Essays about: "Paper machine settings"

Showing result 1 - 5 of 9 essays containing the words Paper machine settings.

1. 1. Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset

   University essay from Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

   Author : Juanli Hu; [2023]
   Keywords : copper price; Vector autoregressive model; XGBoost; Time series; Business and Economics;

   Abstract : Given the importance of copper prices to investors, governments, and policymakers, this paper investigates short-term price predictability using VAR and XGBoost models. All models are trained with historical data from November 2021 to December 2022 and using MSE, RMSE and MAE for evaluating the model performance. READ MORE

3. 2. 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

4. 3. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems

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

   Author : Guangze Shi; [2022]
   Keywords : Federated learning; Gradient share; Deep neural network; Information leak; Privacy and security; Maskininlärning med flera noder; Gradientdelning; Djupt neuralt nätverk; Informationsläcka; Integritetssäkerhet;

   Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE

5. 4. An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Maximilian Rafael Huber; [2021]
   Keywords : physical geography; ecosystem analysis; geomatics; GIS; UAV; structure-from-motion; machine learning; coastal monitoring; Earth and Environmental Sciences;

   Abstract : Anthropogenic pressure on coastal areas continues to increase, thus intensifying coastal erosion. Coastal monitoring programs are therefore essential to prevent severe ecosystem and economic consequences. Successful coastal monitoring schemes require highly accurate analysis-ready Digital surface models (DSMs) derived using the same workflow. READ MORE

6. 5. Important criteria when choosing a conversational AI platform for enterprises

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

   Author : Adam Lilja; Max Kihlborg; [2020]
   Keywords : Conversational Artificial Intelligence Conversational AI ; Chatbot; User Interface; User Experience; Machine Learning; Natural Language Processing; Artificial Intelligence; Evaluation; AI;

   Abstract : This paper evaluates and analyzes three conversational AI-platforms; Dialogflow (Google), Watson Assistant (IBM) and Teneo (Artificial Solutions) on how they perform based on a set of criteria; pricing model, ease-of-use, efficiency, experience working in the software and what results to expect from each platform. The main focus was to investigate the platforms in order to acquire an understanding of which platform would best be suited for enterprises. READ MORE