بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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381
What are artificial intelligence literacy and competency? A comprehensive framework to support them
منشور في 2024"…We also identify five effective learning experiences to foster abilities and confidences, and suggest five future research directions: prompt engineering, data literacy, algorithmic literacy, self-reflective mindset, and empirical research.…"
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article -
382
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
منشور في 2022"…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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383
Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar
منشور في 2022"…The performance of the algorithms was studied using WorldView-3 data, which provided the R2 values of 60% and the best suitability of the NDCI algorithm and MSI data to map the concentration of Chl-a. …"
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384
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 -
385
Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier
منشور في 2021"…Multiple ML algorithms are used to improve decision-making at different aspects after forecasting. …"
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386
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387
Using artificial intelligence to improve body iron quantification: A scoping review
منشور في 2023"…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …"
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388
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389
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
390
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
منشور في 2024"…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …"
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391
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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392
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393
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394
Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry
منشور في 2016"…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
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article -
395
Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
منشور في 2021احصل على النص الكامل
doctoralThesis -
396
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
منشور في 2022"…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"
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397
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398
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399
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 2019"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"
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400
Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models
منشور في 2023"…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. …"
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