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Knowl based syst

WebApr 22, 2024 · A novel weak fault diagnosis method for rolling bearings based on LSTM considering quasi-periodicity, Knowl. Based Syst. 231 (2024). [14] Liu Y.P., Jiang H.K., Liu C.Q., Yang W.F., Sun W., Data-augmented wavelet capsule generative adversarial network for rolling bearing fault diagnosis, Knowl. Based Syst. 252 (2024). WebKnowledge-based systems are a form of artificial intelligence ( AI) designed to capture the knowledge of human experts to support decision-making. An expert system is an example …

Knowledge-Based Systems (journal) - Wikipedia

WebOct 30, 2012 · In this work, the effects of class imbalance on model training and model assessing are discussed. Moreover, a unified and systematic framework for dealing with the problem of imbalanced classification is proposed, based on a smoothed bootstrap re-sampling technique. WebDec 1, 2024 · Zhao WWang LZhang ZAtom search optimization and its application to solve a hydrogeologic parameter estimation problemKnowl-Based Syst2024163283 30410.1016/j.knosys.2024.08.030 27. Dhiman GKumar VEmperor penguin optimizer: a bio-inspired algorithm for engineering problemsKnowl-Based Syst202415920 … tehachapi mls rapmls https://ticoniq.com

-ANONYMITY: A MODEL FOR PROTECTING PRIVACY1

WebApr 25, 2014 · Knowl. Based Syst. 2002, 10, 557–570. [Google Scholar] Sweeney, L. Achieving k-anonymity privacy protection using generalization and suppression. Int. J. Unc. Fuzz. Knowl. Based Syst. 2002, 10, 571–588. [Google Scholar] Malin, B.; Sweeney, L. How (not) to protect genomic data privacy in a distributed network: Using trail re-identification ... WebApr 1, 2011 · This paper proposes a database analysis method aimed at the process of building a new ontology. The analysis is based on the idea that a database already … WebFuzziness Knowl.-Based Syst.5(1997) 411–427. Google Scholar [12] Gottwald S. , A Treatise on Many-valued Logic, Research Studies Press, Baldock, 2001. Google Scholar [13] Herrera-Viedma E., Herrera F., Chiclana F., Luque M. , Some issues on consistency of fuzzy preference relations, Eur. J. Oper. Res.154(2004) 98–109. Google ScholarCross Ref tehachapi bike trails

Engineering Knowledge Graph From Patent Database

Category:International Journal of Uncertainty, Fuzziness and …

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Knowl based syst

Combinative distance-based assessment method for decision …

WebKnowledge-Based Systems Vol 234, 25 December 2024 ScienceDirect.com by Elsevier 12 CiteScore 8.139 Impact Factor Submit your article Guide for authors Volume 234 25 December 2024 Download full issue Previous vol/issue Next vol/issue Receive an update … Web[4] Liu N., Shen B., Aspect-based sentiment analysis with gated alternate neural network, Knowl.-Based Syst. 188 (2024). Google Scholar Digital Library [5] Xue W. , Li T. , Aspect based sentiment analysis with gated convolutional networks , in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1 ...

Knowl based syst

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WebApr 12, 2024 · Multi-criteria group decision-making (MCGDM) approaches have a substantial effect on decision-making in a range of critical sectors, including science, business, and real-life research. These strategies also efficiently assist researchers in resolving challenges that may arise throughout their study activity. The current work's … WebJan 28, 2024 · Knowl.-Based Syst. 198, 105949 (2024) Article Google Scholar Pławiak, P.; Abdar, M.: Novel methodology for cardiac arrhythmias classification based on long-duration ECG signal fragments analysis.

The original use of the term knowledge base was to describe one of the two sub-systems of an expert system. A knowledge-based system consists of a knowledge-base representing facts about the world and ways of reasoning about those facts to deduce new facts or highlight inconsistencies. WebKnowledge-Based Systems Vol. 227, No. C Deep learning in ECG diagnosis: A review research-article Deep learning in ECG diagnosis: A review Authors: Xinwen Liu , Huan …

WebComputer vision-based activity recognition is challenging due to problems such as partial occlusion, background clutter, appearance, lighting, viewpoint, and changes in scale. Our research aims to detect human kinematic motions such as walking or running using smartphones’ sensor data within a high-performance framework. ... Knowl.-Based Syst ... WebJan 6, 2024 · Context-aware processing is a research hotspot in the recommendation area, which achieves better recommendation accuracy by considering more context information such as time, location and etc. besides the information of the users, items and ratings.

Knowledge-Based Systems is a peer-reviewed academic journal covering computer science, with a particular focus on knowledge-based systems. It was established in 1987 and is published 24 times per year by Elsevier. The editor-in-chief is Jie Lu (University of Technology Sydney). Hamido Fujita (Iwate Prefectural University), who led the journal in the period 2010–2024, is emeritus editor. According to the Journal Citation Reports, the journal has a 2024 impact factor of 8.038.

WebApr 11, 2024 · Neural network optimization algorithm based non-singular fast terminal sliding-mode control for an uncertain autonomous ground vehicle subjected to disturbances - Lhoussain El Hajjami, El Mehdi Mellouli, Vidas Žuraulis, Mohammed Berrada, Ismail Boumhidi, 2024 Search View access options View profile Create profile Cart 0 emoji hoffnungsvollWebAbstract. With the development of artificial intelligence, we pay widespread attention to the high reliability and interpretability of resulting architectures and algorithms. As one of the main methods of machine learning, the “black-box” mechanism of … emoji hrvatskiWebA new locally adaptive k-nearest neighbor algorithm based on discrimination class, Knowl.-Based Syst. 204 (2024). [7] Wu Y.H., Fang Y.Z., Shang S.K., Jin J., Wei L., Wang H.Z., A novel framework for detecting social bots with deep neural networks and active learning, Knowl.-Based Syst. 211 (2024). tehachapi measure xWebOct 30, 2012 · Knowl Based Syst 25: 3–12 Article Google Scholar Guo H, Viktor HL (2004) Boosting with data generation: improving the classification of hard to learn examples. SIGKDD Explor 6 (1): 30–39 Article Google Scholar Hand D (2006) Classifier technology and the illusion of progress. Stat Sci 21 (1): 1–14 Article MATH MathSciNet Google Scholar emoji horizontal lineWebApr 12, 2024 · The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and … emoji horasWebKnowl.-Based Syst. 180: 91-103 (2024) 11. An unsupervised parameter learning model for RVFL neural network. Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu. Neural Networks 112: 85-97 (2024) 12. Classification, Denoising, and Deinterleaving of Pulse Streams With Recurrent Neural Networks. Zhang-Meng Liu, Philip S. Yu. IEEE Trans ... emoji hollandeWebIt covers research on methodologies for the management of uncertainty. Topics include expositions on methods such as Bayesian and probabilistic methods, nonstandard logic, … emoji hmm