Sökning: "Artificial intelligence AI"

Visar resultat 11 - 15 av 105 avhandlingar innehållade orden Artificial intelligence AI.

  1. 11. On Transient Communication Outages among Collaborating Connected and Automated Vehicles

    Författare :Shahriar Hasan; Elisabeth Uhlemann; Svetlana Girs; Javier Manuel Gozalvez Sempere; Mälardalens universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; ACC; CACC; Communication Systems; Systems-of-systems; Fault tolerance; fail-operational; fail-safe; transient communication outages; platooning; connected and automated vehicles; V2V; V2X; emergency braking; collision avoidance; string stability; machine learning; artificial intelligence; ML AI; X-AI; communication delays; discrete-even simulations; SUMO; PLEXE; Veins; OMNeT ; PlatoonSAFE; Computer Science; datavetenskap;

    Sammanfattning : Recent advances in wireless technology facilitating Vehicle-to-Vehicle (V2V) communication have paved the way towards connected and more cooperative Intelligent Transportation Systems (ITSs), enhancing road safety and sustainability. Connected and Automated Vehicles (CAVs) can exchange information with one another and their surrounding infrastructure, thereby enabling cooperative automated maneuvering such as vehicle platooning. LÄS MER

  2. 12. Holistic Grasping: Affordances, Grasp Semantics, Task Constraints

    Författare :Martin Hjelm; Danica Kragic; Markus Vincze; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; robotics; robotic grasping; grasping; cognition; embodied cognition; computer vision; machine learning; artificial intelligence; AI; Gaussian process; Gaussian process latent variable model; GPLVM; 3D vision; point cloud features; robotik; manipulation; datorseende; maskininlärning; artificiell intelligens; kognition; Computer Science; Datalogi;

    Sammanfattning : Most of us perform grasping actions over a thousand times per day without giving it much consideration, be it from driving to drinking coffee. Learning robots the same ease when it comes to grasping has been a goal for the robotics research community for decades. LÄS MER

  3. 13. Creating market knowledge from big data: Artificial intelligence and human resources

    Författare :Jeannette Paschen; Esmail Salehi-Sangari; Stefanie Paluch; KTH; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Market knowledge; insights; big data; artificial intelligence; resource-based theory; resources; capabilities; machine learning; natural language processing; Marknadskunskap; insikter; big data; artificiell intelligens; resursbaserad teori; resurser; kapacitet; machine learning maskininlärning ; natural language processing naturlig språkbearbetning .; Industriell ekonomi och organisation; Industrial Economics and Management;

    Sammanfattning : The abundance of social media use and the rise of the Internet-of-Things (IoT) has given rise to big data which offer great potential for enhanced market knowledge for marketers. In the literature, market knowledge has been associated with positive marketing performance. LÄS MER

  4. 14. Breast cancer risk assessment and detection in mammograms with artificial intelligence

    Författare :Yue Liu; Kevin Smith; Hossein Azizpour; Fredrik Strand; Anders Eklund; KTH; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Mammography; AI; Breast cancer risk; Breast cancer detection; Mammografi; AI; Bröstcancerrisk; Upptäckt av bröstcancer; Datalogi; Computer Science;

    Sammanfattning : Breast cancer, the most common type of cancer among women worldwide, necessitates reliable early detection methods. Although mammography serves as a cost-effective screening technique, its limitations in sensitivity emphasize the need for more advanced detection approaches. LÄS MER

  5. 15. Artificial Intelligence-based Assessment of Prostate Cancer Metastases in PET/CT

    Författare :Sarah Lindgren Belal; Malmö Nuklearmedicin; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Artificial intelligence AI ; Convolutional neural networks CNN ; PET CT; Prostate cancer; Automated; Tumor burden; Bone metastases; Lymph node metastases;

    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