Network resource management drives machine learning: a survey and future research direction
Network resource management is one of the vibrant factors in the current dynamic
technological computing paradigms. This reduces poor resource utilization; network …
technological computing paradigms. This reduces poor resource utilization; network …
[PDF][PDF] Knowledge engineering on internet of things through reinforcement learning
W Shafik, SA Mostafavi - International Journal of Computer …, 2019 - researchgate.net
Reinforcement learning (RL) is a new research area practical in the internet of things (IoT)
where it addresses a broad and relevant task through about making decisions. RL enables …
where it addresses a broad and relevant task through about making decisions. RL enables …
Energy optimization analysis on internet of things
Energy enhancement and renewable energy integration are crucial facilitators of renewable
energy conversion and climate shift alleviations. The technological advancements …
energy conversion and climate shift alleviations. The technological advancements …
Overview of 5G & beyond security
Network security is a crucial concern when it comes to computation, concerns like threats
can have high consequences, and critical information will be shared with unauthorized …
can have high consequences, and critical information will be shared with unauthorized …
Recommendation system comparative analysis: internet of things aided networks
Today, the public is not willing to spend much time identifying their personal needs.
Therefore, it needs a system that automatically recommends customized items to customers …
Therefore, it needs a system that automatically recommends customized items to customers …
[PDF][PDF] A 3-dimensional fast machine learning algorithm for mobile unmanned aerial vehicle base stations
The 5G technology is predicted to achieve the unoptimized millimeter Wave (mmWave) of 30-
300 GHz bands. This unoptimized band because of the loss of mm-Wave bands, like path …
300 GHz bands. This unoptimized band because of the loss of mm-Wave bands, like path …
A reawakening of machine learning application in unmanned aerial vehicle: future research motivation
Abstract Machine learning (ML) entails artificial procedures that improve robotically through
experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement …
experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement …
[PDF][PDF] A fast machine learning for 5g beam selection for unmanned aerial vehicle applications
W Shafik, SM Matinkhah… - Information Systems & …, 2019 - academia.edu
Abstract Unmanned Aerial vehicles (UAVs) emerged into a promising research trend
applied in several disciplines based on the benefits, including efficient communication, on …
applied in several disciplines based on the benefits, including efficient communication, on …
Reinforcement learning rebirth, techniques, challenges, and resolutions
W Shafik, M Matinkhah, P Etemadinejad… - … : International Journal on …, 2020 - joiv.org
Reinforcement learning (RL) is a new propitious research space that is well-known
nowadays on the internet of things (IoT), media and social sensing computing are …
nowadays on the internet of things (IoT), media and social sensing computing are …
Artificial Intelligence and the Medical Tourism
W Shafik - … Tourist Behaviors and Community Involvement in …, 2024 - igi-global.com
Tourism impacts people and the environment beyond site-seeing. Healthcare difficulties
affect end customers; therefore, this study analyzes medical tourism (MT) employing …
affect end customers; therefore, this study analyzes medical tourism (MT) employing …