In today's world of pandemic era, it is important to develop new ways of e-learning. E-learning is also associated with finding creative innovation as a part of digital learning, which includes a variety of IT too...
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Dynamic regressor extension and mixing is a new technique for parameter estimation that has proven instrumental in the solution of several open problems in system identification and adaptive control. A key property of...
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Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and...
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Medical image segmentation is a crucial process for computer-aided diagnosis and *** image segmentation refers to portioning the images into small,disjointed parts for simplifying the processes of analysis and *** and speckle noise are different types of noise in magnetic resonance imaging(MRI)that affect the accuracy of the segmentation process ***,image enhancement has a significant role in MRI *** paper proposes a novel framework that uses 3D MRI images from Kaggle and applies different diverse models to remove Rician and speckle noise using the best possible noise-free *** proposed techniques consider the values of Peak Signal to Noise Ratio(PSNR)and the level of noise as inputs to the attention-U-Net model for segmentation of the *** framework has been divided into three stages:removing speckle and Rician noise,the segmentation stage,and the feature extraction *** framework presents solutions for each problem at a different stage of the *** the first stage,the framework uses Vibrational Mode Decomposition(VMD)along with Block-matching and 3D filtering(Bm3D)algorithms to remove the ***,the most significant Rician noise-free images are passed to the three different methods:Deep Residual Network(DeRNet),Dilated Convolution Auto-encoder Denoising Network(Di-Conv-AE-Net),andDenoising Generative Adversarial Network(DGAN-Net)for removing the speckle *** Bm3D have achieved PSNR values for levels of noise(0,0.25,0.5,0.75)for reducing the Rician noise by(35.243,32.135,28.214,24.124)and(36.11,31.212,26.215,24.123)*** framework also achieved PSNR values for removing the speckle noise process for each level as follows:(34.146,30.313,28.125,24.001),(33.112,29.103,27.110,24.194),and(32.113,28.017,26.193,23.121)forDeRNet,Di-Conv-AE-Net,and DGAN-Net,*** experiments that have been conducted have proved the efficiency of the proposed framework a
High accuracy equalization and high power supply rejection ratio equalizer in the receiver of a high-speed serial link presented. To validate the proposed architecture, conducted experiments, for examples, with variou...
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The work is devoted to the actual problem of control system design for underwater vehicles with a high level of autonomy. The article proposes an asymptotic method for separating motions in conjunction with a probabil...
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The paper is dedicated to problem of unknown frequency identification of an unmeasured biased harmonic output disturbance y¯(t) = δ¯ 0 +δ¯ sin(ω¯t +φ¯ ) for a nonlinear system. Unlike know...
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This paper informs about an international initiative of benchmarking introductory programming courses within various higher education institutions. It is based on comparisons of student performance in the final examin...
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