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 …

Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies

L Hussain, A Ahmed, S Saeed, S Rathore… - Cancer …, 2018 - content.iospress.com
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 …

Detecting brain tumor using machines learning techniques based on different features extracting strategies

L Hussain, S Saeed, IA Awan, A Idris… - Current Medical …, 2019 - ingentaconnect.com
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 …

Regression analysis for detecting epileptic seizure with different feature extracting strategies

L Hussain, S Saeed, A Idris, IA Awan… - Biomedical …, 2019 - degruyter.com
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 …

Smart cities-based improving atmospheric particulate matters prediction using chi-square feature selection methods by employing machine learning techniques

HA Mengash, L Hussain, H Mahgoub… - Applied Artificial …, 2022 - Taylor & Francis
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 …

A novel SVMA and K-NN classifier based optical ML technique for seizure detection

N Deepa, R Naresh, S Anitha, R Suguna… - Optical and Quantum …, 2023 - Springer
Among the most common paroxysmal neurological conditions is epilepsy. When
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 …

Arrhythmia detection by extracting hybrid features based on refined Fuzzy entropy (FuzEn) approach and employing machine learning techniques

L Hussain, W Aziz, S Saeed, IA Awan… - Waves in Random …, 2020 - Taylor & Francis
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 …

Applying Bayesian network approach to determine the association between morphological features extracted from prostate cancer images

L Hussain, A Ali, S Rathore, S Saeed, A Idris… - Ieee …, 2018 - ieeexplore.ieee.org
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 …

[PDF][PDF] A radial base neural network approach for emotion recognition in human speech

L Hussain, I Shafi, S Saeed, A Abbas, IA Awan… - IJCSNS, 2017 - researchgate.net
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 …