Deep learning: emerging trends, applications and research challenges

Data Mining: Research Trends, Challenges, and Applications

Data mining is an interdisciplinary research area spanning severals disciplines such as database systems, machine learning, intelligent information systems, statistics, and expert systems. Data mining has evolved into an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering (or extracting) interesting and pr...

Frictionless Authentication Systems: Emerging Trends, Research Challenges and Opportunities

Authentication and authorization are critical security layers to protect a wide range of online systems, services and content. However, the increased prevalence of wearable and mobile devices, the expectations of a frictionless experience and the diverse user environments will challenge the way users are authenticated. Consumers demand secure and privacy-aware access from any device, whenever a...

Emerging Trends and Applications

Cognitive Radio Wireless Sensor Networks: Applications, Challenges and Research Trends

A cognitive radio wireless sensor network is one of the candidate areas where cognitive techniques can be used for opportunistic spectrum access. Research in this area is still in its infancy, but it is progressing rapidly. The aim of this study is to classify the existing literature of this fast emerging application area of cognitive radio wireless sensor networks, highlight the key research t...

Neutrosophic Applications in E - learning : Outcomes , Challenges and Trends

There has been a sudden increase in the usage of elearning to support learner's learning process in higher education. Educational institutions are working in an increasingly competitive environment as many studies in elearning are implemented under complete information, while in the real world many uncertainty aspects do exist. This has resulted in emerging various approaches to handle uncertai...