بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
groups algorithm » mould algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
groups algorithm » mould algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
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61
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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62
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63
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"
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64
The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review
منشور في 2021"…Magnetic resonance imaging data were most commonly used for classifying bipolar patients compared to other groups (11, 34%), whereas microarray expression data sets and genomic data were the least commonly used. …"
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65
Communications in electronic textile systems
منشور في 2017"…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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conferenceObject -
66
Face Recognition in Uncontrolled Indoor Environment
منشور في 2013احصل على النص الكامل
doctoralThesis -
67
An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System
منشور في 2019"…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …"
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68
Using machine learning for disease detection. (c2013)
منشور في 2016"…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …"
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masterThesis -
69
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. …"
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70
Impact Of Multidisciplinary Maternal Resuscitation Training Program on Improving the Front-Line Care Provider’s Readiness to Manage Maternal Cardiac Arrest: A Pre-test/Post-test St...
منشور في 2024"…The sample size consisted of three groups of front-line multidisciplinary obstetric maternal resuscitation teams (physicians, midwives, and nurses) divided into a pre-test group (N=30) and post-test group (N=30). …"
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71
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72
An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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article -
73
An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
منشور في 2001"…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …"
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article -
74
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75
Approximate XML structure validation based on document–grammar tree similarity
منشور في 2015"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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article -
76
Impact of birth weight to placental weight ratio and other perinatal risk factors on left ventricular dimensions in newborns: a prospective cohort analysis
منشور في 2024"…Chi-squared and one-way analysis of variance were used to compare BW/PW groups and the best regression model was selected using a genetic and backward stepwise algorithm.…"
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77
Corona power loss computation in bundled bipolar conductors
منشور في 2000"…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …"
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article -
78
Approximate XML structure validation technical report
منشور في 2014"…In this paper, we propose an original method for measuring the structural similarity between an XML document and an XML grammar (DTD or XSD), considering their most common operators that designate constraints on the existence, repeatability and alternativeness of XML elements/attributes (e.g., ?…"
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احصل على النص الكامل
article -
79
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …"
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80
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. The synergy of U-model with AIC structure has provided an effective and straight forward method for adaptive tracking of nonlinear plants. …"
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article