[HTML][HTML] From DevOps to MLOps: Overview and application to electricity market forecasting
In the Software Development Life Cycle (SDLC), Development and Operations (DevOps)
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
Data-driven machinery fault detection: A comprehensive review
In this era of advanced manufacturing, it's now more crucial than ever to diagnose machine
faults as early as possible to guarantee their safe and efficient operation. With the massive …
faults as early as possible to guarantee their safe and efficient operation. With the massive …
A new layer structure of cyber-physical systems under the era of digital twin
Cyber-Physical Systems (CPS) are new systems designed to support and synthesize
sensing, communication, and computing components that interact with physical objects so …
sensing, communication, and computing components that interact with physical objects so …
[HTML][HTML] Data-driven machinery fault diagnosis: A comprehensive review
In this era of advanced manufacturing, it's now more crucial than ever to diagnose machine
faults as early as possible to guarantee their safe and efficient operation. With the increasing …
faults as early as possible to guarantee their safe and efficient operation. With the increasing …
Digital twins of smart campus: Performance evaluation using machine learning analysis
The Internet of Things (IoT) paradigm is gradually becoming more prevalent through
numerous devices and technologies, including sensors, actuators, microcontrollers, cloud …
numerous devices and technologies, including sensors, actuators, microcontrollers, cloud …
[HTML][HTML] An unsupervised incremental learning model to predict geological conditions for earth pressure balance shield tunneling
Current machine learning models for predicting geological conditions during earth pressure
balance (EPB) shield tunneling predominantly rely on accurate geological conditions as …
balance (EPB) shield tunneling predominantly rely on accurate geological conditions as …
MLOps critical success factors-A systematic literature review
Y Mehmood, N Sabahat, MA Ijaz - VFAST Transactions on Software …, 2024 - vfast.org
MLOps encompasses a collection of practices integrating machine learning into operational
activities, a recent addition to the diverse array of machine learning process models. The …
activities, a recent addition to the diverse array of machine learning process models. The …
Accelerating Deep Reinforcement Learning via Phase-Level Parallelism for Robotics Applications
YG Kim, YK Han, JK Shin, JK Kim… - IEEE Computer …, 2023 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) plays a critical role in controlling future intelligent
machines like robots and drones. Constantly retrained by newly arriving real-world data …
machines like robots and drones. Constantly retrained by newly arriving real-world data …
Machine-Learning Enhanced Information Fusion for Human Action Recognition at the Edge
H Sun - 2024 - search.proquest.com
Human action recognition (HAR) has made significant progress due to the rapid
development of edge computing and machine learning (ML) technologies. Traditional action …
development of edge computing and machine learning (ML) technologies. Traditional action …