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using algorithm » cosine algorithm (Expand Search)
sac algorithm » search algorithm (Expand Search), swarm algorithm (Expand Search), jaya algorithm (Expand Search)
level using » level fusion (Expand Search)
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141
A novel approach for real time flows scheduling
Published 2006“…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
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conferenceObject -
142
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143
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions
Published 2024“…Here, the conventional converter helps increase the PV source voltage from one level to another level. The proposed system is investigated by using the MATLAB/Simulink tool.…”
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144
Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks
Published 2023“…The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. …”
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145
A comparative study of regression testing methods. (c1996)
Published 1996Get full text
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masterThesis -
146
AUTOMATIC WEINBERGER ARRAY SYNTHESIS FROM UAHPL DESCRIPTION
Published 2020“…The system also minimizes the area required by the WA by performing row compaction. An algorithm similar to that used for channel routing is employed for compaction (Hashimoto and Stevens 1971). …”
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147
Mechanical perturbation control of cardiac alternans
Published 2018“…We analyze the effects of mechanical perturbation on the dynamics of amap model that couples themembrane voltage and active tension systems at the cellular level. Therefore, a two-dimensional iterative map of the heart beat-to-beat dynamics is introduced, and a stability analysis of the system of coupled maps is performed in the presence of a mechanical perturbation algorithm. …”
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148
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
Published 2023“…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …”
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149
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150
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
151
A simple approach for testing web service based applications
Published 2005“…Test cases are executed automatically using a test execution algorithm and a test framework is also presented. …”
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conferenceObject -
152
Blockchain-Based Decentralized Architecture for Software Version Control
Published 2023“…<p dir="ltr">Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. …”
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153
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …”
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154
Blood Glucose Regulation Modelling and Intelligent Control
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doctoralThesis -
155
Comparative Study of Control Strategies for Under Actuated Manipulator
Published 2006Get full text
doctoralThesis -
156
An automated temporal partitioning tool for a class of DSP applications
Published 1998Get full text
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conferenceObject -
157
Oversampling techniques for imbalanced data in regression
Published 2024“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”
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158
Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC
Published 2025“…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …”
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159
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
Published 2020“…The optimal XGBoost model prioritized age, gender, BMI and HbA1c followed by glucose levels and physical activity. Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.…”
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160