Results 51 to 60 of about 1,393,311 (289)

Gompertz model describing co2 evolved from legumes in the soil: bayesian approach with maximum entropy prior

open access: yesActa Scientiarum: Technology
For residues maintained on the soil surface, microbial colonization of the substrate is slower initially due to the microbial population's adaptation phase to the substrate.
Edilson Marcelino Silva   +2 more
doaj   +1 more source

Multi-Objective Optimization of Off-Grid Hybrid Renewable Energy Systems in Buildings with Prior Design-Variable Screening

open access: yesEnergies, 2019
This work presents an optimization strategy and the cost-optimal design of an off-grid building served by an energy system involving solar technologies, thermal and electrochemical storages.
Paolo Conti   +4 more
doaj   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker   +11 more
wiley   +1 more source

Hybrid behavioural-based multi-objective space trajectory optimization

open access: yes, 2009
In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
core   +1 more source

Multi-Objective Optimal Power Flow Based on Hybrid Firefly-Bat Algorithm and Constraints- Prior Object-Fuzzy Sorting Strategy

open access: yesIEEE Access, 2019
In this paper, a novel hybrid firefly-bat algorithm with constraints-prior object-fuzzy sorting strategy (HFBA-COFS) is put forward to solve the strictly-constrained multi-objective optimal power flow (MOOPF) problems.
Gonggui Chen   +3 more
doaj   +1 more source

Simplified priors for Object-Centric Learning

open access: yesCoRR
Humans excel at abstracting data and constructing \emph{reusable} concepts, a capability lacking in current continual learning systems. The field of object-centric learning addresses this by developing abstract representations, or slots, from data without human supervision.
Vihang Patil   +3 more
openaire   +3 more sources

Object Priors for Volumetric Image Segmentation

open access: yes, 2022
Large training datasets have played a vital role in the success of modern deep learning methods in computer vision. But, obtaining sufficient amount of training data is challenging, specially when annotating volumetric images. This is because fully annotating a single image volume require annotating a whole stack of images which is costly.
openaire   +1 more source

Venous Thromboembolism in Pediatric Bone Sarcoma Patients: A 10‐Year, Single‐Institution Experience Encompassing the COVID‐19 Pandemic

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa   +8 more
wiley   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Semantic Prior Analysis for Salient Object Detection [PDF]

open access: yesIEEE Transactions on Image Processing, 2019
Salient object detection aims to detect the main objects in the given image. In this paper, we proposed an approach that integrates semantic priors into the salient object detection process. The method first obtains an explicit saliency map that is refined by the explicit semantic priors learned from data.
Tam V. Nguyen 0002   +2 more
openaire   +2 more sources

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