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161
Combined cycle gas turbine system optimization for extended range electric vehicles
Published 2020“…Recent studies explored the use of a Gas Turbine as the primary vehicle driver in a hybrid powertrain; however, none evaluated the implementation of a Combined Cycle Gas Turbine, which offers higher efficiency. …”
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MSLP: mRNA subcellular localization predictor based on machine learning techniques
Published 2023“…</p><h3>Availability</h3><p dir="ltr">We have implemented a Docker container and API for end users to run their sequences on our model. …”
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Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures
Published 2021“…The technology stack of the proposed solution was also implemented with four algorithms and eight protocols. …”
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167
Detection of statistically significant network changes in complex biological networks
Published 2017“…Moreover, the structure of the proposed algorithm allows for a faster parallelized implementation.…”
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”
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170
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
Published 2023“…Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …”
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171
Combinatorial method for bandwidth selection in wind speed kernel density estimation
Published 2019“…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …”
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172
The architecture of a highly reconfigurable RISC dataflow array processor
Published 2020“…This processor forms an element of a processor array which possess the features of both static and dynamic dataflow models. The array can be programmed to execute arbitrary algorithms in both static and dynamic manner. …”
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173
Cooperative Caching Policy in Fog Computing for Connected Vehicles
Published 2023“…Furthermore, the results showed the proposed model's effectiveness compared to traditional algorithms.…”
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174
Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Published 2023“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. …”
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175
The Effects of Data Mining on Small Businesses in Dubai
Published 2011“…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …”
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176
Condenser capacity and hyperbolic perimeterImage 1
Published 2021“…We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”
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177
Four quadrant robust quick response optimally efficient inverterfed induction motor drive
Published 1989“…Simulation results with a 100-hp motor show that up to 80% savings in controllable losses are achievable at light load, and the motor can reach rated speed in just 750 ms. The control algorithms developed are readily implementable with present-day microprocessors…”
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178
Design and analysis of efficient and secure elliptic curve cryptoprocessors.
Published 2006“…The proposed architectures have been modeled using VHDL and implemented on FPGA platform.…”
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179
LDSVM: Leukemia Cancer Classification Using Machine Learning
Published 2022“…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …”
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180
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
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masterThesis