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modeling algorithm » scheduling algorithm (Expand Search)
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181
Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
Published 2020Get full text
doctoralThesis -
182
Energy-Aware QoS Uplink Scheduling for UGS Traffic Flows in WiMAX Networks
Published 2014“…The simulation model was tested using VoIP codec types with different rates and QoS requirements. …”
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183
I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams
Published 2023“…Finally, the algorithm is stress tested for performance using a simulation of high-traffic event streams.…”
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184
Low Cost Autopilot Design Using Fuzzy Supervisory Control
Published 2005Get full text
doctoralThesis -
185
A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV)
Published 2015Get full text
doctoralThesis -
186
Improving INS/GPS Integration for Mobile Robotics Applications
Published 2008Get full text
doctoralThesis -
187
Automated quantification of penile curvature using artificial intelligence
Published 2022“…Next, an Unet-based segmentation model was trained, validated, and tested to segment the penile shaft, before a custom Hough-Transform-based angle estimation technique was used to evaluate degree of PC.…”
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188
Evolutionary support vector regression for monitoring Poisson profiles
Published 2023“…Little attention has been given to profile monitoring with non-normal response variables, known as general linear models which consists of two main categories (i.e., logistic and Poisson profiles). …”
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189
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
Published 2024“…The proposed StackDPPred method improves the overall accuracy by 13.41% and 7.62% compared to existing DPs predictors iDPF-PseRAAC and iDEF-PseRAAC, respectively on validation test. Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …”
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190
Combined cycle gas turbine system optimization for extended range electric vehicles
Published 2020“…Second, a series-hybrid extended range vehicle model is developed, to assess the consumption savings of the prioritized combined cycle on the Worldwide Harmonized Light Vehicle Test Cycle. …”
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191
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192
Logic-based Benders decomposition combined with column generation for mobile 3D printer scheduling problem
Published 2025“…A mixed-integer linear programming model is proposed to describe this problem. After analyzing the characteristics and structure of the model, a logic-based Benders decomposition algorithm framework is designed for solving this problem. …”
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193
Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers
Published 2020“…This paper modifies a classical mathematical model that represents the VRPC, implements and tests an evolutionary Cuckoo Search-based hyper-heuristic, and then compares the results with those of our proposed modified version of the Clarke Wright (CW) algorithm. …”
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194
ON-LINE IDENTIFICATION AND CONTROL THROUGH SERIES CONVERTER VOLTAGE OF A UNIFIED POWER FLOW CONTROLLER
Published 2006“…The plant parameters are identified through a regressive least square algorithm and the stabilizing control is derived through a pole-shifting technique using the adaptive plant model. …”
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195
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196
Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
doctoralThesis -
197
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
Published 2022“…The most common validation techniques used in the included studies were k-fold cross-validation and training-test split validation. Accuracy was the most commonly used metric for evaluating the performance of AI models.…”
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198
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring
Published 2019“…The hyper parameter optimization, along with and without a feature reduction method, was tested to improve accuracy. The cost-adjusted optimized ensemble algorithm can produce 97% and 88% accuracy of classifying abnormal and normal HS, respectively.…”
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199
Supervised term-category feature weighting for improved text classification
Published 2022“…GradientDescentANN replaces the iterative additive process mentioned previously by computing the term-category matrix using a gradient descent ANN model. Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …”
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200