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A multilevel image thresholding using the animal migration optimization algorithm
Springer Science and Business Media LLC - Tập 2 - Trang 9-22 - 2018
Thresholding is an important and well-known technique that plays a major role in distinguishing the image objects from its background. In the other hand, separating the images into several different regions by determining multiple threshold values is called multilevel image thresholding. The Kapur entropy thresholding and maximum between-class variance (Otsu) have been widely used in image thresho......
A hybrid statistical and deep learning based technique for Persian part of speech tagging
Springer Science and Business Media LLC - Tập 4 - Trang 35-43 - 2020
In part of speech (POS) tagging, the main challenge is to predict the right tags for both in-vocabulary (IV) and out-of-vocabulary (OOV) words. Therefore, artificial neural networks, such as multi-layer perceptron (MLP) and long short term memory (LSTM), which seem to be efficient because of their high generality capability, have been applied to POS tagging to overcome this challenge. In this rese......
ECG signal analysis using CWT, spectrogram and autoregressive technique
Springer Science and Business Media LLC - Tập 4 - Trang 265-280 - 2021
The cardiovascular system is a combination of the heart, blood and blood vessels. Cardiovascular diseases (CVD) are a key factor behind casualties worldwide among both women and men. About 9.4 million deaths occur due to high Blood Pressure (BP) only, out of which 51% deaths are due to strokes and 45% deaths are due to coronary heart diseases. The Electrocardiogram (ECG) represents the heart healt......
Q-learning-based hyper-heuristic framework for estimating the energy consumption of electric buses for public transport
Springer Science and Business Media LLC - - 2024
This research study introduces a Q-learning enhanced hyper-heuristic framework for the accurate estimation of energy consumption rates of electric buses. Fundamentals of reinforcement learning concepts are hybridized with the integrated newly emerged metaheuristic methods of Aquila optimizer, Barnacles Mating Optimizer, Gradient-based Optimizer, Harris Hawks Optimization, and Poor and Rich Optimiz......
Multidimensional analysis of particles
Springer Science and Business Media LLC - Tập 5 - Trang 301-315 - 2022
This paper analyses several features of fundamental and composite particles using a computational approach. Different distances are used to unravel the connections among particles emerging from their characteristics. Two clustering and visualization techniques are adopted, namely hierarchical clustering (HC) and multidimensional scaling (MDS), for comparing the particles’ attributes and portraying......
Skin disease prediction using ensemble methods and a new hybrid feature selection technique
Springer Science and Business Media LLC - Tập 3 - Trang 207-216 - 2020
Now-a-days Skin disease is very common worldwide problem. We have preset this study for the prediction of skin disease. Based on data from UCI data set, there are 34 attributes which plays a vital role in the skin disease diagnosis but all are not important. In this paper we have analyzed only those important attributes which give best accuracy in prediction of skin disease. To select important at......
A new model for retinal lesion detection of diabetic retinopathy using hierarchical self-organizing maps
Springer Science and Business Media LLC - Tập 3 - Trang 93-101 - 2019
Diabetes is a disease that impairs blood flow throughout the body. In this disease, the retinal blood vessels may leak and cause retinal swelling known as edema. The person’s sight might be affected if this swelling happens in the central vision area of retina, the macula. In this paper, we proposed a classification system, including a novel combination of Self-Organizing Maps (SOM) for detecting ......
Minimum average case time complexity for sorting algorithms
Springer Science and Business Media LLC - Tập 6 - Trang 445-451 - 2023
There are certainly many sorting algorithms in this modern world of Computers, most of which work in second-order time and some in linearithmic time, but none have achieved more than that. There is none. However, is it even possible to hit the bottom more than that? The minimal temporal complexity that an ordering modus operandi may achieve goes in the order of
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Machine learning techniques for dental disease prediction
Springer Science and Business Media LLC - Tập 5 - Trang 187-195 - 2022
Oral diseases are increasing at the same rate as infectious diseases and non-communicable diseases all over the world. More than eighty percent of the total population suffers from one or more dental diseases, of which periodontitis, gingivitis, and carcinoma are among them. In this work, we used a machine learning approach for dental disease prediction in the context of the daily behavior of the ......
Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM
Springer Science and Business Media LLC - Tập 6 - Trang 245-259 - 2023
The brain tumor is considered a deadly cancer disease that can be seen among people of almost all ages. Early diagnosis and treatment by radiologists are very important in terms of diagnosing an average of 14,000 people with brain tumors per year. Magnetic resonance imaging (MRI) is the best technical expert used for tumor detection via computer-aided systems. However, due to the complex tissue ch......
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