12 hasil untuk "Rahil Hosseini"
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Artikel Jurnal
An Interval Type-2 Fuzzy LSTM Algorithm for Modeling Environmental Time-Series Prediction
The statistical attributes of the non-stationary problems such as air quality and other natural phenomena frequently changed. Type-2 fuzzy logic is a robust and capable model to cope with high-order uncertainties associated with non-stationary time-dependent features. This research's main objective…
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Applying High-level Agreement Ensemble Classification Voting Techniques to Distinguish Inflammatory Bowel Disease
Due to the complexity of medical decisions, there is a growing interest in the application of intelligence systems to support these decisions. In this paper, accordingly, the potential of several algorithms such as K Nearest Neighbor, Support Vector Machine, Random Forest, Naive Bayes, and Decision…
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Artikel Jurnal
Reconfiguration and Optimal Placement of the DVR and DG Units in Distribution Grid Using Driving Training–Based Optimization and Genetic Algorithm
This study has introduced a new combination of driving training–based optimization (DTBO) and genetic algorithm (GA) in the framework of fuzzy logic to solve the reconfiguration, along with the optimal allocation of dynamic voltage restorer (DVR) and distributed generation (DG) units’ problem. This…
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A Fuzzy-GA Approach for Parameter Optimization of A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children
Hybrid fuzzy expert systems are one of the most practical intelligent paradigm of soft computing techniques with the high potential for managing uncertainty associated to the medical diagnosis. The potential of genetic algorithm (GA) by inspiring from natural evolution as a learning and…
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A New Classification Model Fuzzy-Genetic Algorithm for Detection of learning disability of Dyslexia in Secondary School Students
Background and Objective Learning disability is a neurological disorder. Simply, learning disabilities result from a person's misunderstanding of the brain. Children with learning disabilities are more accurate and intelligent than their peers, but they may have difficulty in reading, writing…
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An Adaptive Intelligent Type-2 Fuzzy Logic Model to Manage Uncertainty of Short and Long Time-Series in Covid-19 Patterns Prediction: A Case Study on Iran
Prediction with high reliability is very important in solving real-world problems, especially those that affect public health. The statistical properties of complex problems such as Covid-19 disease constantly change over time which makes modeling of such problems associated with high-level…
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Classification of Autism Disorder Severity Using Fuzzy Methods Based on Soft Computing
A significant proportion of population in each community suffer from autism disorder. One of the challenges in diagnosing autism is the uncertainty in determining the severity of the disease. To this end, fuzzy systems based methods have been adopted in this study. The presented methods are based…
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An Intelligent Hybrid Segmentation Model Based on Fuzzy Logic, Discrete Wavelet Transform In Digital Imaging for Detection of Gastric Cancer
Gastric cancer is the first rank of cancer in Iran. If the disease is detected in early stages, treatment is probability to be furthered and treatment costs will be reduced. Due to the complexity of pathologic images and the fundamental challenges in these images, such as the poor contrast between…
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An Intelligent Fuzzy Model for Managing Uncertainty in Diagnosis of the Breast Cancer Staging
Intelligent assistant systems have been focused in many researches for managing uncertainties in medical diagnosis in the recent years. Due to vagueness in diagnosis of Breast cancer stages which is one of the major cause of death in women, early diagnosis of stages of this cancer can help…
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Estimation of Global Solar Irradiance Using a Novel combination of Ant Colony Optimization and Empirical Models
In this paper, a novel approach for the estimation of global solar irradiance is proposed based on a combination of empirical correlation and ant colony optimization. Empirical correlation has been used to estimate monthly average of daily global solar irradiance on a horizontal surface. The Ant…
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Personalized Mobile Health for Elderly Home Care: A Systematic Review of Benefits and Challenges
Mobile health as one of the new technologies can be a proper solution to support care provision for the elderly and provide personalized care for them. This study is aimed at reviewing the benefits and challenges of personalized mobile health (PMH) for elderly home care. With a systematic review…
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