[HTML][HTML] Mobile data science and intelligent apps: concepts, AI-based modeling and research directions
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …
computing with smart mobile phones that typically allows the devices to function in an …
[HTML][HTML] A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
This paper presents a systematic and comprehensive survey that reviews the latest research
efforts focused on machine learning (ML) based performance improvement of wireless …
efforts focused on machine learning (ML) based performance improvement of wireless …
Context-aware computing, learning, and big data in internet of things: a survey
Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
communications and sensor technologies. Meanwhile, with this revolutionary transformation …
[HTML][HTML] Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
Due to the increasing popularity of recent advanced features and context-awareness in
smart mobile phones, the contextual data relevant to users' diverse activities with their …
smart mobile phones, the contextual data relevant to users' diverse activities with their …
A survey on context-aware mobile and wireless networking: On networking and computing environments' integration
During the last years, a continuous convergence and fusion of computing and networking
systems is stressed in the ICT research community. Context awareness appears to be a …
systems is stressed in the ICT research community. Context awareness appears to be a …
Improving urban water security through pipe-break prediction models: machine learning or survival analysis
North America's water distribution systems are aging and incurring increased pipe breaks.
These breaks pose a serious threat to urban drinking water security, leading to service …
These breaks pose a serious threat to urban drinking water security, leading to service …
[HTML][HTML] Data-driven design of intelligent wireless networks: An overview and tutorial
Data science or “data-driven research” is a research approach that uses real-life data to gain
insight about the behavior of systems. It enables the analysis of small, simple as well as …
insight about the behavior of systems. It enables the analysis of small, simple as well as …
Base station prediction and proactive mobility management in virtual cells using recurrent neural networks
DS Wickramasuriya, CA Perumalla… - 2017 IEEE 18th …, 2017 - ieeexplore.ieee.org
Multicell cooperation in 5G next-generation wireless networks is essential to increasing
multiuser channel capacity. Multiple base stations need to coherently process their …
multiuser channel capacity. Multiple base stations need to coherently process their …
Context-aware energy enhancements for smart mobile devices
BK Donohoo, C Ohlsen, S Pasricha… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Within the past decade, mobile computing has morphed into a principal form of human
communication, business, and social interaction. Unfortunately, the energy demands of …
communication, business, and social interaction. Unfortunately, the energy demands of …
A survey of prediction and classification techniques in multicore processor systems
C Ababei, MG Moghaddam - IEEE Transactions on Parallel …, 2018 - ieeexplore.ieee.org
In multicore processor systems, being able to accurately predict the future provides new
optimization opportunities, which otherwise could not be exploited. For example, an oracle …
optimization opportunities, which otherwise could not be exploited. For example, an oracle …