Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Breast Cancer (BC) is the most commonly diagnosed cancer and second leading cause of
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
mortality among women. About 1 in 8 US women (about 13%) will develop invasive BC …
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Developing a speech recognition system for recognizing tonal speech signals using a convolutional neural network
S Dua, SS Kumar, Y Albagory, R Ramalingam… - Applied Sciences, 2022 - mdpi.com
Deep learning-based machine learning models have shown significant results in speech
recognition and numerous vision-related tasks. The performance of the present speech-to …
recognition and numerous vision-related tasks. The performance of the present speech-to …
Speaker gender recognition based on deep neural networks and ResNet50
AA Alnuaim, M Zakariah, C Shashidhar… - Wireless …, 2022 - Wiley Online Library
Several speaker recognition algorithms failed to get the best results because of the wildly
varying datasets and feature sets for classification. Gender information helps reduce this …
varying datasets and feature sets for classification. Gender information helps reduce this …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
A survey of emotion recognition methods with emphasis on E-Learning environments
M Imani, GA Montazer - Journal of Network and Computer Applications, 2019 - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
is essential for electronic learning (e-learning) systems. Some researchers have proposed …
Automatic speech recognition: Systematic literature review
S Alharbi, M Alrazgan, A Alrashed, T Alnomasi… - Ieee …, 2021 - ieeexplore.ieee.org
A huge amount of research has been done in the field of speech signal processing in recent
years. In particular, there has been increasing interest in the automatic speech recognition …
years. In particular, there has been increasing interest in the automatic speech recognition …
Secondary use of electronic health record: Opportunities and challenges
In the present technological era, healthcare providers generate huge amounts of clinical
data on a daily basis. Generated clinical data is stored digitally in the form of Electronic …
data on a daily basis. Generated clinical data is stored digitally in the form of Electronic …
A comparison of acoustic and linguistics methodologies for Alzheimer's dementia recognition
In the light of the current COVID-19 pandemic, the need for remote digital health assessment
tools is greater than ever. This statement is especially pertinent for elderly and vulnerable …
tools is greater than ever. This statement is especially pertinent for elderly and vulnerable …
Multibody dynamics and control using machine learning
Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …
intersect more and more often. Computer-aided mechanical analysis tools, including …