بدائل البحث:
using function » using fusion (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
using function » using fusion (توسيع البحث)
algorithm cost » algorithm goa (توسيع البحث), algorithm aoa (توسيع البحث), algorithm its (توسيع البحث)
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161
Vibration suppression in a cantilever beam using a string-type vibration absorber
منشور في 2017"…In the first, the spring stiffness, the position of the second attachment point of the string and a preliminary damping constant are calculated using a genetic algorithm approach where the objective function is the maximum displacement on the beam. …"
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conferenceObject -
162
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163
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164
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
منشور في 2021احصل على النص الكامل
doctoralThesis -
165
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …"
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166
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…"
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167
Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts
منشور في 2022"…So far none addresses the use of Threat Intelligence (IT) data in Ensemble Learning algorithms to improve the detection process, nor does it work as a function of time, that is, taking into account what happens on the network in a limited time interval. …"
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168
Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks
منشور في 2022"…Analytical model results are validated using the simulation results, which are proved to be very accurate, with deviations ranges within ±7%.…"
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169
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
منشور في 2023"…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …"
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170
StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features
منشور في 2024"…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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171
Energy utilization assessment of a semi-closed greenhouse using data-driven model predictive control
منشور في 2021"…The proposed method consists of a multilayer perceptron model representing the greenhouse system integrated with an objective function and an optimization algorithm. The multilayer perceptron model is trained using historical data from the greenhouse with solar radiation, outside temperature, humidity difference, fan speed, HVAC control as the input parameters to predict the temperature. …"
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172
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
منشور في 2025"…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. …"
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173
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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article -
174
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
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احصل على النص الكامل
article -
175
Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures
منشور في 2017"…Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"
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176
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…In doing so, to represent the surface properties of the electrocatalysts numerically, d-band theory-based electronic features and intrinsic properties obtained from density functional theory (DFT) calculations were used as descriptors. …"
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177
Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle
منشور في 2025"…<p dir="ltr">This study presents an innovative solution for simultaneous energy optimization and dynamic yaw control of all-wheel-drive (AWD) electric vehicles (EVs) using deep reinforcement learning (DRL) techniques. …"
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178
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179
A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
منشور في 2024"…Chest X-rays, MRI scans, CT scans, and skin lesions are used to diagnose the mentioned diseases. Transfer learning algorithms, such as VGG16, VGG19, ResNet, InceptionV3, and EfficientNetB4, are utilized to categorize various diseases. …"
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180
Automatic image quality evaluation in digital radiography using a modified version of the IAEA radiography phantom allowing multiple detection tasks
منشور في 2025"…<h3>Purpose</h3><p dir="ltr">To evaluate image quality (IQ) of for‐processing (raw) and for‐presentation (clinical) radiography images, under different exposure conditions and digital image post‐processing algorithms, using a phantom that enables multiple detection tasks.…"