The Scott open V-set monad and its categories of algebras
Sign Up to like & getrecommendations! Published in 2025 at "Communications in Algebra"
DOI: 10.1080/00927872.2025.2499072
Abstract: Abstract For a completely distributive lattice V, a novel class of lattice-valued Scott open sets, referred to as Scott open V-sets, is introduced on the powerset. These sets are utilized to construct a monad over… read more here.
Keywords: algebras scott; open set; scott open; monad categories ... See more keywords
An enhanced filtering-dynamic matching-coordinated interaction framework for open-set fault diagnosis of rolling bearings
Sign Up to like & getrecommendations! Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ae08d5
Abstract: Industrial fault diagnosis often requires open-set domain adaptation, in which target data may contain fault types absent from the source. An enhanced filtering-dynamic matching-coordinated interaction (EFDMCI) framework is introduced to address three practical obstacles: (i)… read more here.
Keywords: enhanced filtering; open set; coordinated interaction; fault ... See more keywords
Towards Open-Set Scene Graph Generation with Unknown Objects
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145465
Abstract: Scene graph generation (SGG) aims to detect objects and their relationships in an image, thereby enabling a detailed understanding of a complex scene for various real-world applications. In SGG applications such as robot vision, it… read more here.
Keywords: scene graph; graph generation; unknown objects; open set ... See more keywords
Open-Set Learning-Based Hologram Verification System Using Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3155870
Abstract: In this study, we address the hologram authenticity challenge by introducing a novel deep-learning based end-to-end hologram verification system. The system ultimately makes the decision whether the hologram image captured from a mobile application is… read more here.
Keywords: verification system; system; hologram verification; learning based ... See more keywords
Triple-Sigmoid Activation Function for Deep Open-Set Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3192621
Abstract: Traditional models for various machine learning problems such as image classification perform well only under the assumption of a closed set. This implies that inputs must belong to the classes for which the models were… read more here.
Keywords: triple sigmoid; activation function; model; set recognition ... See more keywords
Sensor-Based Open-Set Human Activity Recognition Using Representation Learning With Mixup Triplets
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221425
Abstract: The main objective of sensor-based human activity recognition (HAR) is to classify predefined human physical activities with multichannel signals acquired from wearable sensors. In a real-world scenario, signal data is changing over time and undefined… read more here.
Keywords: recognition; representation learning; sensor based; activity ... See more keywords
A Research of Gas Open-Set Identification Based on Data Augmentation Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3247571
Abstract: Significant progress has been made in convolutional neural networks (CNN) based gas recognition. However, existing electronic nose (e-Nose) algorithms all use the closed-set assumption that the test and training samples are in the same label… read more here.
Keywords: gas; set recognition; set identification; open set ... See more keywords
Relationship-Aware Unknown Object Detection for Open-Set Scene Graph Generation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3450908
Abstract: Scene graph generation (SGG) aims to detect the relationships of objects in an image. Recently, it has been extended to open-set SGG, which also considers unknown objects unseen in a training phase and thereby enables… read more here.
Keywords: scene graph; detection; set sgg; sgg ... See more keywords
Physics-Informed Neural Network-Based Open Set Classification of Neighboring Vehicle Motion for Decision-Making in Autonomous Driving
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3613724
Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification approach is proposed. Relative motion data from real-world… read more here.
Keywords: classification; physics informed; set classification; open set ... See more keywords
Data-Enhancement-Aided Protocol-Agnostic Transmitter Recognition for Open-Set in IoT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3176758
Abstract: Radio-frequency fingerprinting identification (RFFI), based on hardware inherent imperfections, is an effective technique for physical authentication in the Internet of Things (IoT). However, due to the nonstationary and open factors in realistic scenes, problems, such… read more here.
Keywords: recognition; system; rffi; protocol agnostic ... See more keywords
Open-Set Radar Emitter Recognition via Deep Metric Autoencoder
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3361899
Abstract: In the noncooperative electromagnetic environment, new radar emitters will emerge unexpectedly during the test phase, which brings the “open-set” radar emitter recognition (OS-RER). Conventional classifiers cannot identify new radar emitters that do not exist in… read more here.
Keywords: deep metric; autoencoder; open set; radar ... See more keywords