Imbalance problems in object detection: A review
In this paper, we present a comprehensive review of the imbalance problems in object
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
detection. To analyze the problems in a systematic manner, we introduce a problem-based …
[PDF][PDF] Binary cross entropy with deep learning technique for image classification
U Ruby, V Yendapalli - Int. J. Adv. Trends Comput. Sci. Eng, 2020 - researchgate.net
This paper discussed about a unique neural network approach stimulated by a technique
that has reformed the field of computer vision: pixel-wise image classification, which we …
that has reformed the field of computer vision: pixel-wise image classification, which we …
Transfer learning-based state of charge and state of health estimation for Li-ion batteries: A review
State of charge (SOC) and state of health (SOH) estimation play a vital role in battery
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …
management systems (BMSs). Accurate and robust state estimation can prevent Li-ion …
[PDF][PDF] Brain tumor classification in MRI image using convolutional neural network
HA Khan, W Jue, M Mushtaq… - Mathematical …, 2021 - papers.ssrn.com
Brain tumor is a severe cancer disease caused by uncontrollable and abnormal partitioning
of cells. Recent progress in the field of deep learning has helped the health industry in …
of cells. Recent progress in the field of deep learning has helped the health industry in …
A new benchmark on american sign language recognition using convolutional neural network
The listening or hearing impaired (deaf/dumb) people use a set of signs, called sign
language instead of speech for communication among them. However, it is very challenging …
language instead of speech for communication among them. However, it is very challenging …
ET-NET: an ensemble of transfer learning models for prediction of COVID-19 infection through chest CT-scan images
The COVID-19 virus has caused a worldwide pandemic, affecting numerous individuals and
accounting for more than a million deaths. The countries of the world had to declare …
accounting for more than a million deaths. The countries of the world had to declare …
Pre-trained deep learning models for brain MRI image classification
S Krishnapriya, Y Karuna - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Brain tumors are serious conditions caused by uncontrolled and abnormal cell division.
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
Deep learning for image-based mobile malware detection
Current anti-malware technologies in last years demonstrated their evident weaknesses due
to the signature-based approach adoption. Many alternative solutions were provided by the …
to the signature-based approach adoption. Many alternative solutions were provided by the …
Explainable prediction of acute myocardial infarction using machine learning and shapley values
The early and accurate detection of the onset of acute myocardial infarction (AMI) is
imperative for the timely provision of medical intervention and the reduction of its mortality …
imperative for the timely provision of medical intervention and the reduction of its mortality …
Blind hyperspectral unmixing using autoencoders: A critical comparison
Deep learning (DL) has heavily impacted the data-intensive field of remote sensing.
Autoencoders are a type of DL methods that have been found to be powerful for blind …
Autoencoders are a type of DL methods that have been found to be powerful for blind …