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Found 12 papers, 2 papers with code
COVID-19 forecasting based on an improved interior search algorithm and multi-layer feed forward neural network
In this study, a new forecasting model is presented to analyze and forecast the CS of COVID-19 for the coming days based on the reported data since 22 Jan 2020.
Harmony-Search and Otsu based System for Coronavirus Disease (COVID-19) Detection using Lung CT Scan Images
Pneumonia is one of the foremost lung diseases and untreated pneumonia will lead to serious threats for all age groups.
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset
One of the methods to detect those inflames is by using x-rays for the chest.
A Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking
The basic foundation of the proposed model is the utilization of motion vectors, which already exist in a compressed video bit stream and provide sufficient information to improve the localization of the target action without requiring high consumption of computational resources compared with other popular methods of extracting motion information, such as optical flows.
Monkey Optimization System with Active Membranes: A New Meta-heuristic Optimization System
The results indicate a substantial solution for the time consumption problem, significant representation of the natural behavior of monkeys, and considerable chance to reach the best solution in the context of meta-heuristics purpose.
Combining Support Vector Machine and Elephant Herding Optimization for Cardiac Arrhythmias
A prediction system for the early intervention and prevention of heart diseases, including cardiovascular diseases (CDVs) and arrhythmia, is important.
Orbital Petri Nets: A Novel Petri Net Approach
By this study, new smart algorithms can be implemented and simulated by orbital Petri Nets for mitigating the space debris collision problem as a next work.
Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks
In this paper, a deep convolutional neural network architecture for galaxies classification is presented.
Arabian Horse Identification Benchmark Dataset
The lack of a standard muzzle print database is a challenge for conducting researches in Arabian horse identification systems.
Image Fusion Techniques in Remote Sensing
This paper explores the major remote sensing data fusion techniques at pixel level and reviews the concept, principals, limitations and advantages for each technique.
Continuous Features Discretization for Anomaly Intrusion Detectors Generation
In this paper, an algorithm propose use a discretization method for the continuous features selected for the intrusion detection, to create some homogeneity between values, which have different data types.
Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis
In this study, Linguistic Hedges Neural-Fuzzy Classifier with Selected Features (LHNFCSF) is presented for diagnosis of thyroid diseases.
