Essays about: "Digital Network Interaction Models"
Showing result 1 - 5 of 7 essays containing the words Digital Network Interaction Models.
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1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE
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2. The Effect of Interactive Selection on Personalized Drug Prediction Using Interactomes : Examination of Parameters Impacting Drug Treatment Rankings from Network Models for Covid-19 Patients
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Patients not responding to therapy as expected is one of the most pressing healthcare concerns of today. It causes economical, medical and societal issues along with suffering for patients. This project aimed to address this problem and evaluate how to find the best suited drug treatments for individual patients to treat Covid-19. READ MORE
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3. Blockchain technology, an enabling force: : Getting access to a new spectrum of international markets
University essay from Linnéuniversitetet/Institutionen för organisation och entreprenörskap (OE)Abstract : The impact that technology has on modern international business is comprehensive, it has, and is transforming the way that business and interaction are conducted across borders. Through development of new technologies arises opportunities to be exploited in the search for beneficial advantages. READ MORE
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4. Future Frame Prediction with Generative Adversarial Networks
University essay from Lunds universitet/Matematik LTHAbstract : This report is about using generative adversarial networks with predictive coding networks for future frame prediction. Model selection choices for the components of the network are explored by training different models and testing their performance on next frame prediction in digital video from driving scenarios. READ MORE
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5. Sitta vid växter : en möbelgrupp i trä som gynnar biologisk mångfald
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : I strävan efter den täta staden riskerar grönstrukturen att fragmenteras och minska. Detta kan leda till att den biologiska mångfalden hotas. Det kan särskilt försvåra för pollinerande insekter att hitta föda och boplatser. READ MORE