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Physical Integrated Digital twin-based Interaction Mechanism of Artificial Intelligence Rehabilitation Robots Combining Visual Cognition and Motion Control
Within the evolving landscape of rehabilitation robotics, integrating cyber-physical systems with digital twin generation presents a singular...
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On Bringing Fault Detection to Skill-Based Production
In the context of Industrie 4.0, modular and skill-based production enables the manufacturing of small batch sizes. This leads to increased...
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IoT in Autism Detection in Its Early Stages
The prediction of the different types of autism at their early stages is very difficult from one or two preliminary symptoms. This is even more...
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An Improved Decision Support System for Automated Sleep Stages Classification Based on Dual Channels of EEG Signals
An automatic analysis of sleep stage classification can reduce the use of manual annotating the sleep recordings from subjects during sleep time....
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Fault Detection and Diagnosis of Cyber-Physical System Using the Computer Vision and Image Processing
In the techno world, Corporate Business applies new technologies for manufacturing and production with numerous cyber-physical system strategies....
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Voice Features Examination for Parkinson’s Disease Detection Utilizing Machine Learning Methods
Manageable symptoms can be a critical and important thing for people with Parkinson’s disease (PWP) in order to maintaining their quality of life....
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Smart City Healthcare Cyber Physical System: Characteristics, Technologies and Challenges
The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises...
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Utilizing Data from Quick Access Recorder to Predict Faulty Processing on Aircrafts
A quick access recorder (QAR) that is carried on the aircraft captures hundreds of parameter data generated during flight. However, these information...
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Consequence of a Geriatric Psychomotricity Program on the Quality of Life of Older Adults
The quality of life of older adults has been analysed from various perspectives, where health, nutrition, physical activity and family support have...
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Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-quality patient treatment in multifaceted clinical...
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Review on Deep Learning Algorithms in Medical Devices
The devices used in medical Industry depend on the senor data and medical images. Using sensor data, the medical data is processed to understand the...
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Exploring the influence of music education on the development of college mental health based on big data
The development of college students’ and adolescents’ mental and physical health is of prime importance and has a crucial role in China’s...
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Exploring AI’s Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles
Neurodegenerative diseases are an ever-growing type of a disease which is very common in elderly people. With the increase in the population of older...
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Parkinsonism and Digital Measurement
Parkinson’s disease and “Parkinson’s plus” syndromes such as Progressive Supranuclear Palsy are a group of neurodegenerative conditions characterised...
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Real-time facial emotion recognition model based on kernel autoencoder and convolutional neural network for autism children
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that is characterized by abnormalities in the brain, leading to difficulties in...
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An Intelligent System for Plant Disease Diagnosis and Analysis Based on Deep Learning and Augmented Reality
Pathogens existing in crop fields cause harm to the plant and result in depletion of the production. These disease-causing microorganisms causes...
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Coronavirus Pandemic: A Review of Different Machine Learning Approaches
Millions of individuals have been affected by coronavirus illness. The coronavirus epidemic offers a significant medical danger to the wider range of...
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Overview on Fault Detection and Diagnosis Methods in Building HVAC Systems: Toward a Hybrid Approach
This paper aims to provide a summarized classification of fault detection and diagnosis (FDD) methods in Heating Ventilation and Air Conditioning...
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A Review on Machine Learning Methods in Smart Healthcare Systems
The concept of deploying IoT networks for healthcare application is one that has the potential to improve patient care. This idea is exciting and has...
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Diagnosis and Analysis of Multiple Sclerosis Disease Using Artificial Intelligence
Multiple sclerosis (MS) is a chronic acquired idiopathic, autoimmune inflammatory demyelinating disorder of the central nervous system (CNS) that...