Sökning: "less complex entities"

Visar resultat 1 - 5 av 17 uppsatser innehållade orden less complex entities.

1. 1. Integration of Attribute-Based Encryption and IoT: An IoT Security Architecture

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Ziyad Elbanna; [2023]
   Nyckelord :Internet of things; Attribute based encryption; Fine-grained access control; Key revocation; Proxy re-encryption;

   Sammanfattning : Services relying on internet of things (IoTs) are increasing day by day. IoT makes use of internet services like network connectivity and computing capability to transform everyday objects into smart things that can interact with users, and the environment to achieve a purpose they are designed for. LÄS MER

3. 2. Multi-scale Bark Beetle Predictions Using Machine Learning

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Albert Øhrman Wellendorf; [2023]
   Nyckelord :Geography; GIS; Geographically weighted regression; bark beetle; machine learning; Earth and Environmental Sciences;

   Sammanfattning : Bark beetle attacks have led to widespread tree disturbance and deaths in many parts of the world, and thereby also economic and biodiversity losses. Forest-rich Sweden has experienced periodic attacks, latest in 2018. LÄS MER

4. 3. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Röhss; [2022]
   Nyckelord :;

   Sammanfattning : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. LÄS MER

5. 4. An unsupervised method for Graph Representation Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yi Ren; [2022]
   Nyckelord :Graph Representation Learning; unsupervised learning; machine learning;

   Sammanfattning : Internet services, such as online shopping and chat apps, have been spreading significantly in recent years, generating substantial amounts of data. These data are precious for machine learning and consist of connections between different entities, such as users and items. LÄS MER

7. 5. Extracting Transaction Information from Financial Press Releases

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Agaton Sjöberg; [2021]
   Nyckelord :Natural Language Processing; Information Extraction; Named Entity Recognition; Relation Extraction; Latent Structure Refinement; Financial Press Release; Insider Transaction;

   Sammanfattning : The use cases of Information Extraction (IE) are more or less endless, often consisting of a combination of Named Entity Recognition (NER) and Relation Extraction (RE). One use case of IE is the extraction of transaction information from Norwegian insider transaction Press Releases (PRs), where a transaction consists of at most four entities: the name of the owner performing the transaction, the number of shares transferred, the transaction date, and the price of the shares bought or sold. LÄS MER