Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction

A Asghar, S Jawaid Khan, F Azim… - Proceedings of the …, 2022 - journals.sagepub.com
Upper limb myoelectric prosthetic control is an essential topic in the field of rehabilitation.
The technique controls prostheses using surface electromyogram (sEMG) and intramuscular …

Development of machine learning model for diagnostic disease prediction based on laboratory tests

DJ Park, MW Park, H Lee, YJ Kim, Y Kim, YH Park - Scientific reports, 2021 - nature.com
The use of deep learning and machine learning (ML) in medical science is increasing,
particularly in the visual, audio, and language data fields. We aimed to build a new …

Tomato leaf disease classification by exploiting transfer learning and feature concatenation

MSAM Al‐gaashani, F Shang… - IET Image …, 2022 - Wiley Online Library
Tomato is one of the most important vegetables worldwide. It is considered a mainstay of
many countries' economies. However, tomato crops are vulnerable to many diseases that …

Evaluation of tree-based ensemble machine learning models in predicting stock price direction of movement

EK Ampomah, Z Qin, G Nyame - Information, 2020 - mdpi.com
Forecasting the direction and trend of stock price is an important task which helps investors
to make prudent financial decisions in the stock market. Investment in the stock market has a …

[HTML][HTML] Signal detection in pharmacovigilance: a review of informatics-driven approaches for the discovery of drug-drug interaction signals in different data sources

H Ibrahim, A Abdo, AM El Kerdawy, AS Eldin - Artificial intelligence in the …, 2021 - Elsevier
The objective of this article is to review the application of informatics-driven approaches in
the pharmacovigilance field with focus on drug-drug interaction (DDI) safety signal discovery …

Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners

A Anuragi, DS Sisodia, RB Pachori - Biomedical signal processing and …, 2022 - Elsevier
Electroencephalogram (EEG) signals are non-linear and non-stationary in nature. The
phase-space representation (PSR) method is useful for analysing the non-linear …

XAI framework for cardiovascular disease prediction using classification techniques

P Guleria, P Naga Srinivasu, S Ahmed, N Almusallam… - Electronics, 2022 - mdpi.com
Machine intelligence models are robust in classifying the datasets for data analytics and for
predicting the insights that would assist in making clinical decisions. The models would …

EMG hand gesture classification using handcrafted and deep features

JM Fajardo, O Gomez, F Prieto - Biomedical Signal Processing and Control, 2021 - Elsevier
Currently, electromyographic (EMG) signal gesture recognition is performed with devices of
many channels. Each channel gives a signal that must be filtered and processed, which …

Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique

SA Suha, MN Islam - Heliyon, 2023 - cell.com
Polycystic ovary syndrome (PCOS) is the most frequent endocrinological anomaly in
reproductive women that causes persistent hormonal secretion disruption, leading to the …