While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Machine learning is one of the most exciting recent technologies in Artificial Intelligence.
Learning algorithms in many applications that's we make use of daily. Every time a web …

Next-generation wireless networks are expected to support extremely high data rates and
radically new applications, which require a new wireless radio technology paradigm. The …

Sažetak Research in cognitive radio networks aims at maximized spectrum utilization by
giving access to increased users with the help of dynamic spectrum allocation policy. The …

This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

Currently, the radio spectrum is statically allocated and divided between licensed and
unlicensed frequencies. Due to this inflexible policy, some frequency bands are growing in …

The continuous proliferation of applications requiring wireless connectivity will eventually
result in latency and reliability requirements beyond what is achievable with current …

The ability to intelligently utilize resources to meet the need of growing diversity in services
and user behavior marks the future of wireless communication systems. Intelligent wireless …

This paper describes the virtual windtunnel, a virtual reality-based, near-real-time interactive
system for CFD visualization. The virtual windtunnel supports several visualization …

Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …