Essays about: "State Prediction"

Showing result 1 - 5 of 313 essays containing the words State Prediction.

  1. 1. 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

  3. 2. Predicting Lithium-Ion Battery State of Health using Linear Regression

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Niklas Sundberg; [2024]
    Keywords : Lithium-Ion; Multiple Linear Regression; State of Health; Voltage Deviation;

    Abstract : Knowledge of battery health is very important. It provides insight into the capacity of a given system and allows the operators to plan ahead more efficiently. But measuring state of health (SoH) of a battery is difficult, and takes time. More importantly, the battery needs to be taken out of operation to be analysed correctly. READ MORE

  4. 3. Machine learning for molecular property prediction and drug safety

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

    Author : Kinga Jenei; [2023-10-23]
    Keywords : Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Abstract : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. READ MORE

  5. 4. Machine Learning model applied to Reactor Dynamics

    University essay from KTH/Fysik

    Author : Dionysios Dimitrios Nikitopoulos; [2023]
    Keywords : Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Abstract : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. READ MORE

  6. 5. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    University essay from KTH/Matematisk statistik

    Author : Max Aronsson; Anna Folkesson; [2023]
    Keywords : Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Abstract : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. READ MORE