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Improved versions of snake optimizer for feature selection in medical diagnosis: a real case COVID-19
Classification of medical data is largely dependent on the effective identification of key features of the data that can be used to aid in the...
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Arabic Handwritten Recognition Using Deep Learning: A Survey
In recent times, many research projects and experiments target machines that automatically recognize handwritten characters, but most of them are...
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Dense adaptive cascade forest: a self-adaptive deep ensemble for classification problems
Recent researches have shown that deep forest ensemble achieves a considerable increase in classification accuracy compared with the general ensemble...
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Media forensics on social media platforms: a survey
The dependability of visual information on the web and the authenticity of digital media appearing virally in social media platforms has been raising...
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Outbreak COVID-19 in Medical Image Processing Using Deep Learning: A State-of-the-Art Review
From the month of December-19, the outbreak of Coronavirus (COVID-19) triggered several deaths and overstated every aspect of individual health....
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Role of Artificial Intelligence for Skin Cancer Detection
Artificial intelligence and its applications are applied in almost every aspect of human life. There is no such paradigm in which its utilization is...
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DiscoStyle: Multi-level Logistic Ranking for Personalized Image Style Preference Inference
Learning based on facial features for detection and recognition of people’s identities, emotions and image aesthetics has been widely explored in...
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Image semantic segmentation with an improved fully convolutional network
With the development of deep learning and the emergence of unmanned driving, fully convolutional networks are a feasible and effective for image...
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A technical view on neural architecture search
Due to the discovery of innovative and practical neural architectures, deep learning has achieved bright successes in many fields, such as computer...
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Computer-aided detection in chest radiography based on artificial intelligence: a survey
As the most common examination tool in medical practice, chest radiography has important clinical value in the diagnosis of disease. Thus, the...
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Approximate Computing Techniques for Deep Neural Networks
Deep neural networks (DNNs) have emerged as a powerful and versatile set of techniques enabling unprecedented success on challenging artificial...
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Location-based distributed slee** cell detection and root cause analysis for 5G ultra-dense networks
The slee** cell problem is one of the most critical issues for cellular deployments, consisting in the outage of a cellular station, which,...
