In machine learning, no model achieves 100% accuracy because of their probabilistic nature, and thus they end up providing a probability for false predictions. In B2B applications false predictions have a huge impact ...
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Monocular depth estimation (MDE) has been a basic task in many fields. Currently, researchers usually improve the accuracy of MDE by designing deep neural networks, including complex branches or other components. Alth...
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Post Covid-19 education posed an equally challenging task among teachers and learners. During these times limitation on face-to-face learning and gradual emigration from full online means of instruction had become an ...
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Data augmentation is a popular deep learning strategy for increasing the size of the training set and improving the generalisation capacity of deep learning models, particularly in computer vision problems. this paper...
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this paper describes a software tool for simulating and generating fully parallel generic VHDL representations of Fast Fourier Transforms. A comparison between parallel-parallel and serial-parallel butterflies is perf...
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As we move to smaller CMOS technologies, the need for better testing techniques arises. We investigate the effectiveness of four testing techniques against resistive-open defects. the tests are applied to two adder to...
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At present, the research object of fault diagnosis focuses on single fault diagnosis. this method of diagnosis does not consider the relationship between mechanical equipment faults, and cannot fully identify the type...
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With advancement in IoT and its application in various domains, huge amount of data is available and stored in databases both locally and on the cloud. Health care is one such domain. Patient medical data is stored an...
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the convergence of innovative strategies to human-computer interaction is evidently supported by two underlying research. One experiment involves controlling objects using hand motions, while the other involves identi...
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this paper develops a novel approach to formally verify nested VLSI circuit properties, using bounded model checking and gate-level sequential ATPG tools. this approach improves the verification quality by devising an...
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