Essays about: "sorting machine"

Showing result 1 - 5 of 29 essays containing the words sorting machine.

1. 1. 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

3. 2. Learning Embeddings for Fashion Images

   University essay from Linköpings universitet/Datorseende

   Author : Simon Hermansson; [2023]
   Keywords : Computer Vision; Machine Learning; Image Retrieval; CLIP; Masked Autoencoders MAE ; Vision Transformers; Image Captioning; Price Prediction; AI for Fashion;

   Abstract : Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. READ MORE

4. 3. Robot arm with object detection for waste management

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Albin Gunnarsson; Dag Ehlin; [2023]
   Keywords : Mechatronics; Raspberry Pi; stepper motors; cylindrical robot arm; machine learning;

   Abstract : Recycling is becoming more crucial due to the fast pace of consumerism. This thesis explores how well a robot arm, with three degrees of freedom, can be implemented to give an autonomous recycling process. After the prototyping phase it was found that a cylindrical robot arm was best suited for the project. READ MORE

5. 4. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting

   University essay from KTH/Matematik (Avd.)

   Author : Daniel Barreira; [2023]
   Keywords : Machine Learning; Neural Network; CORAL-framework; Long-Tailed Data; Imbalance Metrics; Teacher-Student models; Curriculum Learning; Training Scheme; Maskininlärning; Neuralt Nätverk; CORAL-ramverk; Long-Tailed Data; Imbalance Metrics; Teacher-Student modeler; Curriculum Learning; Tränings- scheman;

   Abstract : In this paper, a study is conducted to investigate the use of Curriculum Learning as an approach to address accuracy issues in a neural network caused by training on a Long-Tailed dataset. The thesis problem is presented by a Swedish e-commerce company. READ MORE

6. 5. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets

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

   Author : Axel Pettersson; [2022]
   Keywords : Apache Spark; Point-in-Time; ASOF; Join; Optimizations; Time travel; Apache Spark; Point-in-Time; ASOF; Join; Optimeringar; Tidsresning;

   Abstract : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. READ MORE