Σαμαράς, ΝικόλαςΒαζακίδης, ΔημήτριοςΔιπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2023.Approved for entry into archive by Κυριακή Μπαλτά (balta@uom.gr) on 2023-10-11T07:27:17Z (GMT) No. of bitstreams: 2 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) VazakidisDimitriosMsc2023.pdf: 2615254 bytes, checksum: 7ba9e26810bc8fd1c362675eed5274b4 (MD5)Made available in DSpace on 2023-10-11T07:27:17Z (GMT). No. of bitstreams: 2 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) VazakidisDimitriosMsc2023.pdf: 2615254 bytes, checksum: 7ba9e26810bc8fd1c362675eed5274b4 (MD5) Previous issue date: 2023-10-10The COVID-19 pandemic emerged in 2019 and has since evolved into a global crisis of paramount concern for governments and people worldwide. Its initial appearance marked the onset of significant disruptions, affecting both economies and daily lives. The repercussions have been profound, leading to the loss of lives and livelihoods, and even now, four years later, its impact continues to be felt. Comprehending the patterns and trends within the foundational data related to the pandemic holds immense importance. This knowledge is crucial for governments as they formulate policies and strategies to manage the crisis effectively. It is equally vital for individuals to stay informed and make informed decisions regarding their health and safety in these challenging times. The pandemic's enduring impact underscores the need for continued vigilance, research, and cooperation on a global scale to mitigate its effects and prevent similar crises in the future.Submitted by ΔΗΜΗΤΡΙΟΣ ΒΑΖΑΚΙΔΗΣ (aid20012@uom.edu.gr) on 2023-10-10T12:49:30Z No. of bitstreams: 2 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) VazakidisDimitriosMsc2023.pdf: 2615254 bytes, checksum: 7ba9e26810bc8fd1c362675eed5274b4 (MD5)http://dspace.lib.uom.gr/handle/2159/29489Πανεπιστήμιο ΜακεδονίαςCC0 1.0 Παγκόσμιαhttp://creativecommons.org/publicdomain/zero/1.0/Prediction of cases and transmission rate of covid-19 with machine learning techniquesElectronic Thesis or DissertationText2023Τεχνητή νοημοσύνηArtificial Intelligenceisi - Computer Science, Artificial Intelligence covers resources that focus on research and techniques to create machines that attempt to efficiently reason, problem-solve, use knowledge representation, and perform analysis of contradictory or ambiguous information. This category includes resources on artificial intelligence technologies such as expert systems, fuzzy systems, natural language processing, speech recognition, pattern recognition, computer vision, decision-support systems, knowledge bases, and neural networks.Μεταπτυχιακή εργασίαMaster thesisΠανεπιστήμιο ΜακεδονίαςGreek Aggregator OpenArchives.gr | National Documentation Centre (EKT)