
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103567 - 103567
Published: Dec. 1, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103567 - 103567
Published: Dec. 1, 2024
Language: Английский
AIP Advances, Journal Year: 2024, Volume and Issue: 14(4)
Published: April 1, 2024
Stress can increase the heart rate, causing dangerous conditions that cause significant harm and even death. Therefore, managing stress well to control rate is vital. Monitoring levels using biomedical devices essential prevent further damage individual. Regular monitoring facilitates acquisition of individual through information. In this research, a MAX30100 sensor produce Beats Per Minute (BPM) data, which show experienced by person during four daily activities (sitting, walking, running, sleeping) when watching horror movie. This research underscores potential cost-effective wireless solutions portability facilitate real-time remote surveillance. The researchers introduced an innovative methodology reusing everyday consumer devices, initially intended for routine activities, measure in unique context—precisely controlled experiment involving movie-watching scenario. ultimate achievement was creating stationary device easy access, use, space-saving, adept at effectively tracking indicators. BPM readings obtained from have scores similar those app. proposed inclusion other sensors, such as photoplethysmograph, electrocardiogram, galvanic skin response, provide more holistic assessment stress. Leveraging cloud technology data storage enables long-term in-depth analysis patterns over time.
Language: Английский
Citations
11Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105115 - 105115
Published: Sept. 1, 2024
Language: Английский
Citations
8Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 105384 - 105384
Published: Oct. 1, 2024
Language: Английский
Citations
8Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 16(1), P. 103206 - 103206
Published: Dec. 7, 2024
Language: Английский
Citations
7Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 30, 2025
Language: Английский
Citations
0International Journal of Low-Carbon Technologies, Journal Year: 2025, Volume and Issue: 20, P. 590 - 604
Published: Jan. 1, 2025
Abstract The hybrid AI-based battery management system (HAI-BMS) is proposed to solve the complex problem of electric vehicle (EV) management. It combines conventional manipulation processes with system-gaining knowledge neural networks and reinforcement learning algorithms. This simulation showcases capability BMS transform electric-powered transportation by demonstrating substantial improvements performance, lifespan, average efficiency. By incorporating AI techniques into BMSs automobiles, HAI-BMS paving manner for future options that are sensible, bendy, eco-friendly.
Language: Английский
Citations
0Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105964 - 105964
Published: March 1, 2025
Language: Английский
Citations
0Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105969 - 105969
Published: March 1, 2025
Language: Английский
Citations
0Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 124, P. 435 - 445
Published: April 8, 2025
Language: Английский
Citations
0Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106125 - 106125
Published: April 1, 2025
Language: Английский
Citations
0