A review of automated methods for the detection of sickle cell disease
Detection of sickle cell disease is a crucial job in medical image analysis. It emphasizes
elaborate analysis of proper disease diagnosis after accurate detection followed by a …
elaborate analysis of proper disease diagnosis after accurate detection followed by a …
[PDF][PDF] The effect of gamma value on support vector machine performance with different kernels
Currently, the support vector machine (SVM) regarded as one of supervised machine
learning algorithm that provides analysis of data for classification and regression. This …
learning algorithm that provides analysis of data for classification and regression. This …
IoT-enabled flood severity prediction via ensemble machine learning models
River flooding is a natural phenomenon that can have a devastating effect on human life and
economic losses. There have been various approaches in studying river flooding; however …
economic losses. There have been various approaches in studying river flooding; however …
Adaptive thresholding technique based classification of red blood cell and sickle cell using Naïve Bayes Classifier and K-nearest neighbor classifier
C Patgiri, A Ganguly - Biomedical Signal Processing and Control, 2021 - Elsevier
Detection of anomalous cells by analyzing the microscopic blood smear plays a key role in
identification of various blood diseases in medical field. It becomes easier with robust …
identification of various blood diseases in medical field. It becomes easier with robust …
Machine learning and deep learning methods for building intelligent systems in medicine and drug discovery: A comprehensive survey
GJ Chowdary - arXiv preprint arXiv:2107.14037, 2021 - arxiv.org
With the advancements in computer technology, there is a rapid development of intelligent
systems to understand the complex relationships in data to make predictions and …
systems to understand the complex relationships in data to make predictions and …
Classifying political arabic articles using support vector machine with different feature extraction
In the recent years, the number of web logs, and the amount of opinionated data on the
World Wide Web, have been grown substantially. The ability to determine the political …
World Wide Web, have been grown substantially. The ability to determine the political …
A data science methodology based on machine learning algorithms for flood severity prediction
In this paper, a novel application of machine learning algorithms including Neural Network
architecture is presented for the prediction of flood severity. Floods are considered natural …
architecture is presented for the prediction of flood severity. Floods are considered natural …
Political articles categorization based on different naïve bayes models
Sentiment analysis plays an important role in most of human activities and has a significant
impact on our behaviours. With the development and use of web technology, there is a huge …
impact on our behaviours. With the development and use of web technology, there is a huge …
Performance evaluation of kernels in support vector machine
Recently, the Support Vector Machine (SVM) algorithm becomes very common technique
that developed for pattern classification. This technique has been employed in many fields …
that developed for pattern classification. This technique has been employed in many fields …
An application of using support vector machine based on classification technique for predicting medical data sets
This paper illustrates the utilise of various kind of machine learning approaches based on
support vector machines for classifying Sickle Cell Disease data set. It has demonstrated …
support vector machines for classifying Sickle Cell Disease data set. It has demonstrated …