Essays about: "support metrics"
Showing result 11 - 15 of 215 essays containing the words support metrics.
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11. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups
University essay from Lunds universitet/Miljö- och energisystemAbstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE
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12. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. READ MORE
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13. Plant yield prediction in indoor farming using machine learning
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Agricultural industry has started to rely more on data driven approaches to improve productivity and utilize their resources effectively. This thesis project was carried out in collaboration with Ljusgårda AB, it explores plant yield prediction using machine learning models and hyperparameter tweaking. READ MORE
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14. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. READ MORE
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15. Predicting Risk Level in Life Insurance Application : Comparing Accuracy of Logistic Regression, DecisionTree, Random Forest and Linear Support VectorClassifiers
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE