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1. 1. Feature Selection for Microarray Data via Stochastic Approximation

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Erik Rosvall; [2024-03-18]
   Keywords : feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

   Abstract : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. READ MORE

3. 2. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

   University essay from KTH/Hälsoinformatik och logistik

   Author : Habib Jabeli; [2024]
   Keywords : Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

   Abstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE

4. 3. Development of ultra-sensitive immunoassay on Gyrolab microfluidic platform using Binding Oligo Ladder Detection : Enhancing Gyrolab biomarker assays using Exazym®

   University essay from Uppsala universitet/Institutionen för farmaci

   Author : Sam Vadi Dris; [2024]
   Keywords : Immnoassay; Gyrolab; TNF-alpha; Ultra-sensitive; Cavidi; Exazym; BOLD amplification; Amplification;

   Abstract : Immunoassays are widely used for detection of antigens in a wide range of applications including assays in pharmaceutical development. Immunoassays are continuously improved in many aspects including automatization, miniaturization and extending the dynamic range. READ MORE

5. 4. Visualization and analysis of object states using diffusion models and PyTorch

   University essay from Mälardalens universitet/Akademin för innovation, design och teknik

   Author : Christopher Nyberg; [2024]
   Keywords : ;

   Abstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE

6. 5. Analyzing the Impact of Tempo-changing Music for user Performance and Risk-taking Behavior in Video Games

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Adam Åkesson; [2024]
   Keywords : Performance; Risk-taking behavior; Tempo-changing music;

   Abstract :  Background. In real life humans have been proven to be affected in different ways by music. In sports, music can be shown to be useful for better performance. Taking this into thought while playing video games could help players perform better as well as in real life. READ MORE