Sökning: "CNN"
Visar resultat 6 - 10 av 42 avhandlingar innehållade ordet CNN.
6. Automated Gravel Road Condition Assessment : A Case Study of Assessing Loose Gravel using Audio Data
Sammanfattning : Gravel roads connect sparse populations and provide highways for agriculture and the transport of forest goods. Gravel roads are an economical choice where traffic volume is low. In Sweden, 21% of all public roads are state-owned gravel roads, covering over 20,200 km. LÄS MER
7. Artificial Intelligence-based Assessment of Prostate Cancer Metastases in PET/CT
Sammanfattning : Background: Quantification of tumor burden from bone scan in the form of automated Bone Scan Index (aBSI) has been validated as an imaging biomarker for patients with prostate cancer. Positron emission tomography combined with computed tomography (PET/CT) is more sensitive and accurate compared to conventional imaging such as bone scan. LÄS MER
8. Regulation of fibroblast activity by keratinocytes, TGF-β and IL-1α : studies in two- and three dimensional in vitro models
Sammanfattning : Dysregulated wound healing is commonly associated with excessive fibrosis. Connective tissue growth factor (CTGF/CCN2) is characteristically overexpressed in fibrotic diseases and stimulated by transforming growth factor-β (TGF-β) in dermal fibroblasts. Reepithelialisation and epidermal wound coverage counteract excessive scar formation. LÄS MER
9. DeepMaker : Customizing the Architecture of Convolutional Neural Networks for Resource-Constrained Platforms
Sammanfattning : Convolutional Neural Networks (CNNs) suffer from energy-hungry implementation due to requiring huge amounts of computations and significant memory consumption. This problem will be more highlighted by the proliferation of CNNs on resource-constrained platforms in, e.g., embedded systems. LÄS MER
10. Enhancing Machine Failure Detection with Artificial Intelligence and sound Analysis
Sammanfattning : The detection of damage or abnormal behavior in machines is critical in industry, as it allows faulty components to be detected and repaired as early as possible, reducing downtime and minimizing operating and personnel costs. However, manual detection of machine fault sounds is economically inefficient and labor-intensive. LÄS MER