بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
data model » data models (توسيع البحث)
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361
An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation
منشور في 2019"…Our approach combines the strengths of mobile crowdsensing, with the support of the mobile infrastructure, a multi-criteria algorithm for the participants' selection, and a deductive rule-based model for traffic condition estimation. …"
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article -
362
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
منشور في 2024"…This computational framework can expedite and improve the process of finding desirable molecular structures of IL via accurate property predictions in a data-driven manner. Our proposed framework consists of two essential steps: establishing a correlation between IL viscosity and CO<sub>2</sub> solubility by merging two deep learning models (DNN-GC and ANN-GC) and utilizing this correlation to identify the optimal IL structure with maximal CO<sub>2</sub> absorption capacity. …"
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363
Anomaly Detection Based Framework for Profile Monitoring
منشور في 2023احصل على النص الكامل
doctoralThesis -
364
Active distribution network type identification method of high proportion new energy power system based on source-load matching
منشور في 2023"…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …"
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article -
365
Approximate XML structure validation technical report
منشور في 2014"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
366
Novel RFID-Based Pose Estimation Using Single Stationary Antenna
منشور في 2016"…Our scheme is based on power map matching algorithm that is capable in estimating the location and orientation of objects. …"
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article -
367
Estimation of power grid topology parameters through pilot signals
منشور في 2016"…Pilot voltage stimulations are injected from distributed generators and the induced currents effects are measured at several nodes in the system. The measured data is evaluated through correlation, and a weighed least-square algorithm, applied to the network’s dynamic model, estimates those unknown parameters and provides an accurate snapshot of the power network topology. …"
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conferenceObject -
368
Collaborative Caching for D2D Content Sharing in 5G
منشور في 2021احصل على النص الكامل
doctoralThesis -
369
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370
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
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371
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. …"
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372
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373
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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article -
374
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
منشور في 2015"…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …"
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conferenceObject -
375
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
منشور في 2023"…The most commonly used category of data for model development was physical activity data, followed by sleep data and heart rate data. …"
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376
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
منشور في 2017احصل على النص الكامل
doctoralThesis -
377
Vehicular-OBUs-As-On-Demand-Fogs
منشور في 2020"…For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …"
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article -
378
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
منشور في 2008"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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article -
379
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
منشور في 2021احصل على النص الكامل
doctoralThesis -
380
A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study
منشور في 2022"…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …"
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