Titlebook: Engineering Software for Modern Challenges; First International Dayang Norhayati A. Jawawi,Imran Sarwar Bajwa,Rafa Conference proceedings

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Peter J. Buckley,Adam R. Cross,Hinrich Voss has also been implemented. Make and model recognition of a vehicle using ResNet-152 and Xception are the novel contribution in this paper as these deep learning architectures have never been investigated in this context. Different convolutional neural networks (CNNs) are trained and tested using th

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harpsichord

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ECG769

Detection and Prevention COVID- 19 Patients Using IoT and Blockchain Technologyy and transvers. Sensors collect the different symptoms of a person for COVID-19 then this information will be communicated to other entities like government database, quarantine center and rescue office. This corona belt can detect a person as safe, suspected, high Suspected and positive. A person

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Vehicle Recognition Using Multi-level Deep Learning Models has also been implemented. Make and model recognition of a vehicle using ResNet-152 and Xception are the novel contribution in this paper as these deep learning architectures have never been investigated in this context. Different convolutional neural networks (CNNs) are trained and tested using th

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IMMFV2: Improved Modified Fermat Factorization Algorithmthms which are Modified Fermat Factorization and Modified Fermat Factorization V2 and its comparison with our proposed Improved modified Fermat Factorization V2. The calculations have been given in detail and these calculations have been calculated and evaluated in net beans software. And the compar

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