User Quality of Experience (QoE) prediction in Heterogeneous Mobile Networks [PDF]
Mbemba HYDARA et. al.
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Influencing Factors on Quality of Experience (QoE) in Mobile Computing
Applications that can change their behaviour based on the user’s contextual appearance are called context-aware applications. Applications developed for smart phones, which carry a multitude of different sensors, and actuators have gained a huge penetration within the market. Frequent usage of mobile applications such as home automation, friend finder,
openaire +1 more source
IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]
Raju LR +5 more
europepmc +1 more source
A systematic review of financial toxicity measurement instruments for cancer patients based on the COSMIN guideline. [PDF]
Jia M, Zhong L, Luo Y, Xia O.
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Quality of Experience (QoE) in LTE GSM UMTS Mobile Networks
Kum Bertrand Kum, Brian Austin
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Quality of experience-aware application deployment in fog computing environments using machine learning. [PDF]
Jenifer P, Angela Jennifa Sujana J.
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Reliable QoE Prediction in IMVCAs Using an LMM-Based Agent. [PDF]
Sidorov M +4 more
europepmc +1 more source
Immersive Teleoperation via Collaborative Device-Agnostic Interfaces for Smart Haptics: A Study on Operational Efficiency and Cognitive Overflow for Industrial Assistive Applications. [PDF]
Hernandez-Gobertti F +4 more
europepmc +1 more source
ACVIM-endorsed statement: consensus statement and systematic review on guidelines for the diagnosis and treatment of chronic inflammatory enteropathy in dogs. [PDF]
Heilmann RM +7 more
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