Results 61 to 70 of about 4,112,292 (287)
DELWAVE 1.0: deep learning surrogate model of surface wave climate in the Adriatic Basin [PDF]
Geoscientific Model DevelopmentWe propose a new point-prediction model, the DEep Learning WAVe Emulating model (DELWAVE), which successfully emulates the behaviour of a numerical surface ocean wave model (Simulating WAves Nearshore, SWAN) at a sparse set of locations, thus enabling ...
P. Mlakar +8 more
doaj +1 more source
A Review of Bankruptcy Prediction Studies: 1930-Present [PDF]
, 2007 One of the most well-known bankruptcy prediction models was developed by Altman [1968] using multivariate discriminant analysis. Since Altman\u27s model, a multitude of bankruptcy prediction models have flooded the literature.
Akers, Michael D. +2 more
core +1 more source
Prediction of catastrophes: An experimental model [PDF]
Physical Review E, 2012 Catastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of 'catastrophic' events. Because of the space-time scales involved, an experimental approach is often difficult, not to say impossible, however desirable it could ...
Peters, Randall D. +2 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Environment Conservation Journal, 2012 A new method has been developed for the prediction of rainfall and its quantity at a place given its past record. The new method is being introduced and explained with an example to show how it works. Detailed algorithm is described in the paper.
Priyanka Rajvanshi, Amit Singh
doaj +1 more source
Pediatric 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
Frontiers in Pediatrics, 2022 ObjectiveDevelopment and validation of clinical prediction model (CPM) for serious bacterial infections (SBIs) in children presenting to the emergency department (ED) with febrile illness, based on clinical variables, clinician's “gut feeling,” and ...
Urzula Nora Urbane +6 more
doaj +1 more source
Improvements of the shock arrival times at the Earth model STOA
, 2015 Prediction of the shocks' arrival times (SATs) at the Earth is very important for space weather forecast. There is a well-known SAT model, STOA, which is widely used in the space weather forecast.
Liu, H. -L., Qin, G.
core +1 more source
Synthesizing benchmarks for predictive modeling [PDF]
2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2017 Predictive modeling using machine learning is an effective method for building compiler heuristics, but there is a shortage of benchmarks. Typical machine learning experiments outside of the compilation field train over thousands or millions of examples.
Cummins, C +3 more
openaire +6 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source