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Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
This study proposes a method of estimating the measurement data of nearby seismic stations by training an artificial neural network (ANN) through...
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Image-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance...
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Efficient Neural Networks and Their Acceleration Techniques for Embedded Machine Learning
This chapter focuses on hardware, software, and machine learning co-design techniques for efficient neural networks. These techniques affect...
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Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools
Ball screws are frequently used as drive elements in the feed axes of machine tools. The failure of ball screw drives is associated with high...
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Structural health monitoring of ASCE benchmark building using machine learning algorithms
In this study, machine learning algorithms are utilized to build a vibration-based structural health monitoring (SHM) method for steel frame...
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Development of a Real-Time Anomaly Detection System for Dry Vacuum Pumps Using Low-Cost IoT Devices and Machine Learning
Data-driven health diagnosis methods based on machine learning have been receiving a lot of attention with the hope that they can open a new era for...
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GUI-based platform for slope stability prediction under seismic conditions using machine learning algorithms
One of the most significant and crucial issues in geotechnical engineering works, such as earth dams, embankments, and landfills to name a few, is...
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A comparative study of machine learning and deep learning algorithms for padel tennis shot classification
Data processing in sports is a phenomenon increasingly present at all levels, from professionals in search of tools to improve their performance to...
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Two-stage machine learning models for bowel lesions characterisation using self-propelled capsule dynamics
To foster early bowel cancer diagnosis, a non-invasive biomechanical characterisation of bowel lesions is proposed. This method uses the dynamics of...
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Modeling Static Liquefaction Susceptibility of Saturated Clayey Sand using Advanced Machine-Learning techniques
The identification of static liquefaction susceptibility is crucial for ensuring the safety and cost-effectiveness of structures. However,...
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On using machine learning algorithms for motorcycle collision detection
Globally, motorcycles attract vast and varied users. However, since the rate of severe injury and fatality in motorcycle accidents far exceeds that...
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Fall Detection in the Elderly using Different Machine Learning Algorithms with Optimal Window Size
Mobility deteriorates with age, and falls become more frequent, resulting in injuries or even death. However, many such injuries and deaths can be...
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Multibody dynamics and control using machine learning
Artificial intelligence and mechanical engineering are two mature fields of science that intersect more and more often. Computer-aided mechanical...
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Performance evaluation of an indigenously-designed high performance dynamic feeding robotic structure using advanced additive manufacturing technology, machine learning and robot kinematics
The purposed research paper evaluates the development process of a 3D printed high performance dynamic robotic structure using advanced additive...
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Classification of T6 Tempered 6XXX Series Aluminum Alloys Based on Machine Learning Principles
Aluminum alloys are widely used in each sector of engineering because of their lower density coupled with higher strength compared to many existing...
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Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load
Computer programming-based numerical programs are firmly established in geotechnical engineering, with rapid growth of finite element modeling and...
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Exploring Acceleration Data Resulting from Passenger Discomfort in a Railway Vehicle by Using Machine Learning
Rail transport continues to be a popular public choice for business and personal travel. Passenger comfort is, however, an important factor that will...
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A fault detection strategy for an ePump during EOL tests based on a knowledge-based vibroacoustic tool and supervised machine learning classifiers
This paper presents a methodology for identifying faulty components in an electric pump during the end-of-line test based on accelerations and...
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In-sensor human gait analysis with machine learning in a wearable microfabricated accelerometer
In-sensor computing could become a fundamentally new approach to the deployment of machine learning in small devices that must operate securely with...
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A joint multi-model machine learning prediction approach based on confidence for ship stability
Since the traditional ship stability failure probability assessment method has many input parameters and cumbersome intermediate calculation process,...
