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A survey of machine learning techniques in structural and multidisciplinary optimization
Machine Learning (ML) techniques have been used in an extensive range of applications in the field of structural and multidisciplinary optimization...
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Appraising Machine and Deep Learning Techniques for Traffic Conflict Prediction with Class Imbalance
Predicting traffic conflicts is pivotal for vehicle-based active safety system to prevent crashes. Yet, conflict prediction is a challenging task as...
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Mass estimation method for intelligent vehicles based on fusion of machine learning and vehicle dynamic model
Vehicle mass is an important parameter for motion control of intelligent vehicles, but is hard to directly measure using normal sensors. Therefore,...
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Application of Homomorphic Encryption in Machine Learning
Big data technologies, such as machine learning, have increased data utility exponentially. At the same time, the cloud has made the deployment of...
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Development of a Light and Accurate Nox Prediction Model for Diesel Engines Using Machine Learning and Xai Methods
In the previous research, we had developed a Nitrogen Oxides emissions (NOx) prediction model using deep learning methodology. However, it is...
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Machine learning-aided modeling of dry pressure drop in rotating packed bed reactors
The challenge of reducing the carbon footprint of many chemical processes and bringing down their development costs can be achieved through process...
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A service-oriented energy assessment system based on BPMN and machine learning
Increasing energy cost and environmental problems push forward research on energy saving and emission reduction strategy in the manufacturing...
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Diagnosing bearing fault location, size, and rotational speed with entropy variables using extreme learning machine
Bearings play a crucial role in transmitting motion in rotating machines and are considered fundamental equipment. Any errors occurring in these...
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Application of Machine Learning and Deep Learning in High Performance Computing
This chapter explores the fascinating intersection of biology and computer science, where nature’s design principles are harnessed to solve complex...
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Sco** the Landscape of (Extreme) Edge Machine Learning Processors
At the (extreme) edge, machine learning applications for IoT have gained immense popularity, with academic and commercial players providing various...
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Machine Learning Analysis in the Diagnostics of the Dynamics of Ball Bearing with Different Radial Internal Clearance
Interpretation of acceleration time-series from rolling-element bearings is sometimes challenging if no prior knowledge of the system is available....
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Optimizing Environment-aware VANET Clustering using Machine Learning
Clustering is important to improve the quality of service in many VANET protocols and applications, such as data dissemination, media access control,...
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Machine Learning and Deep Learning Techniques
The classification of images is a multifaceted task influenced by numerous factors. This chapter looks at a variety of difficulties, challenges,...
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A Hybrid Physical and Machine Learning Model for Assessing Landslide Spatial Probability Caused by Raising of Ground Water Table and Earthquake in Atsuma, Japan — Case Study
Landslides are catastrophic natural events primed and/or triggered by extreme rainfalls and strong earthquakes. Simultaneous occurrence of rainfall...
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Comparative Study of Machine Learning and Deep Learning for Fungi Classification
The aim of this paper is to compare and contrast between deep learning (DL) and various machine learning (ML) algorithms for fungi classification....
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Highly accurate sybil attack detection in vanet using extreme learning machine with preserved location
Due to the development of transportation technology, the number of vehicles on the road has been exponential over the years. Road safety is one of...
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Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses
The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an...
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Infrastructure damage assessment via machine learning approaches: a systematic review
Monitoring civil infrastructures to detect early damage and extract the data required for urban management can prevent sudden infrastructure...
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Human Activity Classification Using Supervised Machine Learning Algorithms
In this paper, using smartphones the human static and dynamic activities are measured via the inbuilt inertial measurement sensors. The dataset...
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CDN Service Detection Method Based on Machine Learning
Content Delivery Network (CDN) is an emerging network acceleration technology and an important infrastructure on the Internet. However, there are...