Breast cancer detection using deep learning: Datasets, methods, and challenges ahead

RA Dar, M Rasool, A Assad - Computers in biology and medicine, 2022 - Elsevier
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 …

[HTML][HTML] Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili… - Journal of big Data, 2021 - Springer
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 …

[HTML][HTML] 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 …

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 …

Deep learning to filter SMS Spam

PK Roy, JP Singh, S Banerjee - Future Generation Computer Systems, 2020 - Elsevier
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 …

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 …

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 …

Secondary use of electronic health record: Opportunities and challenges

SM Shah, RA Khan - IEEE access, 2020 - ieeexplore.ieee.org
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 …

A comparison of acoustic and linguistics methodologies for Alzheimer's dementia recognition

N Cummins, Y Pan, Z Ren, J Fritsch… - Interspeech …, 2020 - eprints.whiterose.ac.uk
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 …

Multibody dynamics and control using machine learning

A Hashemi, G Orzechowski, A Mikkola… - Multibody System …, 2023 - Springer
Artificial intelligence and mechanical engineering are two mature fields of science that
intersect more and more often. Computer-aided mechanical analysis tools, including …