A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules: Current Trends and Future Directions
Detection of cracks in solar photovoltaic (PV) modules is crucial for optimal performance and
long-term reliability. The development of convolutional neural networks (CNNs) has …
long-term reliability. The development of convolutional neural networks (CNNs) has …
Melanoma skin cancer classification based on CNN deep learning algorithms
Melanoma, the deadliest form of skin cancer, is on the rise. The goal of this study is to
present a deep learning system implementation for the detection of melanoma lesions on a …
present a deep learning system implementation for the detection of melanoma lesions on a …
Feature separation and adversarial training for the patient-independent detection of epileptic seizures
Y Yang, F Li, X Qin, H Wen, X Lin… - Frontiers in Computational …, 2023 - frontiersin.org
An epileptic seizure is the external manifestation of abnormal neuronal discharges, which
seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types …
seriously affecting physical health. The pathogenesis of epilepsy is complex, and the types …
Classification of COVID-19 from X-ray Images using GLCM Features and Machine Learning
As the world continues to battle the devastating effects of the COVID-19 pandemic, it has
become increasingly crucial to screen patients for contamination accurately and effectively …
become increasingly crucial to screen patients for contamination accurately and effectively …
Brain Tumor Classification and Detection Based DL Models: A Systematic Review
In recent years, the realms of computer vision and deep learning have ushered in
transformative changes across various domains. Among these, deep learning stands out for …
transformative changes across various domains. Among these, deep learning stands out for …
[HTML][HTML] Deep learning in pediatric neuroimaging
The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …
promise in advancing various aspects of the field. This paper provides a comprehensive …
Coronavirus Classification based on Enhanced X-ray Images and Deep Learning
FH Najjar, SR Waheed, DA Mahdi - Malaysian Journal of …, 2023 - mjfas.utm.my
In light of the fact that the global pandemic of Coronavirus Disease 2019 (COVID-19) is still
having a significant impact on the health of people all over the world, there is a growing …
having a significant impact on the health of people all over the world, there is a growing …
Synergistic Integration of Transfer Learning and Deep Learning for Enhanced Object Detection in Digital Images
Presently, the world is progressing towards the notion of smart and secure cities. The
automatic recognition of human activity is among the essential landmarks of smart city …
automatic recognition of human activity is among the essential landmarks of smart city …
Design a Crime Detection System based Fog Computing and IoT
SR Waheed, AAR Sakran, MSM Rahim… - Malaysian Journal of …, 2023 - mjfas.utm.my
Abstract The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-
effective development of smart system architectures. Although current regulations …
effective development of smart system architectures. Although current regulations …
WAM 3D discrete chaotic map for secure communication applications
AA Abdul-Kareem, WAM Al-Jawher - International Journal of Innovative …, 2022 - ijic.utm.my
Chaotic systems have become widely adopted as an effective way for secure data
communications, because of its simple mathematical complexity and good security. The …
communications, because of its simple mathematical complexity and good security. The …