Sökning: "Algorithm comparison"

Visar resultat 16 - 20 av 677 uppsatser innehållade orden Algorithm comparison.

1. 16. Optimization of Path and Trajectory for Underground Mining Machines

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Farid Marouki; [2023]
   Nyckelord :;

   Sammanfattning : Underground mining machines play a critical role in the mining industry, enablingexcavation of valuable minerals from subterranean deposits. The efficiency of mining op-erations relies heavily on the effectiveness of these machines. LÄS MER

3. 17. Novel Method of ASIC interface IP development using HLS

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Anestis Athanasiadis; Chandranshu Mishra; [2023]
   Nyckelord :High Level Synthesis; HLS; Untimed C ; Control logic; I3C; clock-accurate design; IP development; Technology and Engineering;

   Sammanfattning : High-Level Synthesis(HLS) is a design methodology that enables designers to implement hardware from high-level coding languages, such as C, C++, or System C. It provides designers with the ability to convey their design at a higher level of abstraction, which allows more emphasis on an algorithm and functional aspects of design instead on low-level hardware details. LÄS MER

4. 18. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Sharif Noor Zisad; [2023]
   Nyckelord :Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

   Sammanfattning : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. LÄS MER

5. 19. Comparative Study of the Inference of an Image Quality Assessment Algorithm : Inference Benchmarking of an Image Quality Assessment Algorithm hosted on Cloud Architectures

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

   Författare :Jesper Petersson; [2023]
   Nyckelord :Machine learning; Cloud Computing; Benchmark; Image Quality Assessment; Maskininlärning; Molntjänster; Jämförelse; Bildkvalitetsbedömning;

   Sammanfattning : an instance has become exceedingly more time and resource consuming. To solve this issue, cloud computing is being used to train and serve the models. However, there’s a gap in research where these cloud computing platforms have been evaluated for these tasks. LÄS MER

7. 20. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Pulagam Karthik Reddy; Sutapalli Veerababu; [2023]
   Nyckelord :Decision Tree Classifier; Logistic Regression; Machine Learning; Random Forest Classifier; Linear Support Vector Classifier;

   Sammanfattning : Background: Over the last decade, there has been a significant rise in the life insurance industry. Every life insurance application is associated with some level ofrisk, which determines the premium they charge. The process of evaluating this levelof risk for a life insurance application is time-consuming. LÄS MER