Patrick Rider

Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome

Changing the way we work: elevating energy expenditure with workstation alternatives

Spectral analysis for pulmonary nodule detection using the optimal fractional S-Transform

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Deep learning for smart manufacturing: Methods and applications

An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks

Applications of machine learning to machine fault diagnosis: A review and roadmap

Teager–Kaiser energy operator signal conditioning improves EMG onset detection

Acceptability and effects of a seated active workstation during sedentary work