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

譏笑

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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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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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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