopelvic disease of high-grade serous ovarian cancer (HGSOC) patients and to compare 13C MRI and ...
Sala, Evis
core   +1 more source

Decoding XCO2 Distributions Over the Indian Subcontinent Using Deep Neural Network Based High‐Resolution Long‐Term Satellite Observations

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract India often faces challenges in monitoring atmospheric carbon dioxide (CO2) through satellite observations due to persistent cloud cover, especially during the monsoon season. This limitation affects the continuous tracking of carbon and hinders accurate assessments of carbon‐climate interactions.
Digvijay Kumar Singh   +4 more
wiley   +1 more source

Prognostic value of MYD88/CXCR4 mutation allele fraction in Waldenström macroglobulinemia using a multiplex ddPCR assay

open access: yes
HemaSphere, Volume 10, Issue 6, June 2026.
Eleni Thanou   +18 more
wiley   +1 more source

Spatiotemporal dynamics and machine learning‐based prediction of above‐ground biomass in the Indus Delta mangroves

open access: yesFunctional Ecology, Volume 40, Issue 6, Page 1776-1789, June 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Mangrove forests are important blue carbon ecosystems, yet long‐term above‐ground biomass (AGB) dynamics in arid deltaic systems remain poorly understood. Here, we integrated field‐derived AGB data with multisource remote sensing and machine learning models (random ...
Muhammad Naveed   +10 more
wiley   +1 more source

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