Quality 4.0: a review of big data challenges in manufacturing

CA Escobar, ME McGovern… - Journal of Intelligent …, 2021 - Springer
Industrial big data and artificial intelligence are propelling a new era of manufacturing, smart
manufacturing. Although these driving technologies have the capacity to advance the state …

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars… - … Signal Processing and …, 2022 - Elsevier
Epileptic seizures are one of the most crucial neurological disorders, and their early
diagnosis will help the clinicians to provide accurate treatment for the patients. The …

Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces

Z Liu, J Tang, B Gao, P Yao, X Li, D Liu, Y Zhou… - Nature …, 2020 - nature.com
Brain-machine interfaces are promising tools to restore lost motor functions and probe brain
functional mechanisms. As the number of recording electrodes has been exponentially …

FPGA-based real-time epileptic seizure classification using Artificial Neural Network

R Sarić, D Jokić, N Beganović, LG Pokvić… - … Signal Processing and …, 2020 - Elsevier
Epilepsy is a neurological disorder characterised by unusual brain activity widely known as
seizure affecting 4-7% of the world's population. The diagnosis of this disorder is currently …

Classification of construction hazard-related perceptions using: Wearable electroencephalogram and virtual reality

JH Jeon, H Cai - Automation in Construction, 2021 - Elsevier
Improving construction workers' safety is one of the most critical issues in the construction
industry. Methods have been developed to better identify construction hazards on a jobsite …

Quality 4.0–an evolution of Six Sigma DMAIC

CA Escobar, D Macias, M McGovern… - International journal of …, 2022 - emerald.com
Purpose Manufacturing companies can competitively be recognized among the most
advanced and influential companies in the world by successfully implementing Quality 4.0 …

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets

P Handa, E Gupta, S Muskan, N Goel - Expert Systems, 2023 - Wiley Online Library
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …

The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation

CA Escobar, D Macias-Arregoyta… - Quality …, 2024 - Taylor & Francis
Smart manufacturing (SM) processes exhibit rapidly increasing complexity, nonlinear
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …

[HTML][HTML] Cross-modal data programming enables rapid medical machine learning

JA Dunnmon, AJ Ratner, K Saab, N Khandwala… - Patterns, 2020 - cell.com
A major bottleneck in developing clinically impactful machine learning models is a lack of
labeled training data for model supervision. Thus, medical researchers increasingly turn to …

Automatic detection and classification of audio events for road surveillance applications

N Almaadeed, M Asim, S Al-Maadeed, A Bouridane… - Sensors, 2018 - mdpi.com
This work investigates the problem of detecting hazardous events on roads by designing an
audio surveillance system that automatically detects perilous situations such as car crashes …