Essays about: "complexity of measures"

Showing result 11 - 15 of 202 essays containing the words complexity of measures.

1. 11. Applicability of neuromorphic hardware in disease spread simulations : A comparison of a SpiNNaker board and a GPU

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

   Author : Adam Ekelöf; Eric Sandberg; [2023]
   Keywords : ;

   Abstract : This research paper investigates whether neuromorphic hardware can outperform the traditional GPU in simulating disease spread. As the era of Moore’s Law draws to a close, researchers are seeking alternative solutions to enhance computational power. READ MORE

3. 12. Sustainable Practices within the Real Estate sector : An analysis investigating the impact of sustainability practices within Real Estate companies in Sweden

   University essay from KTH/Fastighetsföretagande och finansiella system

   Author : Sanna Backenroth; Nicol Magnusson; [2023]
   Keywords : Sustainable investment; ESG; energy certification; property valuation; Hållbara investeringar; ESG; miljöcertifiering; fastighetsvärdering; fastighetsmarknaden;

   Abstract : The awareness of ESG (environmental, governance, social) has risen significantly during the last decade. The construction and real estate industry represents 21 % of the negative climate emissions in Sweden, highlighting the crucial role of property owners in achieving a climate-neutral society. READ MORE

4. 13. Unravelling the Tensions; Impact of the Common Foreign and Security Policy of the EU on Fundamental Rights and the Intricacy of Freedom of Movement

   University essay from Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakulteten

   Author : Hafeizh Astian; [2023]
   Keywords : Common Foreign and Security Policy; CFSP; Restrictive Measures; Sanctions; EU Law; Law and Political Science;

   Abstract : The CFSP has become a focal point of legal and political analysis, particularly concerning its impact on fundamental rights and the free movement of capital. Departing from that situation, the thesis attempts to delve into the complex question as its research question to find out how the EU balance its collective interests in pursuing sanctions with national sovereignty, the fundamental rights of individuals affected by the CFSP measures and what is the CJEU role in the effort to strike a balance between those elements? The analysis of the thesis begins by exploring the legal basis and evolution of CFSP, followed by an assessment by the EU CFR and its interplay with the CFSP measures. READ MORE

5. 14. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Atena Nazem; [2023]
   Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

   Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

6. 15. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests

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

   Author : Amanda Strömdahl; [2023]
   Keywords : Supervised Learning; Failure Diagnosis; Clustered Log Data; Random Forest; SVM; MLP; Övervakad inlärning; feldiagnos; klustrad logg-data; Random Forest; SVM; MLP;

   Abstract : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. READ MORE