Detecting epileptic seizure with different feature extracting strategies using robust machine learning classification techniques by applying advance parameter …
L Hussain - Cognitive neurodynamics, 2018 - Springer
Epilepsy is a neurological disorder produced due to abnormal excitability of neurons in the
brain. The research reveals that brain activity is monitored through electroencephalogram …
brain. The research reveals that brain activity is monitored through electroencephalogram …
Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies
Prostate is a second leading causes of cancer deaths among men. Early detection of cancer
can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and …
can effectively reduce the rate of mortality caused by Prostate cancer. Due to high and …
Detecting brain tumor using machines learning techniques based on different features extracting strategies
Background: Brain tumor is the leading cause of death worldwide. It is obvious that the
chances of survival can be increased if the tumor is identified and properly classified at an …
chances of survival can be increased if the tumor is identified and properly classified at an …
Regression analysis for detecting epileptic seizure with different feature extracting strategies
Due to the excitability of neurons in the brain, a neurological disorder is produced known as
epilepsy. The brain activity of patients suffering from epilepsy is monitored through …
epilepsy. The brain activity of patients suffering from epilepsy is monitored through …
Smart cities-based improving atmospheric particulate matters prediction using chi-square feature selection methods by employing machine learning techniques
Particulate matter is emitted from diverse sources and affect the human health very badly.
Dust particles exposure from the stated environment can affect our heart and lungs very …
Dust particles exposure from the stated environment can affect our heart and lungs very …
A novel SVMA and K-NN classifier based optical ML technique for seizure detection
Among the most common paroxysmal neurological conditions is epilepsy. When
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …
Using remote sensing data for geological mapping in semi-arid environment: a machine learning approach
AEA El Fels, M El Ghorfi - Earth Science Informatics, 2022 - Springer
The geological map encapsulates basic information that can be crucial in a multitude of
fields such as landslide risk assessment, engineering projects, as well as petroleum and …
fields such as landslide risk assessment, engineering projects, as well as petroleum and …
Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques
Cardiac arrhythmias are disturbances in the rhythm of the heart manifested by irregularity or
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
by abnormally fast rates ('tachycardia') or abnormally slow rates ('bradycardias'). In the past …
Applying Bayesian network approach to determine the association between morphological features extracted from prostate cancer images
Cancer is a major public health problem across the globe due to which millions of deaths
occur every year. In the United States, prostate cancer is the second leading cause of cancer …
occur every year. In the United States, prostate cancer is the second leading cause of cancer …
[PDF][PDF] A radial base neural network approach for emotion recognition in human speech
Emotions play a vital role during verbal communication in our daily life as only the textual
information cannot convey the complete information. Emotions in human speech is a …
information cannot convey the complete information. Emotions in human speech is a …