Titlebook: Cognitive Computing and Cyber Physical Systems; Third EAI Internatio Nishu Gupta,Prakash Pareek,M.J.C.S. Reis Conference proceedings 2023 I

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Injuries of the Acromioclavicular Jointns for the Classifier Selection use the pool of machine learning classifiers that are used the most frequently as a contribution. Additionally, the display of the machine learning classifiers without using the computations for the Selection of Classifiers is also examined. Classifier selection calcu

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Injuries of the Sternoclavicular Joint there is a need to maintain DAN data in a database system. This paper proposes a structured model of storing the NDOs in a relational model for efficient maintenance of data objects and for effective routing of NDOs between clients, publishers and DAN agents.

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https://doi.org/10.1007/978-1-4471-4676-6izing procedure to increase the re-covered image information. With a training set of eighty images, the network is trained by means of mean square error (MSE). The proposed method utilizing peak signal to noise ratio (PSNR) and structural similarity (SSIM) index measures are used to assess the resto

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Gavin Bowyer MA, Mchir, FRCS (Orth)mising the image quality. Hence, this work is focused on reducing the computational time for image dehazing through multilevel discrete (Haar) wavelet transform, in which the image dimensions has been reduced without degrading quality. The performance measures of proposed algorithm have been analyse

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,Silence, Dissent, and?Common Ground,rtain duration, drowsiness is detected and an alarm is sounded for awareness. Python and OpenCV (using Haarcascade library) are the fundamental programming platforms for sensing the facial attributes. In this work, a cost-effective system for the driver’s drowsiness detection is aimed. Further, the

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Publishing Data Objects in Data Aware Networking there is a need to maintain DAN data in a database system. This paper proposes a structured model of storing the NDOs in a relational model for efficient maintenance of data objects and for effective routing of NDOs between clients, publishers and DAN agents.