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Strength Exercise Monitoring with Inertial Sensors
To monitor the strength exercises, the idea is to capture a template signal while instructing users to perform the movements correctly according to...
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CrashNet: an encoder–decoder architecture to predict crash test outcomes
Destructive car crash tests are an elaborate, time-consuming, and expensive necessity of the automotive development process. Today, finite element...
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Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis
Artificial intelligence is extensively utilized across various high-risk domains, and ensuring the safety, reliability, and trustworthiness of these...
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Impact of Organizational Factors on Accident Prediction in the Retail Sector
Although different actions to prevent accidents at work have been implemented in companies, the number of accidents at work continues to be a problem...
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The propositional normal default logic and the finite/infinite injury priority method
In propositional normal default logic, given a default theory (Δ, D ) and a well-defined ordering of D , there is a method to construct an extension of...
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Epileptic seizure endorsement technique using DWT power spectrum
EEG signals play significant role in the study of mental disorders. Epilepsy is one of the major mental disorders and need significant technological...
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Simulation Analysis of Synchronous Walking Control for Centaur System
Carrying heavy loads while walking is a physically demanding activity that often results in fatigue and even injury. Therefore, to alleviate this...
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Investigation on human lumbar spine MRI image using finite element method and soft computing techniques
In an overall human population, maximum number of adults suffers from back pain. Low back pain in any individual will greatly affect their daily...
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An Interactive Digital Twin of a Composite Manufacturing Process for Training Operators via Immersive Technology
Recently, there has been a growing interest in digital learning platforms and immersive technology for teaching, e.g., complex machine operators....
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Iterative Dichotomiser Maximum Posteriori Active Selection Algorithm for Analysis of Coma Patient’s Brain Waves Through WSN
Coma is an unconscious state wherein the patient is unable to respond. An Electroencephalogram (EEG) is a test of the brain’s ability to record...
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Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning
Cervical spondylotic myelopathy (CSM) is the main cause of cervical spinal cord dysfunction in adults, especially in middle-aged and elderly...
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Probabilistic Reliability Analysis of Steel Mezzanines Subjected to the Fire
The fire-resistance testing has its long history. The early attempt of fire testing was based on exposure of the buildings assembles on fire. It was...
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A Novel Design of Electro-hydraulic Driven Active Powered Ankle-Foot Prosthesis
This paper presents the design and control architecture of a full active powered ankle prosthesis driven by electro-hydrostatic actuator (EHA) to...
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Automatic detection of migraine disease from EEG signals using bidirectional long-short term memory deep learning model
Migraine is a neurological disease defined by recurrent attacks of headache accompanied by nausea and vomiting, which causes autonomic nervous system...
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A Dual-Size Convolutional Kernel CNN-Based Approach to EEG Signal Classification
In this paper, an algorithm based on a combination of Riemannian space and convolutional neural network is proposed for the feature extraction as...
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Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networks
Predicting pediatric spinal deformity (PSD) from X-ray images collected on the patient’s initial visit is a challenging task. This work builds on our...
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Detection and classification of human respiration under building debris model using VHF/UHF waves
Detecting live humans in buildings that have collapsed due to disasters and identifying their condition of health is of great importance for search...
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A video system based on convolutional autoencoder for drowning detection
Computer vision combined with deep learning technologies is widely used in video surveillance. In this paper, it is applied to drowning detection...
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A comprehensive study to learn the impact of augmented reality and haptic interaction in ultrasound-guided percutaneous liver biopsy training and education
Simulation based training methods are gaining popularity as they could provide a platform for practitioners to gain hands-on experience without...
