Detecting prostate cancer using deep learning convolution neural network with transfer learning approach

AA Abbasi, L Hussain, IA Awan, I Abbasi, A Majid… - Cognitive …, 2020 - Springer
Prostate Cancer in men has become one of the most diagnosed cancer and also one of the
leading causes of death in United States of America. Radiologists cannot detect prostate …

[HTML][HTML] Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands

FM Butt, L Hussain, A Mahmood… - Mathematical Biosciences …, 2021 - aimspress.com
An efficient management and better scheduling by the power companies are of great
significance for accurate electrical load forecasting. There exists a high level of uncertainties …

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 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 …

[HTML][HTML] Selection of embedding dimension and delay time in phase space reconstruction via symbolic dynamics

M Matilla-García, I Morales, JM Rodríguez… - Entropy, 2021 - mdpi.com
The modeling and prediction of chaotic time series require proper reconstruction of the state
space from the available data in order to successfully estimate invariant properties of the …

Securing the IoT cyber environment: Enhancing intrusion anomaly detection with vision transformers

L Sana, MM Nazir, J Yang, L Hussain, YL Chen… - IEEE …, 2024 - ieeexplore.ieee.org
The ever-expanding Internet of Things (IoT) landscape presents a double-edged sword.
While it fosters interconnectedness, the vast amount of data generated by IoT devices …

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 …

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

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

Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI

L Hussain, AA Malibari, JS Alzahrani, M Alamgeer… - Scientific Reports, 2022 - nature.com
Accurate classification of brain tumor subtypes is important for prognosis and treatment.
Researchers are develo** tools based on static and dynamic feature extraction and …

[HTML][HTML] Entropy as measure of brain networks' complexity in eyes open and closed conditions

F Vecchio, F Miraglia, C Pappalettera, A Orticoni, F Alù… - Symmetry, 2021 - mdpi.com
Brain complexity can be revealed even through a comparison between two trivial conditions,
such as eyes open and eyes closed (EO and EC respectively) during resting …