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element » elements (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
fluent modeling » agent modeling (Expand Search), event modeling (Expand Search)
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161
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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162
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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163
A comparative study of regression testing methods. (c1996)
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masterThesis -
164
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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165
Communications in electronic textile systems
Published 2017“…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …”
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conferenceObject -
166
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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167
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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168
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169
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
170
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 -
171
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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172
Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
Published 2015Get full text
doctoralThesis -
173
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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174
Blood Glucose Regulation Modelling and Intelligent Control
Published 2024Get full text
doctoralThesis -
175
Comparative Study of Control Strategies for Under Actuated Manipulator
Published 2006Get full text
doctoralThesis -
176
An automated temporal partitioning tool for a class of DSP applications
Published 1998Get full text
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conferenceObject -
177
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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178
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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179
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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180