Most of the real-world data samples used to train artificial neural networks (ANNs) consist of correlated information caused by overlapping input instances. Correlation in sampled data normally creates confusion over ANNs during the learning process and thus, degrades their generalization capability. This paper proposes the Principal Component Analysis (PCA) method for elimination of correlated...

In this research, a novel computational intelligencebased algorithm to detect artifacts, specifically arrows, in medical images is presented. Image analyses techniques are developed to find the symbols and text automatically. Features are computed from the shape of arrow for the discrimination of arrows from other artifacts. We investigate a biologically-inspired reinforcement learning (RL) app...

During tensile testing, a part of the mechanical work done on the specimen is transformed into heat energy. Using thermal imaging, it is possible to detect and measure the variation of temperature and relate it to the deformation behaviour of the material. It is now well established that Artificial Neural Networks(ANN) can be used to solve complex non-linear classification and prediction proble...

Unmanned aerial vehicles (UAVs) or drones have been widely employed in both military and civilian tasks due to their reliability low cost. UAVs ad hoc networks also acknowledged as flying ad-hoc (FANETs), are multi-UAV systems arranged an manner. In order maintain consistent effective communication, is a prime concern FANETs. This paper presents analytical framework estimate the of drones’ comm...

Carbon monoxide (CO) is one of the main air pollutants produced by incomplete combustion process particularly in the urban areas and exposing to the CO polluted environments will definitely affect human health. Therefore, providing a comprehensive computer modeling based on the current and previous related information for further study, analyses and decision making is of paramount importance. T...

Abstract Tremor is an indicative symptom of Parkinson’s disease (PD). Healthcare professionals have clinically evaluated the tremor as part Unified rating scale (UPDRS) which inaccurate, subjective and unreliable. In this study, a novel approach to enhance severity classification proposed. The proposed combination signal processing resampling techniques; over-sampling, under-sampling hybrid com...

Advancement in Artificial Intelligence has lead to the developments of various “smart” devices. The task of face Recognition has been actively researched in recent years. Wide usage of biometric information for person identity verification purposes, terrorist acts prevention measures and authentication process simplification in computer systems has raised significant attention to reliability an...

Multi layer perceptron with back propagation algorithm is popular and more used than other neural network types in various fields of investigation as a non-linear predictor. Though MLP can solve complex and non-linear problems, it cannot use missing data for training directly. We propose a training algorithm with incomplete pattern data using conventional MLP network. Focusing on the fact that ...

Nowadays, breast cancer is one of the leading causes death women in worldwide. If detected at beginning stage, it can ensure long-term survival. Numerous methods have been proposed for early prediction this cancer, however, efforts are still ongoing given importance problem. Artificial Neural Networks (ANN) established as some most dominant machine learning algorithms, where they very popular a...