research
∙
02/20/2023
Adaptive Sparse Gaussian Process
Adaptive learning is necessary for non-stationary environments where the...
share
research
∙
08/30/2022
Radio Resource Management for eICIC, CoMP, Relaying and Back-Hauls Techniques in LTE-Advanced Networks, Concepts and a Literature Survey
Frequency reuse in cells is one of the strategies that LTE uses to maxim...
research
∙
08/27/2022
QoS-based Packet Scheduling Algorithms for Heterogeneous LTE-Advanced Networks, Concepts and a Literature Survey
The number of LTE users and their applications has increased significant...
research
∙
04/24/2022
LTE Cellular Networks Packet Scheduling Algorithms in Downlink and Uplink Transmission, A Survey
This survey paper provides a detailed explanation of Long Term Evolution...
research
∙
04/16/2022
Cognitive Radio Resource Scheduling using Multi agent QLearning for LTE
In this paper, we propose, implement, and test two novel downlink LTE sc...
research
∙
10/11/2021
Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction
The uncertainty of the energy generated by photovoltaic systems incurs a...
research
∙
11/12/2020
A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
Live fire creates a dynamic, rapidly changing environment that presents ...
research
∙
09/22/2020
An embedded deep learning system for augmented reality in firefighting applications
Firefighting is a dynamic activity, in which numerous operations occur s...
research
∙
08/04/2020
A Novel Indoor Positioning System for unprepared firefighting scenarios
Situational awareness and Indoor location tracking for firefighters is o...
research
∙
06/05/2020
A conditional one-output likelihood formulation for multitask Gaussian processes
Multitask Gaussian processes (MTGP) are the Gaussian process (GP) framew...
research
∙
04/08/2020
Time accelerated image super-resolution using shallow residual feature representative network
The recent advances in deep learning indicate significant progress in th...
research
∙
11/04/2019
Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
Koopman Mode Decomposition (KMD) is a technique of nonlinear time-series...
research
∙
10/08/2019
Detection and Identification of Objects and Humans in Thermal Images
Intelligent detecting processing capabilities can be instrumental to imp...
research
∙
09/02/2019
Data Selection for Short Term load forecasting
Power load forecast with Machine Learning is a fairly mature application...
research
∙
11/21/2013