Essays about: "Standard ML"

Showing result 11 - 15 of 66 essays containing the words Standard ML.

  1. 11. An Empirical Study on AI Workflow Automation for Positioning

    University essay from Linköpings universitet/Programvara och system

    Author : Hannes Jämtner; Stefan Brynielsson; [2022]
    Keywords : MLOps; ML; AI; Machine Learning; Artificial Intelligence; Radio Antenna Positioning; MLOps Maturity Levels; Radio Access Network; RAN; Kubeflow; KServe; DVC; Data Version Control; MinIO; Kubernetes; Kind; Docker;

    Abstract : The maturing capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have resulted in increased attention in research and development on adopting AI and ML in 5G and future networks. With the increased maturity, the usage of AI/ML models in production is becoming more widespread, and maintaining these systems is more complex and likely to incur technical debt when compared to standard software. READ MORE

  3. 12. Offline Reinforcement Learning for Optimization of Therapy Towards a Clinical Endpoint

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Simon Jenner; [2022]
    Keywords : Offline; Reinforcement learning; Double Deep Q-Network; Cognitive behavior therapy; Digital therapeutics; Optimization; Förstärkningsinlärning; Dubbelt djupt Q-nätverk; Kognitiv beteendeterapi; Digital terapeutika; Optimering;

    Abstract : The improvement of data acquisition and computer heavy methods in recentyears has paved the way for completely digital healthcare solutions. Digitaltherapeutics (DTx) are such solutions and are often provided as mobileapplications that must undergo clinical trials. READ MORE

  4. 13. Genome-wide association studies using machine learning

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Mohammad Mshaleh; [2022]
    Keywords : ;

    Abstract : Genom-Wide Association Study (GWAS) is a field that studies the genomics of organisms. GWAS focuses on what is called single nucleotide polymorphisms (SNP). In GWAS,the data of the SNPs is usually massive, which requires modern statistical analysis methods to investigate the relationship between those SNPs and a phenotype. READ MORE

  5. 14. Development and validation of sample clean-up using solid phase extraction prior oil spill fingerprinting

    University essay from Linköpings universitet/Institutionen för fysik, kemi och biologi

    Author : Cheryl Loorents; [2022]
    Keywords : Oil spill; chemical fingerprint; solid phase extraction SPE ; development; validation.;

    Abstract : In a forensic investigation involving oil, a comparative analysis named oil spill fingerprinting between a source and an oil spill is normally performed. It is based on detecting a certain selection of biomarkers with gas chromatography (GC) coupled to mass spectrometry (MS) which are later divided into diagnostic ratios (DRs). READ MORE

  6. 15. Deep learning for nanofluidic scattering microscopy

    University essay from

    Author : Gustaf Sjösten; [2021-06-09T11:22:05Z 2021-06-09T11:22:05Z 2021 2020]
    Keywords : data analysis; machine learning; deep convolutional neural networks; nanofluidic scattering spectroscopy; biomolecules; physical chemistry; dark-field microscopy;

    Abstract : A novel technique for label-free, real-time characterization of single biomolecules called Nanofluidic Scatter Microscopy (NSM) has recently been developed by a the Langhammer research group at Chalmers. We have created a machine learning (ML) framework consisting of deep convolutional neural networks such as U-nets, FCNNs, and YOLO in order to characterize single biomolecules through kymographs collected through NSM, as an alternative approach to a standard data analysis method (SA). READ MORE