بدائل البحث:
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
would algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
models algorithm » mould algorithm (توسيع البحث), deer algorithm (توسيع البحث)
would algorithm » mould algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
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321
High-order parametrization of the hypergeometric-Meijer approximants
منشور في 2023"…We also show that such extension of the hypergeometric resummation algorithm is able to employ non-perturbative information like strong-coupling and large-order asymptotic data which are always used to accelerate the convergence. …"
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322
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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article -
323
Nonlinear analysis of shell structures using image processing and machine learning
منشور في 2023"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"
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324
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…Among the task-specific models, the SVM trained on word data achieved the highest accuracy of 91.7%. …"
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article -
325
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…Therefore, a hybrid feature selection based diagnosis technique, that can preserve the advantages of wrapper and filter algorithms as well as RF model, is proposed. In the first phase, the neighborhood component analysis (NCA) filter algorithm is used to reduce and select only the pertinent features from the original raw data. …"
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326
Artificial Intelligence for Skin Cancer Detection: Scoping Review
منشور في 2021"…Overall, studies that used smaller data sets reported higher accuracy.</p><h3>Conclusions</h3><p dir="ltr">This paper examined multiple AI-based skin cancer detection models. …"
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327
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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328
Uplink Noma in UAV-Assisted IoT Networks
منشور في 2022"…The first part of the thesis considers the problem of data collection from time-constrained IoT devices through deploying a UAV with uplink NOMA. …"
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masterThesis -
329
Design and analysis of entropy-constrained reflected residual vector quantization
منشور في 2002"…Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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article -
330
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
منشور في 2023"…Among the task-specific models, the SVM trained on word data achieved the highest accuracy of 91.7%. …"
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331
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…The two movies are Wahed Tani which translates to (someone else) and Amahom which translate to (their uncle), Three datasets were employed, and several categorization models were compared across them. Prior to performing sentiment analysis, it is necessary to prepare the data so that it may be used to train machine learning (ML) algorithms. …"
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332
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 -
333
Neural network-based failure rate prediction for De Havilland Dash-8 tires
منشور في 2006"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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article -
334
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
منشور في 2013"…We use this algorithm to build a sensor selection model to choose among location sensors. …"
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conferenceObject -
335
Failure-Rate Prediction for De Havilland Dash-8 Tires Employing Neural-Network Technique
منشور في 2006"…An artificial neural-network model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the two-layered feedforward back-propagation algorithm as a learning rule is developed. …"
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article -
336
Soft Sensor for NOx Emission using Dynamical Neural Network
منشور في 2020"…Neural network model is trained using real data logs of an industrial boiler. …"
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article -
337
Role of authentication factors in Fin-tech mobile transaction security
منشور في 2023"…In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…"
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338
Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review
منشور في 2022"…Accuracy was the most commonly used metric for evaluating the performance of AI models.</p><h3>Conclusions</h3><p dir="ltr">The last decade witnessed an increase in the development of AI-driven serious games for health care purposes, targeting various health conditions, and leveraging multiple AI algorithms; this rising trend is expected to continue for years to come. …"
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339
Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach
منشور في 2024احصل على النص الكامل
doctoralThesis -
340
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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