Titlebook: Context-Aware Systems and Applications, and Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Abdur Rakib Confer

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Abnormality Bone Detection in X-Ray Images Using Convolutional Neural Networkces, knowledge, and time to train. Those create a significant barrier for researchers. In this study, we propose a convolutional neural network architecture to detect abnormalities in bone images. The proposed method provides insight into medical images and explains in detail how the model supports the diagnosis.

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Conference proceedings 2021, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication..

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1867-8211 timization, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication..978-3-030-67100-6978-3-030-67101-3Series ISSN 1867-8211 Series E-ISSN 1867-822X

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Elisabetta Indelicato,Sylvia Boeschical data of the Srepok River that were collected in 11 years. The experimental results in this case study show that SAE brings out better prediction accuracy than DBN in terms of three evaluation criteria: correlation, root mean square error, and mean absolute percentage error.

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https://doi.org/10.1007/978-3-031-38643-5The information provided may be age, gender, occupation, symptoms, test information, etc. from which it is necessary to achieve the most accurate diagnosis possible to minimize the work pressure for the medical team as well as minimize the time of diagnosis.