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Showing result 6 - 10 of 60 essays matching the above criteria.

  1. 6. Prediction of industrial machine failure by analysing anomalies

    University essay from Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

    Author : Md Abdur Rahman Akash; [2022]
    Keywords : ;

    Abstract : The sudden downtime and unplanned maintenance not only drastically increase the maintenance cost but also decreases the production capacity for the manufacturer industries. This is because the machines on these industries fail suddenly and totally stop the production as the machine should be fixed by maintenance before it can run again. READ MORE

  3. 7. A GP-Surrogate-Based Bayesian Framework for Surge Barrier Optimization

    University essay from KTH/Matematik (Avd.)

    Author : Abel Valko; [2022]
    Keywords : Bayesian Optimization; Gaussian Process Regression; Storm Surge; GeoClaw; GISSR;

    Abstract : Tropical cyclone induced storm surges are some of the largest environmental risks facing infrastructure and human life in dense urban environments. Hurricane Sandy caused 44 deaths and damage of 19 billion US dollars in New York City alone. READ MORE

  4. 8. Prediction of flue gas properties using artificial intelligence : Application of supervised machine learning by utilization of Near-Infrared Spectroscopy on solid biofuels

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Bashe Abdirahman Hussein; Emran Samimi; [2022]
    Keywords : Artificial Intelligence; Machine learning; Near-Infrared spectroscopy; Solid biofuels; Fuel element; Flue gas composition; CCS;

    Abstract : This degree project studies implementation and comparison of different AI models to predict (1) solid biofuel elements including carbon, hydrogen, nitrogen, and oxygen as well as moisture content, ash content, and higher heating value (HHV) of the fuel and (2) flue gas compositions such as concentration of carbon dioxide, carbon monoxide, nitrogen, nitrogen oxides, and water content using near-infrared spectroscopy and chemometric approaches. The study executes these predictions by simulating the operation of a combined heat and power plant (CHP) that is equipped with carbon capture and storage (CCS). READ MORE

  5. 9. Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds

    University essay from Lunds universitet/Matematik LTH

    Author : Seamus Doyle; Gustav Nilsson; [2022]
    Keywords : LiDAR; Semantic Segmentation; Neural Networks; RandLA-NET; 3D Point Cloud; Gaussian Process Regression; Robust Locally Weighted Regression; CARLA; Ground Model; Technology and Engineering;

    Abstract : This thesis studied methods of improving a background model for a data processing pipeline of LiDAR point clouds. For this, two main approaches were evaluated. The first was to implement and compare three different models for detecting ground in a point cloud. These were based on more classical modeling approaches. READ MORE

  6. 10. Active Learning for Solving Expensive Optimization Problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Siwei Fu; [2022]
    Keywords : ;

    Abstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE