We present an accurate and fast approach for MR-image segmentation of brain tissues, that is robust to anatomical variations and takes an average of less than one minute for completion on modern PCs. The method first corrects voxel values in the brain based on local estimations of the whitematter intensities. This strategy is inspired by other works, but it is simple, fast, and very effective. ...

Heuristics have been widely used in artificial intelligence related fields including path finding. In this paper, the author argue that different heuristics can be integrated to solve the path finding problems and set forward a solution integrating greedy heuristic, directional heuristic and hierarchical heuristic. In greedy heuristic, an improved Dijkstra’s algorithm based on quad heap is set ...

Wireless sensor network extremely popular for monitoring the secluded or unfriendly environments. The duration of the network is the major problem in wireless sensor network .The duration of the wireless sensor is the time in which it covers all the targets. This problem can be solved by observing the less number of the nodule lively at the particular time. The sensors from the active sets are ...

Various algorithms have been proposed for the determination of the optimum paths in linear networks. Moving on a surface is a far more complex problem, where research has been scarce. An example would be the determination of the shortest sea course between two given ports. This paper presents a solution to the problem, which can be easily applied to a variety of surfaces, while considering diff...

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An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the noninvasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists of steps such as preprocessing, segmentation, feature extraction and classification aiming to detect cardiac arrhythmias (i.e., cardiac rhythm abnormalities). Aiming to made a f...

Various algorithms have been proposed for the determination of the optimum paths in line networks. Moving in space is a far more complex problem, where research has been scarce. An example would be the determination of the shortest sea course between two given ports. This paper presents an examination of the problem, states the weaknesses of the existing solutions, and introduces a new approach...

The definition herein of the Graph Path Ordering (GPO) on certain graph expressions is inspired by that of the Recursive Path Ordering (RPO), and enjoys all those properties that have made RPO popular, in particular, well-foundedness and monotonicity on variable-free terms. We are indeed interested in a generalization of algebraic expressions called operadic expressions, which are finite graphs...

Path planning and obstacle avoidance methods are often required for robots working in more and more complicated environments. This paper introduces a novel approach called Voronoi Strains for solving this task. The algorithm applies particle swarm optimization of cubic splines which are connected to strings. The initialization of the evolutionary algorithm is based on the Voronoi graph method a...

CBIR System consist of large datasets with millions of image samples for statistical analysis, hence putting tremendous challenge for pattern recognition techniques, which needs to be more efficient without compromising effectiveness. The image samples are stored in a database in the form of feature vectors. Pattern Recognition Technique requires a high computational burden for learning the dis...