Sökning: "ML AI"

Visar resultat 1 - 5 av 32 avhandlingar innehållade orden ML AI.

1. 1. Clinical investigation and application of Artificial Intelligence in diagnosis and prognosis of squamous cell carcinoma of the head and neck

   Författare :Amir M. Salehi; Karin Nylander; Lena Norberg-Spaak; Wojciech Golusinski; Umeå universitet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SCCHN; SCCOT; Recurrence; ML; PET CT; mRNA; transcriptomic; proteomic; Diabetes; AI; Oto-Rhino-Laryngology; oto-rhino-laryngologi;

   Sammanfattning : Background: In Sweden around 1400 people are affected by head and neck cancer each year, and around 400 of these tumours are located in the mobile tongue (SCCOT). A major problem with these tumours is the high degree of relapse. LÄS MER

3. 2. Machine learning for building energy system analysis

   Författare :Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

   Sammanfattning : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. LÄS MER

4. 3. Visual Analytics for Explainable and Trustworthy Machine Learning

   Författare :Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

   Sammanfattning : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. LÄS MER

5. 4. Towards Quality of Experience for Industrial Internet of Things

   Författare :Dimitar Minovski; Christer Åhlund; Fiedler Markus; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; QoE; IoT; AI; ML; Pervasive Mobile Computing; Distribuerade datorsystem;

   Sammanfattning : Today’s research on Quality of Experience (QoE) mainly addresses multimedia services, where the end-users' subjective perception is the prime factor of determining the QoE. With the introduction of the Internet of Things (IoT), there is a need for new ways of evaluating the QoE. LÄS MER

7. 5. 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