Modeling and prediction
Robust and accurate modeling approaches for migraine Per-Patient prediction from ambulatory data
... disorders, and its medical treatment represents a high percentage of the costs of health ...nonspecific, and their prediction horizon is unknown and pretty variable; hence, these symptoms are ...
24
Data mining modeling for the prediction of wear on forming taps in the threading of steel components
... geometries and levels of wear are tested and ...wear and the best performance are identi fi ...zone and around the nominal diameter meant a more uniform load distribution and a more ...
12
TítuloTissue scale, patient specific modeling and simulation of prostate cancer growth
... the prediction of the growth of a prostatic adenocarcinoma according to our model at tissue scale and on a patient-specific basis, that is, we ran our model on the actual geometry of the prostate of the ...
227
new contributions to non linear process monitoring through kernel partial least squares
... KPLS modeling is here extended by adding the projections of the outputs onto the latent ...KPLS modeling is highlighted in order to describe the functional relationships between the spaces induced by the ...
27
Analysis and Quality Control from ARIMA Modeling
... monthly and represent a total of the production for each month, they contain variations due to the length and day-of-the-week composition of the ...time, and movable holidays, for example Easter, ...
8
Mathematical and Numerical Modeling in Maritime Geomechanics
... theoretical and numerical framework to model the foundation of marine offshore structures is ...skeleton and pore fluids (water, air, oil,…) combined with a system of ordinary differential equations ...
21
Channel Measurement and Modeling in Complex Environments
... rail and subway as the key enabling factor for sustainable mobility have offered great simplicity for people’s traveling and low-cost ...consumption and limited air pollution than other modes ...
204
TítuloPointwise forecast, confidence and prediction intervals in electricity demand and price
... model and forecast elec- tricity demand and price take information from scalar variables; that is the case of researches referred in the previous ...Paparoditis and Sapatinas (2013) introduced a ...
273
Predicting underground tunnel hazards using machine learning techniques
... burst and squeezing problems discussed herein. And, similarly, those traditional methods for rock burst and squeezing predictions are meant to be employed under a ‘complete state of information’, or ...
184
TítuloMultyphase fluid hammer : modeling, experiments and simulations
... materials and compression ...fluid and leaving a gas bubble in the tube side with a closed end, as shown in figure ...rate, and the results are focused only on the occurrence of the hydrazine ...
242
The equatorial electrojet radar observations and modeling
... [Hysell and Chau , 2001; Shume et al, ...technique, and experimental uncertainties, (iii) compar- ison of the inferred density with other estimates and the procedure employed ...
212
Earthquake prediction technology : the present state and future development
... 8bs9r\'at1on and research 1tems rele,ant to lor,g-term ...re"'earch, and regional works ...act1,it\ and further accuracv o! locat1on an� magnitucc cf ...
29
The NGC 404 Nucleus: Star Cluster and Possible Intermediate mass Black Hole
... center and the NSC at larger radii, implying a Δ(H − K) < ...image and the NIFS dust-subtracted image for the effects of the ...UV and NIR using the same instrument will be extremely useful for ...
19
Modeling and specification of distributed timed systems
... for modeling RTS are Timed Automat (TA) Alur & Dill (1994), Event Clock Automata (ECA) Alur & Henzinger (1998) and Recursive Event Clock Automata (RECA) Henzinger et ...precision and are ...
10
Textured Multiferroics: 2 D Diffraction and Properties Prediction
... A methodology for the predictive estimation of diffraction-based effective properties of fibretextured materials has been briefly discussed. Associated computer programs (SAMZ and ANAELU) were described and ...
9
The dust cycle and impacts: observation and prediction of airborne dust
... AEMET and the BSC to host the first Regional Specialized Meteorological Center with activity specialization on Atmospheric Sand and Dust Forecast ...generate and distribute dust predictions for ...
58
Low complexity hevc intra coding
... RMD and RDO. The selection of the optimal partition size and prediction mode is formulated as an optimization problem for the distortion, subject to bit rate ...RMD and RDO address this ...
214
SINUSOIDAL AND ENVELOPE-MODULATION MODELING
... line-spectrum modeling (CLSM), was developed to estimate the true signal components from the clustered spectrum ...sinusoidal modeling is performed ...
6
Matlab and Simulink for Modeling and Control
... Magnetic levitation as a friction-less support for high-speed trains, in bearings of low-energy motors, etc. It consists of an electromagnet which is attracted to an object made of a magnetic material (such as a rail). ...
12
CAVITATION NOISE MODELING AND ANALYZING
... Oscillating cavitation bubbles represent a source of intensive pressure waves. As these waves have a random character, they are called cavitation noise. Cavitation noise is carrying information about the oscillating ...
5