Titlebook: Emerging Technologies in Computing; 5th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2023 ICST Inst

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Prediction of?the?Arbutus Unedo Colonization Time via?an?Agent-Based Distribution Modelous species occurrence data. Nowadays, several species are facing climatic changes that impact the way species behave. Global warming has implicated species displacement from their natural habitat to new suitable places. SDMs can be used to anticipate possible impacts of the climatic changes in spec

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Stock Price Prediction Using Semi-supervised Ridge Regression prediction using machine learning approaches has become very polular in the past few years. Different scholars and researchers have studied and suggested different types of stock price prediction models, most of which was based on supervised learning. Semi-supervised based models in this regard are

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Accessibility of Multimedia Resources from Irish Universities for People with Epilepsysibility of videos before posting them on their websites or YouTube channel. In this research, the accessibility of video for PwE is explored. The study was conducted with 42 video clips posted by the top fourteen Irish universities ranked by Webometrics. For each university, three video clips were

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https://doi.org/10.1007/978-3-031-25161-0artificial intelligence; commerce; communication systems; computer hardware; computer networks; computer

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978-3-031-25160-3ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023

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Emerging Technologies in Computing978-3-031-25161-0Series ISSN 1867-8211 Series E-ISSN 1867-822X

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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engihttp://image.papertrans.cn/e/image/308443.jpg

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Dusan Krajcinovic,Aleksandar Stojimiroviccause commercial cloud environment platforms provide over several hundred types of computing resources of varied performance, it is difficult to determine which computing resources are appropriate for execution. In this study, we evaluate the correlation between task characteristics and task input d

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