Results 31 to 40 of about 1,001,660 (315)

FLEXiT: A platform for estimating residential energy flexibility for aggregated & disaggregated demand-side management

open access: yesSoftwareX
The large-scale integration of distributed renewable energy sources and electrified end uses increases the need for accurate, scalable assessment of residential demand-side flexibility.
Ioannis Papias   +4 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen   +23 more
wiley   +1 more source

On Minimum Elementary-Triplet Bases for Independence Relations [PDF]

open access: yes, 2019
A semi-graphoid independence relation is a set of independence statements, called triplets, and is typically exponentially large in the number of variables involved.
Bolt, J.H.   +3 more
core  

Health‐Related Social Needs in Children With Sickle Cell Disease Are Associated With Worse Health‐Related Quality of Life

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks   +5 more
wiley   +1 more source

Naive Bayesian classifiers with extreme probability features [PDF]

open access: yes, 2018
Despite their popularity, naive Bayesian classifiers are not well suited for real-world applications involving extreme probability features. As will be demonstrated in this paper, methods used to forestall the inclusion of zero probability parameters in ...
Decision Support Systems   +3 more
core  

From arguments to constraints on a Bayesian network [PDF]

open access: yes, 2016
In this paper, we propose a way to derive constraints for a Bayesian Network from structured arguments. Argumentation and Bayesian networks can both be considered decision support techniques, but are typically used by experts with different backgrounds ...
Scheffler, Tatjana   +9 more
core   +1 more source

System Design of an Online Marketplace Towards the Standardisation of Sustainable Energy Efficiency Investments in Buildings

open access: yesEng
Nowadays, the increase in sustainable investments, especially when it comes to energy efficiency in buildings, has been recognised as an important pillar towards reductions in energy consumption.
Ioanna Andreoulaki   +4 more
doaj   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan   +1 more
wiley   +1 more source

Reshaping the energy landscape of Crete through renewable energy valleys

open access: yesScientific Reports
Renewable energy valleys (REVs) represent a transformative concept poised to reshape global energy landscapes. These comprehensive ecosystems transition regions from conventional energy sources to sustainable, self-reliant hubs for renewable energy ...
Panagiotis Skaloumpakas   +3 more
doaj   +1 more source

Predicting Ship Main Engine Fuel Oil Consumption Using a Mixture of Experts Approach

open access: yesIEEE Access
Predicting ship fuel oil consumption is crucial for optimizing fuel efficiency, reducing operational costs, and minimizing environmental impact. Prior work uses either shallow machine learning (ML) algorithms (e.g., AdaBoost, Bagging, ExtraTrees, Random ...
Loukas Ilias   +4 more
doaj   +1 more source

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