Sökning: "machine tools"

Visar resultat 1 - 5 av 341 avhandlingar innehållade orden machine tools.

  1. 1. Performance Evaluation of machine tools : A methodology for loaded testing of machine tools

    Författare :Theodoros Laspas; Andreas Archenti; Amir Rashid; Atsushi Matsubara; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine tool; loaded test; quasi-static stiffness; accuracy; stiffness measurement; Production Engineering; Industriell produktion;

    Sammanfattning : Machine tools comprise the basic elements of manufacturing. Evaluationof their performance and reliability are necessary for ensuring productquality. LÄS MER

  3. 2. Towards Next-Gen Machine Learning Asset Management Tools

    Författare :Samuel Idowu; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Experiment Management; Experiment management tools; Asset Management; Asset Management Tools; Tools; ML Asset Taxonomy;

    Sammanfattning : Context: The proficiency of machine learning (ML) systems in solving many real-world problems effectively has enabled a paradigm shift toward ML-enabled systems. In ML-enabled software, significant software code artifacts (i.e., assets) are replaced by ML-related assets, introducing multiple system development and production challenges. LÄS MER

  4. 3. Physics-based modelling and measurement of advanced manufacturing machinery’s positioning accuracy : Machine tools, industrial manipulators and their positioning accuracy

    Författare :Nikolas Alexander Theissen; Andreas Archenti; Edward P. Morse; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine tools; Industrial robots; Accuracy; Measurement instruments; Production Engineering; Industriell produktion;

    Sammanfattning : Advanced manufacturing machinery is a corner stone of essential industries of technologicallydeveloped societies. Their accuracy permits the production of complexproducts according to tight geometric dimensions and tolerances for high efficiency,interchangeability and sustainability. LÄS MER

  5. 4. Computational discovery of DNA methylation patterns as biomarkers of ageing, cancer, and mental disorders : Algorithms and Tools

    Författare :Behrooz Torabi Moghadam; Jan Komorowski; Manfred Grabherr; Jaak Vilo; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; DNA methylation; machine learning; biomarker; cancer; ageing; classification;

    Sammanfattning : Epigenetics refers to the mitotically heritable modifications in gene expression without a change in the genetic code. A combination of molecular, chemical and environmental factors constituting the epigenome is involved, together with the genome, in setting up the unique functionality of each cell type. LÄS MER

  7. 5. Voice for Decision Support in Healthcare Applied to Chronic Obstructive Pulmonary Disease Classification : A Machine Learning Approach

    Författare :Alper Idrisoglu; Johan Sanmartin Berglund; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Automated decision-support; Classification; Machine Learning; Voice-affecting disorders; Voice dataset; Voice Features; Chronic Obstructive pulmonary disease COPD ; Tillämpad hälsoteknik; Applied Health Technology;

    Sammanfattning : Background: Advancements in machine learning (ML) techniques and voice technology offer the potential to harness voice as a new tool for developing decision-support tools in healthcare for the benefit of both healthcare providers and patients. Motivated by technological breakthroughs and the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) in healthcare, numerous studies aim to investigate the diagnostic potential of ML algorithms in the context of voice-affecting disorders. LÄS MER