Titlebook: Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,; IISA2023 Nikolaos Bourbakis,George A.

讥笑

Medien • Kultur • Kommunikationing. The models were assessed twice: first using test data and again using unseen data. The ET model surpassed the other models with an accuracy of 82.09% and continued to dominate the validation and evaluation processes, according to the results from the Notepad++ dataset. On the other hand, the re

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Conference proceedings 2024d to the collection of new information, and the “Information à Intelligence à Systems à Applications” circle is repeated at ever higher levels. These works cover a broad spectrum of topics from both novelties in theory and advanced methodologies as well as novel applications in energy, agriculture,

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A Multi-dimensional Survey on Learning from Imbalanced Dataorization approach. Specifically, we classify the relevant works according to: i) the application field they focus on, ii) the methods they introduce to mitigate class imbalance, and iii) the classification models they utilize to evaluate the introduced algorithms. Additionally, we cover the state-o

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Machine Learning and Human Unlearning academic context called “tentacles-metric” (TENMET). The objective of the TENMET metric is to detect the intensity of the deviation of the data that is progressively and automatically incorporated into the learning machines, based on a heuristic and systematic evaluation of social networks. The ana

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CHIDE

Machine Learning and Thermal Imaging in Precision Agricultureh machine learning algorithms for the early detection and automated identification of pests and diseases, enabling prompt and effective interventions. This paper aims to provide a comprehensive overview of current applications and emerging trends in the use of thermal imaging and machine learning in

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伪书

Digitization of Forensic Engineering: Overview, Perspectives and New Challengestion entails, in both scientific and innovation terms. Secondly, different examples of data-driven approaches and intelligent systems for knowledge extraction, representation and classification will be presented in multiple contexts of forensic engineering. Following a methodologic analysis of the m

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Supporting the Maintenance Process of Healthcare Pervasive Devicesus stakeholders involved in production (Owner), use (Customer) and operations (Maintainer or 3rd Party) of a system..Enabling techniques of this approach are: edge-cloud continuum, formal models, machine learning, model-driven engineering, knowledge management and representation techniques.

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