بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
element » elements (توسيع البحث)
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481
A stochastic PID controller for a class of MIMO systems
منشور في 2017"…The development of the proposed algorithm is based on minimising a stochastic performance index. …"
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article -
482
Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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article -
483
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
منشور في 2021"…To overcome these challenges we developed LNCRI (Long Non-Coding RNA Identifier), a novel machine learning (ML)-based tool for the identification of lncRNA transcripts. …"
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484
A reduced model for phase-change problems with radiation using simplified PN approximations
منشور في 2025"…To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …"
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article -
485
Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr...
منشور في 2020"…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …"
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article -
486
Low Cost Autopilot Design Using Fuzzy Supervisory Control
منشور في 2005احصل على النص الكامل
doctoralThesis -
487
Software tool for regression testing. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis -
488
COMPUTER AIDED PROGRAMMING EDUCATION (CAPE)
منشور في 2020"…CAPE consists of problem definition and algorithm construction modules. Algorithm construction module is currently supported with a facility to map an algorithm(s) into FORTRAN or Pascal code. …"
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article -
489
Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
منشور في 2022"…The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. …"
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490
Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
منشور في 2009احصل على النص الكامل
doctoralThesis -
491
A Stochastic Newton-Raphson Method with Noisy Function Measurements
منشور في 2016"…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …"
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article -
492
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
منشور في 2024"…In particular, Isolation Forest (iForest) was applied as an anomaly detection algorithm to address class imbalance. iForest was trained on the control group data to detect cases of high risk for T2DM development as outliers. …"
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493
Deepfakes Signatures Detection in the Handcrafted Features Space
منشور في 2023"…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …"
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494
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…The LSB substitution method can minimize the error rate in embedding process and can achieve greater reliability in criteria, using novel algorithm based on value difference. In this paper, we proposed a novel technique in steganography within the digital images such is RGB, Gray Scale, Texture, Aerial images to achieve higher security, imperceptibility, capacity, and robustness as compared with existing methods. …"
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495
Assigning proctors to exams using scatter search. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
496
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497
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498
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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499
Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism
منشور في 2023"…It is currently diagnosed by behaviour-based assessments made by observation and interview. …"
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500
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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