بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based training » based learning (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
training algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
based training » based learning (توسيع البحث)
element » elements (توسيع البحث)
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241
Competitive learning/reflected residual vector quantization for coding angiogram images
منشور في 2003"…Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. …"
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article -
242
Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves
منشور في 2018"…The TOA data of the wave reflected from the damage is used in the two arrival time difference and astroid algorithms to locate the damage in an enclosed area. …"
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243
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
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244
Bridge Structural Health Monitoring Using Mobile Sensor Networks
منشور في 2022احصل على النص الكامل
doctoralThesis -
245
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
منشور في 2023"…Statistical analysis showed that the selected features for liquids' and pipe's properties using the BGWOPSO algorithm were adequate to attain superior performance for both models. …"
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246
Cross entropy error function in neural networks
منشور في 2002"…The ANN is implemented using the cross entropy error function in the training stage. The cross entropy function is proven to accelerate the backpropagation algorithm and to provide good overall network performance with relatively short stagnation periods. …"
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conferenceObject -
247
PERF solutions for distributed query optimization. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
248
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
منشور في 2023"…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …"
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249
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250
A novel hybrid methodology for fault diagnosis of wind energy conversion systems
منشور في 2023"…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"
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251
A hybrid approach for XML similarity
منشور في 2007"…Various algorithms for comparing hierarchically structured data, e.g. …"
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conferenceObject -
252
A New Approach for Recognizing Saudi Arabian License Plates using Neural Networks
منشور في 2020"…Finally, a Multilayer Feedforward Neural Network (MFNN) with a backpropagation (BP) algorithm is used for character recognition. We discuss new features from the characters for training the NN. …"
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article -
253
On the complexity of multi-parameterized cluster editing
منشور في 2017"…In other words, Cluster Editing can be solved efficiently when the number of false positives/negatives per single data element is expected to be small compared to the minimum cluster size. …"
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article -
254
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 -
255
Supervised term-category feature weighting for improved text classification
منشور في 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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article -
256
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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257
Multidimensional Gains for Stochastic Approximation
منشور في 2019"…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …"
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article -
258
Online dynamic ensemble deep random vector functional link neural network for forecasting
منشور في 2023"…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). …"
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259
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260
Single channel speech denoising by DDPG reinforcement learning agent
منشور في 2025"…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …"