首页|Department of Industrial Engineering Researcher Describes Advances in Machine Le arning (Automated Indoor Activity Monitoring For Elderly And Visually Impaired P eople Using Quantum Salp Swarm Algorithm With Machine Learning)
Department of Industrial Engineering Researcher Describes Advances in Machine Le arning (Automated Indoor Activity Monitoring For Elderly And Visually Impaired P eople Using Quantum Salp Swarm Algorithm With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to news originatingfrom the Department of Industrial Engineering by NewsRx editors, the research stated, “Elderly andvisi on-impaired indoor activity monitoring uses sensor technology to monitor interac tion and movementin the living area. This system can identify deviations from r egular patterns, provide alerts, and ensuresafety in case of emergencies or pot ential risks.”
Department of Industrial EngineeringAl gorithmsCyborgsEmerging TechnologiesMachine Learning
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