Abstract Although many papers have used fractal dimension (FD) to analyze magnetic resonance imaging (MRI) for detecting various brain diseases, especially Alzheimer’s disease (AD), they […]
Abstract Commonly, the existing metrics such as mean square error (MSE), peak signal-to-noise ratio (PSNR), quality index (QI), structural similarity index metric (SSIM), and quality […]
Abstract Extreme learning machine (ELM) is a fast learning algorithm for single hidden layer feed-forward neural network (SLFN) based on random input weights which usually […]
Abstract Hinge loss is one-sided function which gives optimal solution than that of squared error (SE) loss function in case of classification. It allows data […]
Abstract A 3D model representing an object in three dimensions is employed in a variety of domains such as object analysis, simulation, and medical model. Currently, […]
Abstract Currently, the use of speech recognition is increasingly in many applications such as mobile device interaction, interactive voice response system, voice search, voice dictation […]
Abstract Finger-knuckle-print (FKP) is becoming a new challenge in biometric recognition. The FKP pattern contains multiple lines with uncertain directions, which are rich distinguishing features […]
Abstract Adaptive thresholding, the simple way to perform image segmentation, is a form of image thresholding used to classify pixels as dark and light. Taking […]
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