Trend forecasting and proper understanding of the future changes is necessary for planning in health-care area.One of the problems of analytic methods is determination of the number and location of the breakpoints, especially for fluctuation data. In this area, few researches are published when number and location of the nodes are not specified.In this paper, a clustering-based method is develo...

G/SPLINES ate a hybrid of Friedman's Multivariable Adaptive Regression Splines (MARS) algorithm with Holland's Genetic Algorithm. In this hybrid, the incremental search is replaced by a genetic search. The G/SPLINE algorithm exhibits performance comparable to that of the MARS algorithm, requires fewer least-squares computations, and allows significantly larger problems to be considered.

Mars Rovers are the unmanned machines on planet MARS which are send to analyze and provide details about the planet. GPU and Genetic Algorithms are upcoming technologies used in Mars Rovers for analyzing and sending the data back to the Earth base station. GPU stands for Graphics Processing Unit in which Image compression is the basic layout of the technology. Image compression involves WAVELET...

Carbon monoxide (CO) is a sensitive tracer of the thermal profile and winds in Mars' middle atmosphere chemistry that balances CO2 whole Mars. The Emirates Ultraviolet Spectrometer (EMUS) onboard Mars Mission Hope probe images at ultraviolet wavelengths from approximately 100 to 170 nm. ?CO/CO2, column density ratio CO carbon dioxide, provides measure relative variability within Martian thermos...

The model of adaptive hinging hyperplanes (AHH) is proposed in this paper for black-box modeling. It is based on Multivariate Adaptive Regression Splines (MARS) and Generalized Hinging Hyperplanes (GHH) and shares attractive properties of the two. By making a modification to the basis function of MARS, AHH shows linear property in each subarea. It is proved that AHH model is identical to a spec...

This paper introduces a novel hybrid approach, combining machine learning algorithms with feature selection, for efficient modelling and forecasting of complex phenomenon governed by multifactorial nonlinear behaviours, such as crop yield. We have attempted to harness the benefits soft computing algorithm multivariate adaptive regression spline (MARS) selection coupled support vector (SVR) arti...

Monitoring the water contaminants is of utmost importance in resource management. Prediction total dissolved solid (TDS) particularly essential for quality management and planning areas exposed to a mixture pollutants. TDS primarily includes inorganic minerals organic matters, various salts increasing concentration causes esthetic problems. The reflection pollutant burden aquatic system can rem...

Long-term global land surface fractional vegetation cover (FVC) products are essential for various applications. Currently, several global FVC products have been generated from medium spatial resolution remote sensing data. However, validation results indicate that there are inconsistencies and spatial and temporal discontinuities in the current FVC products. Therefore, the Global LAnd Surface ...

Most studies of active aeolian processes on Mars have focused on dust [1], i.e., particles -1 [tm in diameter that are transported in suspension by wind. The presence of sand dunes on Mars [2-8] indicates that larger grains ( >60 _tm, transported primarily in saltation) are also present. Although indirect evidence suggests that some dunes may be active [9], definitive evidence is lacking. Nonet...

The National Library of Medicine (NLM) is developing an automated system to produce bibliographic records for its MEDLINE database. This system, named Medical Article Record System (MARS), employs document image analysis and understanding techniques and optical character recognition (OCR). This paper describes a key module in MARS called the Automated Labeling (AL) module, which labels all zon...