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Showing result 1 - 5 of 177 essays matching the above criteria.

  1. 1. Comparison of drone ecology and behavior between Apis mellifera mellifera and the hybrid Buckfast in southwestern Sweden

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Finja Schaumann; [2023]
    Keywords : ;

    Abstract : Most research on the biology of the western honey bee (Apis mellifera) focuses on the worker bees, but knowledge about drones is lacking despite their important role in mating with a virgin queen. Available information about their ecology and behavior are mainly based on direct observations in need of intensive experience and knowledge about honey bees. READ MORE

  3. 2. Semi-automatic Segmentation & Alignment of Handwritten Historical Text Images with the use of Bayesian Optimisation

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Philip MacCormack; [2023]
    Keywords : handwritten text recognition; machine learning; bayesian optimisation; image analysis; segmentation; alignment;

    Abstract : To effortlessly digitise historical documents has risen to be of great interest for some time. Part of the digitisation is what is called annotating of the data. Such data annotations are obtained in a process called alignment which links words in an image to the transcript. READ MORE

  4. 3. Optimisation of warehouse for second-hand items using Machine Learning

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

    Author : Simon Osnes; [2023]
    Keywords : Second-hand; Machine Learning; Data Analysis; Feature Selection; Clustering; K-Means; Second-hand; Maskininlärning; Dataanalys; Urval av Attributer; Klustring; K-Means;

    Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE

  5. 4. Optimisation of the gas atomisation process used in aluminium powder production : To improve morphology by minimising satellite formations

    University essay from KTH/Materialvetenskap

    Author : Henrik Hedlin; Johan Nymo; [2023]
    Keywords : ;

    Abstract : There exists a lack of information and an exact understanding of the gas atomisation process resulting in the use of trial and error methods in the industry. The lack of information is the result of the difficulties in observing the actual process as it occurs, something that the use of computational fluid dynamics may be able to substitute. READ MORE

  6. 5. Machine Learning-Based Instruction Scheduling for a DSP Architecture Compiler : Instruction Scheduling using Deep Reinforcement Learning and Graph Convolutional Networks

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

    Author : Lucas Alava Peña; [2023]
    Keywords : Instruction Scheduling; Deep reinforcement Learning; Compilers; Graph Convolutional Networks; Schemaläggning av instruktioner; Deep Reinforcement Learning; kompilatorer; grafkonvolutionella nätverk;

    Abstract : Instruction Scheduling is a back-end compiler optimisation technique that can provide significant performance gains. It refers to ordering instructions in a particular order to reduce latency for processors with instruction-level parallelism. READ MORE