Crop yield forecasting is becoming more essential in the current scenario when food security must be assured, despite problems posed by an increasingly globalized community and other environmental challenges such as climate change natural disasters. Several factors influence crop prediction, which has complex non-linear relationships. Hence, to study these relationships, machine learning method...

Soft computing techniques are increasingly being used for problem solving. This paper addresses using an ensemble approach of different soft computing and hard computing techniques for intrusion detection. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security, and yet it remains an elusive goal and ...

We present a multi-agent architecture for playing the game of Risk which is a multi-player game where the players control armies and try to conquer the world through attacking each others territories. Our solution puts an agent in every territory, and let them negotiate about what actions to prioritize in the phases of placing armies, attack, and fortify. The results of a tournament of 13 parti...

This article revisits the relationship between IT and productivity, and investigates the impact on information technology (IT) investments. Using the MARS techniques, we show that although IT Stock is the greatest predictor variable for productivity (Value Added), it is only significant as an interaction variable, combined with Non-IT Capital, Non-IT Labor, Industry, or Size.

MARS. J. J Plaut 1 , A. Safaeinili 1 , B. A. Campbell 2 , R. J. Phillips 3 , N. E. Putzig 3 , D. C. Nunes 1 , R. Seu 4 . 1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 ([email protected]), 2 Center for Earth and Planetary Studies, National Air and Space Museum, Smithsonian Institution, Washington, D.C. 20560, 3 Southwest Research Institute, Boulder, CO 8030...

Recently, biomass has become an increasingly widely used energy resource. The problem with the use of is its variable composition. most important property that determines content and thus performance fuels such as heating value (HHV). This paper focuses on selecting optimal number input variables using linear regression (LR) multivariate adaptive splines approach (MARS) to create artificial neu...

The complexity of pollutant-mixing mechanism in open channels generates large uncertainty estimation longitudinal and lateral dispersion coefficients (Kx Ky). Therefore, Kx Ky rivers should be accompanied by an analysis, a subject mainly ignored previous studies. We introduce method based on thorough analysis different calibration datasets, resampled from global database tracer studies, to dete...

The Hinich (1982) bispectrum test for nonlinearity and Gaussianity indicates that the residuals of the Tiao-Box (1981) constrained and unconstrained VAR models for the gas furnace data reject the assumption of Gaussianity and linearity over a grid of bandwidths for estimating the bispectrum. These findings call into question the specification of the linear VAR and VARMA models assumed by Tiao-B...