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A deep learning-based framework for automatic brain tumors classification using transfer learning
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 …
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
[HTML][HTML] An effective approach to detect and identify brain tumors using transfer learning
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 …
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 …
center of debate in the scientific research community. Among the numerous biometric …
Internet of things (IoT)-based smart healthcare system for efficient diagnostics of health parameters of patients in emergency care
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 …
and innovations in the domain of healthcare. Healthcare professionals are essentially life …
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 …
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RETRACTED ARTICLE: Refining Parkinson's neurological disorder identification through deep transfer learning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 …
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …
[HTML][HTML] Interpol questioned documents review 2019–2022
M Deviterne-Lapeyre, S Ibrahim - Forensic Science International: Synergy, 2023 - Elsevier
The goal of this paper is to provide a comprehensive review of the technical advances and
general areas of research in the field of Forensic Handwriting/Forensic Document …
general areas of research in the field of Forensic Handwriting/Forensic Document …
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
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 …
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 …
tremendously. It offers important insights that can help and guide institutions to make timely …
Fragnet: Writer identification using deep fragment networks
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 …
we propose a new benchmark study for writer identification based on word or text block …