Artificial intelligence in physical sciences: Symbolic regression trends and perspectives
Symbolic regression (SR) is a machine learning-based regression method based on genetic
programming principles that integrates techniques and processes from heterogeneous …
programming principles that integrates techniques and processes from heterogeneous …
A review on the application of deep learning in system health management
Given the advancements in modern technological capabilities, having an integrated health
management and diagnostic strategy becomes an important part of a system's operational …
management and diagnostic strategy becomes an important part of a system's operational …
Comparative performance analysis of wireless communication protocols for intelligent sensors and their applications
The systems based on intelligent sensors are currently expanding, due to theirs functions
and theirs performances of intelligence: transmitting and receiving data in real-time …
and theirs performances of intelligence: transmitting and receiving data in real-time …
Introducing children to machine learning concepts through hands-on experience
Machine Learning (ML) processes are integrated into devices and services that affect many
aspects of daily life. As a result, basic understanding of ML concepts becomes essential for …
aspects of daily life. As a result, basic understanding of ML concepts becomes essential for …
Artificial intelligence (AI) and machine learning for multimedia and edge information processing
The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …
numerous availabilities of mobile devices and Internet technologies together with the …
Decision tree and support vector machine for anomaly detection in water distribution networks
Drinking water quality monitoring is essential these days as the available water may be
affected by pollution and can cause several diseases. Hence, it's necessary to prevent any …
affected by pollution and can cause several diseases. Hence, it's necessary to prevent any …
Performance-based structural health monitoring through an innovative hybrid data interpretation framework
Abstract The utilization of Structural Health Monitoring (SHM) for performance-based
evaluation of structural systems requires the integration of sensing with appropriate data …
evaluation of structural systems requires the integration of sensing with appropriate data …
Novel learning algorithms for efficient mobile sink data collection using reinforcement learning in wireless sensor network
Generally, wireless sensor network is a group of sensor nodes which is used to continuously
monitor and record the various physical, environmental, and critical real time application …
monitor and record the various physical, environmental, and critical real time application …
[LIVRE][B] Artificial intelligence tools: decision support systems in condition monitoring and diagnosis
DG Pascual - 2015 - books.google.com
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and
Diagnosis discusses various white-and black-box approaches to fault diagnosis in condition …
Diagnosis discusses various white-and black-box approaches to fault diagnosis in condition …
Cluster-based vibration analysis of structures with GSP
This article describes a divide-and-conquer strategy suited for vibration monitoring
applications. Based on a low-cost embedded network of microelectromechanical …
applications. Based on a low-cost embedded network of microelectromechanical …