بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
machine algorithm » cosine algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data modeling » data models (توسيع البحث), spatial modeling (توسيع البحث)
element » elements (توسيع البحث)
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83
Second-order conic programming for data envelopment analysis models
منشور في 2022"…This paper constructs a second-order conic optimization problem unifying several DEA models. Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …"
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احصل على النص الكامل
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84
A reduced model for phase-change problems with radiation using simplified PN approximations
منشور في 2025"…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. 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. …"
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article -
85
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
86
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87
PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT
منشور في 2023"…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …"
احصل على النص الكامل
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88
PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT
منشور في 2023"…The tweets are classified into categories based on the feeling: Positive and negative. The authors applied Machine Learning algorithms, Support Vector Machines (SVM) and the Naïve Bayes (NB) and accordingly they compared the accuracy between them. …"
احصل على النص الكامل
احصل على النص الكامل
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89
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
90
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
منشور في 2024"…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …"
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91
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
92
A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition
منشور في 2025"…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. …"
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93
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta
منشور في 2023"…Several dataset analysis models are utilised to study the data diversity. Further, this study demonstrates the application of neural network-based models to effectively predict the permeability. …"
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94
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
95
Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
منشور في 2024"…Generally, RKPCA reduces the number of samples in the training data set and then builds the KPCA model based on this data set. …"
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96
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…For this purpose, software quality prediction models have been extensively used. However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
97
Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
منشور في 2024"…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"
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98
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99
Multiclass feature selection with metaheuristic optimization algorithms: a review
منشور في 2022"…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …"
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100