Sökning: "Decision Support Models"

Visar resultat 1 - 5 av 272 uppsatser innehållade orden Decision Support Models.

1. 1. Android Malware Detection Using Machine Learning

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Rahul Sai Kesani; [2024]
   Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

   Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

4. 3. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Mauro Campus; [2023-07-19]
   Nyckelord :Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

   Sammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER

5. 4. From Tree Huggers to Money Makers: How ESG Scores Boost Corporate Financial Performance in the EU

   Kandidat-uppsats,

   Författare :Martin Ekendahl; Philippa Hedström; [2023-06-29]
   Nyckelord :ESG score; financial performance; stakeholder theory; the EU; fixed effects model;

   Sammanfattning : This thesis examines the relationship between Environmental, Social, and Governance (ESG) scores and financial performance as measured by both accounting- and market-based measures; Return on Assets and Tobin's Q. The study takes a particular focus on the European Union (EU), more specifically on companies operating in the region and the union's strong commitment to achieving the Sustainable Development Goals (SDGs) and more general efforts towards a more sustainable future. LÄS MER

7. 5. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Veronica Kecki; [2023-02-01]
   Nyckelord :AI; artificial intelligence; ML; machine learning; algorithms; algorithmic decision-making; fairness; socio-technical design; AI ethics;

   Sammanfattning : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. LÄS MER