Establishment of a deep learning network based on feature extraction and its application in gearbox fault diagnosis
Sign Up to like & getrecommendations! Published in 2019 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-019-09710-x
Abstract: Gearbox is an important part of mechanical equipment. If a fault cannot be timely detected, it will cause significant economic losses. In order to solve the problem of early fault diagnosis quickly and accurately, this… read more here.
Keywords: fault diagnosis; learning network; network; deep learning ... See more keywords
A Frontier: Dependable, Reliable and Secure Machine Learning for Network/System Management
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Network and Systems Management"
DOI: 10.1007/s10922-020-09512-5
Abstract: Modern networks and systems pose many challenges to traditional management approaches. Not only the number of devices and the volume of network traffic are increasing exponentially, but also new network protocols and technologies require new… read more here.
Keywords: machine learning; network; management; network system ... See more keywords
Transparent open-box learning network provides auditable predictions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Thermal Analysis and Calorimetry"
DOI: 10.1007/s10973-018-7722-9
Abstract: The transparent open-box (TOB) learning network algorithm adds the useful dimensions to machine learning of auditability and interrogation of each prediction made. It achieves this by making available for instant inspection the exact calculations and… read more here.
Keywords: transparent open; tob; open box; box ... See more keywords
Deep learning network for UAV person re-identification based on residual block
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-018-9633-7
Abstract: Dear editor, Unmanned aerial vehicles (UAVs) are well known for their flexibility and adaptability [1]. In recent years, UAVs have been commonly used as maneuverable cameras in surveillance systems. Consequently, people, as the primary monitoring… read more here.
Keywords: network uav; deep learning; person; identification ... See more keywords
Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109285
Abstract: Abstract Due to limited conditions of production sites, only the small fault dataset (target dataset) of the rolling bearing can be collected, which leads to the failure construction of the effective deep learning network. Aiming… read more here.
Keywords: learning network; rolling bearing; transfer learning; network ... See more keywords
Machine Learning and Network Analyses Reveal Disease Subtypes of Pancreatic Cancer and their Molecular Characteristics
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-58290-2
Abstract: Given that the biological processes governing the oncogenesis of pancreatic cancers could present useful therapeutic targets, there is a pressing need to molecularly distinguish between different clinically relevant pancreatic cancer subtypes. To address this challenge,… read more here.
Keywords: machine learning; pancreatic cancer; network analyses; cancer ... See more keywords
PairingNet: A Multi-Frame Based Vehicle Trajectory Prediction Deep Learning Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3260832
Abstract: The traffic infrastructure of a city requires evaluation and improvement through a large amount of data analysis. The construction and laborious work of traditional methods make computer vision flourish in traffic analysis. Among different computer… read more here.
Keywords: pairingnet; trajectory; deep learning; vehicle ... See more keywords
CLN: Cross-Domain Learning Network for 2D Image-Based 3D Shape Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3070969
Abstract: Retrieving 3D shapes based on 2D images is a challenging research topic, due to the significant gap between different domains. Recently, various approaches have been proposed to handle this problem. However, the majority of methods… read more here.
Keywords: domain; learning network; image; cross domain ... See more keywords
Active Object Detection Based on a Novel Deep Q-Learning Network and Long-Term Learning Strategy for the Service Robot
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3090707
Abstract: This article focuses on active object detection (AOD), one of the greatest challenges in the robotics field. A novel deep-Q-learning-network-based approach is proposed to utilize more useful status information for enhancing the training efficiency and… read more here.
Keywords: active object; deep learning; strategy; novel deep ... See more keywords
GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3109518
Abstract: Semantic segmentation is a fundamental task in computer vision, and it has various applications in fields such as robotic sensing, video surveillance, and autonomous driving. A major research topic in urban road semantic segmentation is… read more here.
Keywords: learning network; feature; semantic segmentation; multilabel learning ... See more keywords
Dynamic and Static Representation Learning Network for Recommendation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3177611
Abstract: Existing review-based recommendation methods learn a latent representation of user and item from user-generated reviews by a static strategy, which are unable to capture the dynamic evolution of users' interests and the dynamic attraction of… read more here.
Keywords: recommendation; representation learning; dynamic static; learning network ... See more keywords