Search alternatives:
processing algorithm » processing algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
system » systems (Expand Search)
element » elements (Expand Search)
processing algorithm » processing algorithms (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
system » systems (Expand Search)
element » elements (Expand Search)
-
921
FoGMatch
Published 2019“…This results in an unfair situation wherein the needs of one of the parties are ignored in the scheduling process. To address this problem, we propose in this paper a multi-criteria intelligent IoT scheduling approach in fog computing environments using matching game theory. …”
Get full text
Get full text
Get full text
masterThesis -
922
Unsupervised histogram based color image segmentation
Published 2003Get full text
Get full text
article -
923
Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints
Published 2024“…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …”
-
924
-
925
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Get full text
article -
926
Heuristics for graph decomposition
Published 2000Get full text
Get full text
Get full text
Get full text
conferenceObject -
927
Multilayer perceptron-based DFE with lattice structure
Published 2001“…The drawback of the MLP-based equalizers is, however, their slow rate of convergence, which limit their use in practical systems. In this work, the effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. …”
article -
928
Multilayer perceptron-based DFE with lattice structure
Published 2001“…The drawback of the MLP-based equalizers is, however, their slow rate of convergence, which limit their use in practical systems. In this work, the effect of whitening the input data in a multilayer perceptron-based decision feedback equalizer (DFE) is evaluated. …”
Get full text
Get full text
article -
929
On the P-type learning control
Published 1994Get full text
Get full text
Get full text
Get full text
article -
930
-
931
A MIMO Sampling-Rate-Dependent Controller
Published 2014“…A sampling-rate-dependent (SRD) controller is proposed for the uniform output tracking problem of multiinput multioutput discrete time-varying linear systems. A proportional-integral-derivative (PID) controller is a special case of the proposed controller. …”
Get full text
Get full text
Get full text
Get full text
article -
932
Theory of P-type learning control with implication for the robot manipulator
Published 1993Get full text
Get full text
Get full text
Get full text
conferenceObject -
933
The role of Reinforcement Learning in software testing
Published 2023“…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…”
-
934
-
935
A machine learning approach for localization in cellular environments
Published 2018Get full text
Get full text
Get full text
Get full text
conferenceObject -
936
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Published 2022“…This paper introduces a new solution to detect energy consumption anomalies based on extracting micro-moment features using a rule-based model. The latter is used to draw out load characteristics using daily intent-driven moments of user consumption actions. …”
-
937
-
938
The maximum common subgraph problem
Published 2017Get full text
Get full text
Get full text
Get full text
conferenceObject -
939
-
940
Optimality of first-order ILC among higher order ILC
Published 2006“…Higher order iterative learning control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …”
Get full text
Get full text
Get full text
Get full text
article