Abstract A new ensemble framework for an interpretable model called linear iterative feature embedding (LIFE) has been developed to achieve high prediction accuracy, easy interpretation, and efficient computation simultaneously. The LIFE algorithm is able fit a wide single-hidden-layer neural network (NN) accurately with three steps: defining the subsets of dataset by projections nodes, creatin...

Medical image analysis is a critical job for the clinicians and radiologists to attain minute insights proper diagnosis. The presence of complementary details region interest (ROI) from multiple medical imaging modalities instigates researchers integrate or combine pathological ease clinical In this paper, objective obtain comprehensive that presents composite two multimodal images same ROI. ba...

Website content and services attract surfers to visit page. Random visitor or first time need more user suggestion for increasing the retaining of user. This work has worked in field web page prediction as per previous visits. Web mining logs features were further processed extract linear regression feature from work. Extracted used testing phase. Frog leaping genetic algorithm was population g...

electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...

physical characteristics of different features in desert is a reflection of severe thermal and climatic conditions. in this paper, diurnal surface temperature patterns of important surface features in lut desert were studied and the relationship among different surfaces analyzed. diurnal trend in surface temperature of surface types, marl, dark sand, light sand, salt-affected soil, soul at 10 c...