بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
making algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data making » data mining (توسيع البحث)
element » elements (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
making algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data making » data mining (توسيع البحث)
element » elements (توسيع البحث)
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DASSI: differential architecture search for splice identification from DNA sequences
منشور في 2022"…The demand for robust algorithms over the recent years has brought huge success in the field of Deep Learning (DL) in solving many difficult tasks in image, speech and natural language processing by automating the manual process of architecture design. …"
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243
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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244
A hybrid approach for XML similarity
منشور في 2007"…Various algorithms for comparing hierarchically structured data, e.g. …"
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conferenceObject -
245
Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
246
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…<p>Although many high-performing speech separation models have been proposed recently, little attention has been paid to making them lightweight. In this paper, a novel speech separation algorithm is proposed that integrates the twin-delayed deep deterministic (TD3) policy gradient reinforcement learning (RL) agent with the expectation maximization (EM) algorithm for clustering the spatial cues of individual sources separated on azimuth. …"
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247
Improving INS/GPS Integration for Mobile Robotics Applications
منشور في 2008احصل على النص الكامل
doctoralThesis -
248
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 -
249
The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation
منشور في 2007"…We particularly discuss multimedia primary horizontal fragmentation and focus on semantic-based textual predicates implication required as a pre-process in current fragmentation algorithms in order to partition multimedia data efficiently. …"
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conferenceObject -
250
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251
Innovative mobile E-healthcare systems
منشور في 2016"…Caching is one of the key methods in distributed computing environments to improve the performance of data retrieval. To find which item in the cache can be evicted and replaced, cache replacement algorithms are used. …"
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article -
252
Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care
منشور في 2022"…The XGboost algorithm is suggested from 10-fold cross-validation on 6 candidate models. …"
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253
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254
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
منشور في 2023"…Many efforts have been deployed by the IR community to extend freetext query processing toward semi-structured XML search. Most methods rely on the concept of Lowest Comment Ancestor (LCA) between two or multiple structural nodes to identify the most specific XML elements containing query keywords posted by the user. …"
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article -
255
A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security
منشور في 2023"…Here, the Quantized Identical Data Imputation (QIDI) mechanism is implemented at first for data preprocessing and normalization. …"
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256
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
منشور في 2022"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"
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257
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
منشور في 2019"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"
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258
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…The BoDF model achieves 93.8% accuracy in the SEED data set and 77.4% accuracy in the DEAP data set, which is more accurate compared to other state-of-the-art methods of human emotion recognition.…"
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259
Plant disease detection using drones in precision agriculture
منشور في 2023"…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …"
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260
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"…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
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