background and purpose: the medical educational environment is increasingly becoming the focus of research globally. it is commonly understood that educational environments are an important factor for efficient learning. the present study was done with the aim to evaluation of clinical phase students' perception of learning environment of our teaching hospital and comparing it with the previous...

Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...

We propose a deep learning-based phase retrieval method to accurately reconstruct the optical field of single-sideband minimum-phase signal from directly detected intensity waveform. Our relies on fully convolutional Neural Network (NN) model realize non-iterative and robust retrieval. The NN is trained so that it performs full-field reconstruction jointly compensates for transmission impairmen...

This paper presents an improved Teaching Learning Based Optimization (TLO) and a methodology for obtaining the edge maps of the noisy real life digital images. TLO is a population based algorithm that simulates the teaching-learning mechanism in class rooms, comprising two phases of teaching and learning. The 'Teaching Phase' represents learning from the teacher and 'Learning Phase' indicates l...

The paper presents a system LABAQM for the analysis of laboratory animal behaviour based on qualitative modelling. We are dealing with the cognitive phase of the laboratory animal behaviour analysis as a part of the pharmacological experiments. The system is based on the quantitative data from the tracking application and incomplete domain background knowledge. The LABAQM system operates in two...