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 …
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 …
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
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 …
functional mechanisms. As the number of recording electrodes has been exponentially …
FPGA-based real-time epileptic seizure classification using Artificial Neural Network
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 …
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
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 …
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 …
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
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …
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 …
patterns in hyperdimensional spaces, high volumes of data, transient sources of variations …
[HTML][HTML] Cross-modal data programming enables rapid medical machine learning
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 …
labeled training data for model supervision. Thus, medical researchers increasingly turn to …
Automatic detection and classification of audio events for road surveillance applications
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 …
audio surveillance system that automatically detects perilous situations such as car crashes …