Deep learning for detecting multi-level driver fatigue using physiological signals: A comprehensive approach

M Peivandi, SZ Ardabili, S Sheykhivand, S Danishvar - Sensors, 2023 - mdpi.com
A large share of traffic accidents is related to driver fatigue. In recent years, many studies
have been organized in order to diagnose and warn drivers. In this research, a new …

Optimizing compliant gripper mechanism design by employing an effective bi-algorithm: Fuzzy logic and ANFIS

TVT Nguyen, NT Huynh, NC Vu, VND Kieu… - Microsystem …, 2021 - Springer
This investigation confronts the note-worthy improvement configuration gap in which such a
design method could be better focused on the multi-objective optimization design of a …

Predicting the risk of hypertension based on several easy-to-collect risk factors: a machine learning method

H Zhao, X Zhang, Y Xu, L Gao, Z Ma, Y Sun… - Frontiers in Public …, 2021 - frontiersin.org
Hypertension is a widespread chronic disease. Risk prediction of hypertension is an
intervention that contributes to the early prevention and management of hypertension. The …

DSNN: a DenseNet-based SNN for explainable brain disease classification

Z Zhu, S Lu, SH Wang, JM Gorriz… - Frontiers in Systems …, 2022 - frontiersin.org
Aims: Brain diseases refer to intracranial tissue and organ inflammation, vascular diseases,
tumors, degeneration, malformations, genetic diseases, immune diseases, nutritional and …

Optimization of rubber seed oil extraction: adaptive neuro-fuzzy inference-based yield prediction model by studying polarity and moisture content

SNM Khazaai, P Bhuyar, V Strezov, N Govindan… - BioEnergy …, 2024 - Springer
Due to the high oil content, rubber seed oil (RSO) has the potential to be used as a raw
material in biodiesel manufacturing. The present study was aimed at oil extraction on rubber …

Oscillation dam** neuro-based controllers augmented solar energy penetration management of power system stability

M Aref, AY Abdelaziz, ZW Geem, J Hong… - Energies, 2023 - mdpi.com
The appropriate design of the power oscillation dam** controllers guarantees that
distributed energy resources and sustainable smart grids deliver excellent service subjected …

Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology: A Review of Basic Elements

S Abdollahifard, A Farrokhi, A Mowla… - Neurologic …, 2024 - neurologic.theclinics.com
Artificial intelligence (AI) has become the topic of interest in various fields of research in the
current century, especially in recent years, engulfing many aspects of our lives ranging from …

RETRACTED ARTICLE: Enhanced decision support system to predict and prevent hypertension using computational intelligence techniques

M Ambika, G Raghuraman, L SaiRamesh - Soft Computing, 2020 - Springer
Medical decision support systems have been a core of intense research for years. The
ongoing study shows that artificial intelligence has been accustomed to probe risk factors for …

Dynamic contrast enhanced‐magnetic resonance imaging radiomics combined with a hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimization …

AG Tzalavra, I Andreadis, KV Dalakleidi… - Expert …, 2022 - Wiley Online Library
The authors propose a method for breast dynamic contrast enhanced‐magnetic resonance
imaging classification by combining radiomic texture analysis with a hybrid adaptive neuro …

An Improved Adaptive neuro-fuzzy inference framework for lung cancer detection and prediction on Internet of Medical Things platform

SLJ Shabu, J Refonaa, S Mallik, D Dhamodaran… - International Journal of …, 2024 - Springer
It has become increasingly difficult for medical practitioners to recognize illness in recent
years due to the emergence of new diseases from their myriad causes on a daily basis. Due …