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Titlebook: ICT for Intelligent Systems; Proceedings of ICTIS Jyoti Choudrie,Eva Tuba,Amit Joshi Conference proceedings 2024 The Editor(s) (if applicab

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978-981-97-5812-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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ICT for Intelligent Systems978-981-97-5810-4Series ISSN 2190-3018 Series E-ISSN 2190-3026
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Exponential Smoothing Model Using Statistical Software to Forecast Peritoneal Dialysis Sessions,uses to optimize the model; however, the residual analysis presented favorable values in relation to the model fit. The applied forecasting model presented very favorable general results, which, under the support of Minitab software, did not present any difficulty in execution.
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,Artificial Intelligence in Lung Cancer Diagnosis: “SYNERGY-NET” in Campania FESR-POR (European Fundistology, size, stage), type of operation, post-operative complications, and clinical follow-up. Subsequently, radiological images of patients with lung injury were analyzed. The Region of Interest of the lesion (ROI) was analyzed in order to provide artificial intelligence (CNNs) with information f
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