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

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Few-Shot 1/, Anomalies Feedback: Damage Vision Mining Opportunity and Embedding Feature Imbalancejority-minority class imbalance, 3) foreground-background of spatial imbalance, 4) long-tailed class of pixel-wise imbalance. Since 2015, there has been many imbalanced studies using deep learning approaches that includes regression, image classification, object detection, semantic segmentation. How

小教堂

安慰

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比目魚

An Expert System for Decision Making in the Face of Imprecise, Inconsistent and Paracomplete Data – licting opinions or omit information. The usual systems based on classical reasoning to manipulate such data show us difficulty in implementation or their logical analysis. Even decision-makers are not comfortable with the presence of inaccurate information. This work presents an expert system that

Encephalitis

Machine Learning and Human Unlearningmber of variables that are related to models, types of algorithms, classification techniques, among others. In all of them, data continues to be the key element. A piece of data that is the input to a process to obtain information, which in turn can be transformed into data for a new process, in a f

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Circumstance Evaluation Using Extreme Value Analysis on?Charging Station Data: The Case of?DEI Blue e demand for EV charging. The datasets have been provided by ., a service designed to provide integrated e-mobility solutions to individuals, companies and public administration throughout Greece. Eventhough the data are limited as they have been collected during a period of only twelve months, our

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周興旺

Reinforcement Learning Agents in?Precision Agriculture, has marked an era of enhanced efficiency, productivity, and sustainability through exploiting scientific fields such as Machine Learning, Big Data, Computer Vision, Internet of Things and Robotics being applied in agriculture more and more. Given the frequent need for ongoing decision-making insid