Titlebook: Service-Oriented Computing – ICSOC 2021 Workshops; AIOps, STRAPS, AI-PA Hakim Hacid,Monther Aldwairi,Hai Dong Conference proceedings 2022 S

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Little Help Makes a Big Difference: Leveraging Active Learning to Improve Unsupervised Time Series A (both false and true ones) and label the corresponding KPIs with reasonable effort. Specifically, we develop three query strategies to select the most informative and representative samples to label. We also develop an efficient method to update the weights of Isolation Forest and optimally adjust

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IAD: Indirect Anomalous VMMs Detection in the Cloud-Based Environment comprising the synthetic and real and compared against four other popular algorithms, which can also be used to the described problem. It was found that the proposed . algorithm has an average F1-score of 83.7% averaged across four datasets, and also outperforms other algorithms by an average F1-sc

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Oluwafeyisayo Oyeniyi,Shreyansh Sandip Dhandhukia,Amartya Sen,Kenneth K. Fletcherd, whereas there is often little demonstrable adverse effect in the typically more elderly population that one sees undergoing urinary reconstruction following cystectomy for malignant disease. In this chapter, we will concentrate on the advantages and disadvantages of using various segments of bowe

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Tord Kvifte,Mehdi Elahi,Christoph Trattneretabolic consequences of the incorporation of bowel into the urinary tract, preservation of renal function, and quality of life issues. The information provided may not only be instrumental to urologists, but also to specialized health care professionals, as well as the concerned patients.978-3-319-12381-3978-3-319-12382-0

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