Machine learning on neutron and x-ray scattering and spectroscopies

Z Chen, N Andrejevic, NC Drucker, T Nguyen… - Chemical Physics …, 2021 - pubs.aip.org
Neutron and x-ray scattering represent two classes of state-of-the-art materials
characterization techniques that measure materials structural and dynamical properties with …

Skin lesion segmentation and multiclass classification using deep learning features and improved moth flame optimization

MA Khan, M Sharif, T Akram, R Damaševičius… - Diagnostics, 2021 - mdpi.com
Manual diagnosis of skin cancer is time-consuming and expensive; therefore, it is essential
to develop automated diagnostics methods with the ability to classify multiclass skin lesions …

Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization

Y Zhu, G Li, R Wang, S Tang, H Su, K Cao - Applied Acoustics, 2021 - Elsevier
The hydraulic axial piston pump is the power heart of the hydraulic transmission system in
aerospace equipment and industrial filed. Its stable operation will directly affect the safety …

Coronavirus covid-19 detection by means of explainable deep learning

F Mercaldo, MP Belfiore, A Reginelli, L Brunese… - Scientific Reports, 2023 - nature.com
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex
and new condition, considering that until the end of December 2019 this virus was totally …

Convolutional neural network for drowsiness detection using EEG signals

S Chaabene, B Bouaziz, A Boudaya, A Hökelmann… - Sensors, 2021 - mdpi.com
Drowsiness detection (DD) has become a relevant area of active research in biomedical
signal processing. Recently, various deep learning (DL) researches based on the EEG …

Intelligent fault diagnosis of hydraulic piston pump based on wavelet analysis and improved alexnet

Y Zhu, G Li, R Wang, S Tang, H Su, K Cao - Sensors, 2021 - mdpi.com
Hydraulic piston pump is the heart of hydraulic transmission system. On account of the
limitations of traditional fault diagnosis in the dependence on expert experience knowledge …

Deep learning model for detection of hotspots using infrared thermographic images of electrical installations

EK Ukiwe, SA Adeshina, T Jacob… - Journal of Electrical …, 2024 - Springer
Hotspots in electrical power equipment or installations are a major issue whenever it occurs
within the power system. Factors responsible for this phenomenon are many, sometimes …

A real time Arabic sign language alphabets (ArSLA) recognition model using deep learning architecture

Z Alsaadi, E Alshamani, M Alrehaili, AAD Alrashdi… - Computers, 2022 - mdpi.com
Currently, treating sign language issues and producing high quality solutions has attracted
researchers and practitioners' attention due to the considerable prevalence of hearing …

A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection

R Ali, A Manikandan, R Lei, J Xu - Scientific Reports, 2024 - nature.com
Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1
million people get skin cancer every year in the world. The effectiveness of the disease's …

Predictive artificial intelligence model for detecting dental age using panoramic radiograph images

SS Aljameel, L Althumairy, B Albassam… - Big Data and Cognitive …, 2023 - mdpi.com
Predicting dental development in individuals, especially children, is important in evaluating
dental maturity and determining the factors that influence the development of teeth and …