A deep learning-based framework for automatic brain tumors classification using transfer learning

A Rehman, S Naz, MI Razzak, F Akram… - Circuits, Systems, and …, 2020 - Springer
Brain tumors are the most destructive disease, leading to a very short life expectancy in their
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …

An effective approach to detect and identify brain tumors using transfer learning

N Ullah, JA Khan, MS Khan, W Khan, I Hassan… - Applied Sciences, 2022 - mdpi.com
Brain tumors are considered one of the most serious, prominent and life-threatening
diseases globally. Brain tumors cause thousands of deaths every year around the globe …

Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities

K Bibi, S Naz, A Rehman - Multimedia Tools and Applications, 2020 - Springer
Biometric systems are playing a key role in the multitude of applications and placed at the
center of debate in the scientific research community. Among the numerous biometric …

Transfer learning using freeze features for Alzheimer neurological disorder detection using ADNI dataset

S Naz, A Ashraf, A Zaib - Multimedia Systems, 2022 - Springer
Abstract Machine learning and deep learning play a crucial role in identification of various
diseases like neurological, skin, eyes, blood and cancers. The deep learning algorithms can …

RETRACTED ARTICLE: Refining Parkinson's neurological disorder identification through deep transfer learning

A Naseer, M Rani, S Naz, MI Razzak, M Imran… - Neural Computing and …, 2020 - Springer
Abstract Parkinson's disease (PD), a multi-system neurodegenerative disorder which affects
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …

Internet of Things (IoT)-based smart healthcare system for efficient diagnostics of health parameters of patients in emergency care

A Balasundaram, S Routray, AV Prabu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) has been instrumental in bringing about several advancements
and innovations in the domain of healthcare. Healthcare professionals are essentially life …

Brain tumor detection and classification using fine-tuned CNN with ResNet50 and U-Net model: A study on TCGA-LGG and TCIA dataset for MRI applications

AA Asiri, A Shaf, T Ali, M Aamir, M Irfan, S Alqahtani… - Life, 2023 - mdpi.com
Nowadays, brain tumors have become a leading cause of mortality worldwide. The brain
cells in the tumor grow abnormally and badly affect the surrounding brain cells. These cells …

Predicting student performance from online engagement activities using novel statistical features

GB Brahim - Arabian Journal for Science and Engineering, 2022 - Springer
Predicting students' performance during their years of academic study has been investigated
tremendously. It offers important insights that can help and guide institutions to make timely …

GR-RNN: Global-context residual recurrent neural networks for writer identification

S He, L Schomaker - Pattern Recognition, 2021 - Elsevier
This paper presents an end-to-end neural network system to identify writers through
handwritten word images, which jointly integrates global-context information and a …

Fragnet: Writer identification using deep fragment networks

S He, L Schomaker - IEEE Transactions on Information …, 2020 - ieeexplore.ieee.org
Writer identification based on a small amount of text is a challenging problem. In this paper,
we propose a new benchmark study for writer identification based on word or text block …