Results 41 to 50 of about 223,989 (265)

Classifying Forest Type in the National Forest Inventory Context with Airborne Hyperspectral and Lidar Data

open access: yesRemote Sensing, 2021
Forest structure and composition regulate a range of ecosystem services, including biodiversity, water and nutrient cycling, and wood volume for resource extraction.
Caileigh Shoot   +5 more
doaj   +1 more source

Survival by Race and Ethnicity in Children and Adolescents/Young Adults With Relapsed/Refractory Hodgkin Lymphoma: A Pooled Analysis of Children's Oncology Group Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Despite 5‐year survival rates of over 90% among children and adolescents/young adults (CAYAs) with classic Hodgkin lymphoma (cHL), 15%–20% relapse after frontline therapy. Prior analysis of frontline Children's Oncology Group (COG) clinical trials demonstrated that, despite similar rates of relapse, non‐Hispanic Black (NHB) and ...
Mallorie B. Heneghan   +14 more
wiley   +1 more source

Investigation of classification of support vector machine on the estimation of the deciduous broad-leaved forests area in the north of Iran

open access: yesTemas Agrarios
During the last decades, Caspian forests have been attacked by human interference. Easy access, abundance and diversity of valuable forest products have led to the increase in population density, the creation of new residential areas and the activity of ...
Mohammadreza Tabesh   +4 more
doaj   +1 more source

Continuous Change Detection and Classification—Spectral Trajectory Breakpoint Recognition for Forest Monitoring

open access: yesLand, 2022
Forest is one of the most important surface coverage types. Monitoring its dynamics is of great significance in global ecological environment monitoring and global carbon circulation research.
Yangjian Zhang   +6 more
doaj   +1 more source

Visualisation of Random Forest classification

open access: yesInformation Visualization
Decision Trees (DTs) stand out as a prevalent choice among supervised Machine Learning algorithms. These algorithms form binary structures, effectively dividing data into smaller segments based on distinct rules. Consequently, DTs serve as a learning mechanism to identify optimal rules for the separation and classification of all elements within a ...
Catarina Maçãs   +3 more
openaire   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier   +11 more
wiley   +1 more source

Assessment of classification and positional accuracy of forest boundaries obtained by different classification methods [PDF]

open access: yesGeodetski Glasnik
Certain remote sensing methods have become indispensable in forestry for the purposes of forest management, forest inventories, temporal analyses and mapping of changes, coverage assessment, disease analysis, fire analysis, etc.
Bojić Mirnes   +3 more
doaj   +1 more source

Occurrence of Extramedullary Relapses in Pediatric Acute Lymphoblastic Leukemia After Treatment With Blinatumomab

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We report a retrospective single‐center analysis of pediatric patients with relapsed or refractory B‐cell precursor acute lymphoblastic leukemia focusing on relapses outside of the typical locations, bone marrow, central nervous system, or testes.
Johanna Kunz   +7 more
wiley   +1 more source

A new approach for mapping forest management areas in Canada

open access: yesThe Forestry Chronicle, 2019
Canada’s forests have frequently been characterized using binary classifications such as intact/non-intact or managed/unmanaged. A more nuanced classification approach is needed to better understand the geography of forest management in Canada.
Graham Stinson   +19 more
doaj   +1 more source

CHIRPS: Explaining random forest classification [PDF]

open access: yesArtificial Intelligence Review, 2020
AbstractModern machine learning methods typically produce “black box” models that are opaque to interpretation. Yet, their demand has been increasing in theHuman-in-the-Loopprocesses, that is, those processes that require a human agent to verify, approve or reason about the automated decisions before they can be applied.
Julian Hatwell   +2 more
openaire   +2 more sources

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