Essays about: "risk management in data networks"

Showing result 21 - 25 of 44 essays containing the words risk management in data networks.

1. 21. Implementation of Federated Learning on Raspberry Pi Boards : Implementation of Federated Learning on Raspberry Pi Boards with Paillier Encryption

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Wenhao Wang; [2021]
   Keywords : Federated Learning; FedAvg; Raspberry Pi; Paillier algorithm.; FL; FedAvg; RPi; Paillier.;

   Abstract : The development of innovative applications of Artificial Intelligence (AI) is inseparable from the sharing of public data. However, as people strengthen their awareness of the protection of personal data privacy, it is more and more difficult to collect data from multiple data sources and there is also a risk of leakage in unified data management. READ MORE

3. 22. Flood Management in the Kamrangirchar Slum of Dhaka, Bangladesh

   University essay from Lunds universitet/Ekonomisk-historiska institutionen

   Author : Olivia Emelie Kjellgren; [2021]
   Keywords : Flooding; flood management; disaster management; disaster risk reduction; disaster recovery; disaster resilience; disaster preparedness; climate change; livelihood; vulnerability; adaptation; assets; economic insecurity; infrastructure; slum; sewerage networks; sanitation; housing; sustainable development; onion-peel approach; mixed method design; Social Sciences;

   Abstract : A study on the Kamrangirchar slum of Dhaka, Bangladesh has been completed by analyzing literature involving qualitative data, as well as quantitative data using a mixed method research design. The quantitative data from the World Bank (2020) and the UNDP (2020) is provided as background for the research. READ MORE

4. 23. Option Pricing using Artificial Neural Networks

   University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Author : Jan Müller; [2021]
   Keywords : Physics and Astronomy;

   Abstract : Neural networks have an increasingly important role in the financial market, by offering a solution to stationarity and non-linearity whilst also providing robustness and predictive power. Options and option pricing are a fundamental area of interest in the daily activities of investment banks, hedge funds and trading firms in the financial market. READ MORE

5. 24. Value at Risk Estimation with Neural Networks: A Recurrent Mixture Density Approach

   University essay from KTH/Matematik (Avd.)

   Author : William Karlsson Lille; Daniel Saphir; [2021]
   Keywords : Machine learning; Neural networks; LSTM; MDN; Mixture density; Value at Risk; VaR; Risk; Financial mathematics; Finance; Maskininlärning; Neurala nätverk; LSTM; MDN; Mixture Density; Value at Risk; VaR; Risk; Finansiell matematik; Finans;

   Abstract : In response to financial crises and opaque practices, governmental entities and financial regulatory bodies have implemented several pieces of legislature and directives meant to protect investors and increase transparency. Such regulations often impose strict liquidity requirements and robust estimations of the risk borne by a financial firm at any given time. READ MORE

6. 25. Deep Learning and the Heston Model:Calibration & Hedging

   University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

   Author : Oliver Klingberg Malmer; Victor Tisell; [2020-07-03]
   Keywords : deep learning; deep hedging; deep calibration; option pricing; stochastic volatilty; Heston model; S P 500 index options; incomplete markets; transaction costs;

   Abstract : The computational speedup of computers has been one of the de ning characteristics of the 21st century. This has enabled very complex numerical methods for solving existing problems. As a result, one area that has seen an extraordinary rise in popularity over the last decade is what is called deep learning. READ MORE