Results 21 to 30 of about 693,025 (273)
Open Linguistics, 2019 We analyze argument structure of whole-entity and handling classifier predicates in four sign languages (Russian Sign Language, Sign Language of the Netherlands, German Sign Language, and Kata Kolok) using parallel datasets (retellings of the Canary Row ...
Kimmelman Vadim +6 more
doaj +1 more source
Classification Methods Performance On Logistic Package State Recognition
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2023 In the distribution sector, logistic package experience activities, such as transport, distribution, storage, packaging, and handling. Even though those processes have reasonable operational procedures, sometimes the package experience mishandling.
Muhammad Auzan +3 more
doaj +1 more source
A Novel Integrated Classifier for Handling Data Warehouse Anomalies [PDF]
, 2011 Within databases employed in various commercial sectors, anomalies continue to persist and hinder the overall integrity of data. Typically, Duplicate, Wrong and Missed observations of spatial-temporal data causes the user to be not able to accurately utilise recorded information.
Peter Darcy +2 more
openaire +2 more sources
Recurrent Adaptive Classifier Ensemble for Handling Recurring Concept Drifts
Applied Computational Intelligence and Soft Computing, 2021 For most real-world data streams, the concept about which data is obtained may shift from time to time, a phenomenon known as concept drift. For most real-world applications such as nonstationary time-series data, concept drift often occurs in a cyclic fashion, and previously seen concepts will reappear, which supports a unique kind of concept drift ...
Tinofirei Museba +3 more
openaire +2 more sources
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data [PDF]
IEEE Transactions on Cybernetics, 2020 The performance of a classifier might greatly deteriorate due to missing data. Many different techniques to handle this problem have been developed. In this paper, we solve the problem of missing data using a novel transfer learning perspective and show that when an additive least squares support vector machine (LS-SVM) is adopted, model transfer ...
Guanjin Wang +3 more
openaire +3 more sources
A New Under-Sampling Method to Face Class Overlap and Imbalance
Applied Sciences, 2020 Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance.
Angélica Guzmán-Ponce +3 more
doaj +1 more source
Sensors, 2023 The Internet of Things (IoT) is the most abundant technology in the fields of manufacturing, automation, transportation, robotics, and agriculture, utilizing the IoT’s sensors-sensing capability.
Tejal Rathod +7 more
doaj +1 more source
PLoS ONE, 2021 The spread of Covid-19 has resulted in worldwide health concerns. Social media is increasingly used to share news and opinions about it. A realistic assessment of the situation is necessary to utilize resources optimally and appropriately.
Furqan Rustam +5 more
doaj +1 more source
The African Journal of Information and Communication, 2023 The narratives shared on social media during a health crisis such as COVID-19 reflect public perceptions of the crisis. This article provides findings from a study of the perceptions of South African citizens regarding the government’s response to the ...
Temitope Kekere +2 more
doaj +1 more source
Remote Sensing, 2022 The class imbalance problem has been reported to exist in remote sensing and hinders the classification performance of many machine learning algorithms.
Daying Quan +5 more
doaj +1 more source