Results 11 to 20 of about 18,586 (269)
Dynamic integration of classifiers for handling concept drift [PDF]
Information Fusion, 2008 In the real world concepts are often not stable but change with time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may change over time as new pathogen strains develop resistance to antibiotics that were previously effective.
Tsymbal, Alexey +3 more
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Multi-View Hand-Hygiene Recognition for Food Safety
Journal of Imaging, 2020 A majority of foodborne illnesses result from inappropriate food handling practices. One proven practice to reduce pathogens is to perform effective hand-hygiene before all stages of food handling. In this paper, we design a multi-camera system that uses
Chengzhang Zhong +3 more
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Computers, 2023 The paper presents a machine-learning based approach to text-to-ontology mapping. We explore a possibility of matching texts to the relevant ontologies using a combination of artificial neural networks and classifiers.
Lukáš Korel +4 more
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Classifying 1-handles attached to knotted surfaces [PDF]
Transactions of the American Mathematical Society, 1988 We study a method of obtaining knotted surfaces in the 4 4 -sphere S 4 {S^4} by attaching embedded 2 2 -dimensional 1 1 -handles to a given knot. The main result is there is a one-to-one correspondence between the 1 1 -handles that ...
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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
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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
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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
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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
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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
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Wasit Journal of Computer and Mathematics Science, 2021 Network Intrusion Detection System (NIDS) detects normal and malicious behavior by analyzing network traffic, this analysis has the potential to detect novel attacks especially in IoT environments. Deep Learning (DL)has proven its outperformance compared
Rawaa Ismael Farhan +2 more
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