Sökning: "orakel"
Visar resultat 1 - 5 av 9 uppsatser innehållade ordet orakel.
1. Ritual Incubation in Graeco-Roman Egypt
Kandidat-uppsats, Uppsala universitet/Institutionen för arkeologi och antik historiaSammanfattning : This essay explores the divinatory practice of incubation in ancient Egypt during the Graeco-Roman period with a particular focus on the magical and religious significance of the practice. Two main sanctuaries, Abydos and Deir el-Bahari have been investigated with a focus on the gods Bes and Osiris in the former and Amenhotep and Imhotep in the latter. LÄS MER
2. Fundamental Attacks on Ethereum Oracles and How to Prevent Them
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many applications and protocols on blockchain platforms are reliant on real-world data which exists outside the blockchain, something which is not directly accessible through these platforms. To bridge this gap, blockchain oracles help these applications and protocols by providing them with this data. LÄS MER
3. Reception of Antiquity in18th century Opera : A Study of Divine Elements in the Story of Alcestis
Kandidat-uppsats, Uppsala universitet/Institutionen för arkeologi och antik historiaSammanfattning : The story of Alcestis is an interesting case of divine agency pervading the narrative and the characters in the play. It intimately concerns the mortal players, who, though largely powerless in the struggle, are central to the story. LÄS MER
4. Influence of Automatically Constructed Non-Equivalent Mutants on Predictions of Metamorphic Relations
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Behovet av tillförlitliga, motståndskraftiga, och beständiga system är uppenbart i vårt samhälle, som i ökande grad blir allt mer beroende av mjukvarulösningar. För att uppnå tillfredsställande nivåer av säkerhet och robusthet måste alla system kontinuerligt genomgå tester. LÄS MER
5. A study about Active Semi-Supervised Learning for Generative Models
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : In many relevant scenarios, there is an imbalance between abundant unlabeled data and scarce labeled data to train predictive models. Semi-Supervised Learning and Active Learning are two distinct approaches to deal with this issue. LÄS MER