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Android Malware Detection Approach Using Stacked AutoEncoder and Convolutional Neural Networks
In the past decade, Android has become a standard smartphone operating system. The mobile devices running on the Android operating system are particularly interesting to malware developers, as the users often keep personal...
Multi-Class Sentiment Classification for Healthcare Tweets Using Supervised Learning Techniques
Social media has revolutionized the way people disclose their personal health concerns and express opinions on public health issues. In this paper a new approach for multi-class sentiment classification using supervised learning...
The Role of Drop Shipping in E-Commerce
During the recent years, e-commerce has been constantly growing in various industrial sectors. E-commerce has also changed the buying pattern of customers. E-commerce is a concept that has gained enormous popularity in recent...
Forecasting Supply Chain Demand Approach Using Knowledge Management Processes and Supervised Learning Techniques
In today’s context (competition and knowledge economy), ML and KM on the supply chain level have received increased attention aiming to determine long and short-term success of many companies. However, demand forecasting with...
Coronavirus Pneumonia Classification Using X-Ray and CT Scan Images With Deep Convolutional Neural Network Models
Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There are mainly two types of pneumonia: bacterial and viral. Likewise, patients with coronavirus can develop symptoms that belong to the...