• Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020 

      Setty, Vinay; Balog, Krisztian (Chapter, 2020)
      This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A particular question we are interested in answering is how well neural methods, and specifically transformer models, such as BERT, ...
    • Semantic Query Reasoning in Distributed Environment 

      Xiao, Yu (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      Semantic Web aims to elevate simple data in WWW to semantic layer, so that knowledge, processed by machine, can be shared more easily. Ontology is one of the key technologies to realize Semantic Web. Semantic reasoning is ...
    • Semantic technology for management of data recorded during therapy of cardiac arrest patients 

      Li, Xiaoxi (Masteroppgave/UIS-TN-IDE/2010;, Master thesis, 2010)
      The topic of this thesis is the integration of data recorded during cardiopulmonary resuscitation (CPR). In the process of CPR many important data should be recorded, such as: time of the cardiac arrest witnessed, number ...
    • Semi-Supervised Image Segmentation of Medical Data 

      Dalheim, Ove Nicolai (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020)
      Bladder cancer is the fourth most common cancer type in Norway, and tenth most common on a global scale. More and more tissue samples are sent to pathologists labs, increasing the workload and affecting the waiting time ...
    • Semi-supervised learning for classification of Nordic news articles 

      Fossåen, Nils Magne (Masteroppgave/UIS-TN-IDE/2020;, Master thesis, 2020-07-15)
      Semi-supervised learning defines the techniques that fall in between supervised and unsupervised learning. It is commonly used in classification settings where one has a lesser amount of labeled data compared to unlabeled. ...
    • Semi-supervised tissue segmentation of histological images 

      Wetteland, Rune; Dalheim, Ove Nicolai; Kvikstad, Vebjørn; Janssen, Emiel; Engan, Kjersti (Peer reviewed; Journal article, 2020-09)
      Supervised learning of convolutional neural networks (CNN) used for image classification and segmentation has produced state-of-the art results, including in many medical image applications. In the medical field, making ...
    • Sensor diagnostic HART overlay 4-20mA 

      Ochoa Hidalgo, Richard (Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2011)
      The purpose of this thesis is to provide a better understanding of the HART Communication Protocol; its capabilities to enhance communication with smart field devices and the functionalities that a monitoring and asset ...
    • Sensorsystem og estimering av høyde for sonderakett 

      Gjerver, Vetle; Lie, Mikal; Midttveit, Aiken (Bachelor thesis, 2023)
      Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ...
    • Sensorsystem og estimering av høyde for sonderakett 

      Gjerver, Vetle; Lie, Mikail; Midttveit, Aiken (Bachelor thesis, 2023)
      Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ...
    • Sensorsystem og estimering av høyde for sonderakett 

      Lie Mikal; Midttveit Aiken; Gjerver Vetle (Bachelor thesis, 2023)
      Denne oppgaven baserer seg på et tverrfaglig prosjekt, hvor elektronikk-, data- og maskiningeniørstudenter, har som mål å bygge en rakett. Formålet til raketten er hovedsakelig å nå en høyde på maksimalt 4000 meter, for ...
    • A service-oriented approach for developing adaptive distribution chain 

      Davidrajuh, Reggie (Journal article; Peer reviewed, 2007)
      This paper presents a service-oriented approach for development of adaptive distribution chain. The distribution chain presented in this paper achieves all the three objectives of an adaptive chain: Firstly, to achieve ...
    • Shifting Hinf Linear Parameter Varying State-Feedback Controllers Subject to Time-Varying Input Saturations 

      Ruíz, Adrián; Rotondo, Damiano; Morcego, Bernardo (Peer reviewed; Journal article, 2021)
      This paper establishes a methodology based on linear matrix inequalities (LMIs) to design a shifting Hinf linear parameter varying (LPV) state-feedback controller for systems affected by time-varying input saturations. By ...
    • Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis 

      Mehdipourpirbazari, Aida; Farmanbar, Mina; Chakravorty, Antorweep; Chunming, Rong (Peer reviewed; Journal article, 2020-04)
      Short-term load forecasting ensures the efficient operation of power systems besides affording continuous power supply for energy consumers. Smart meters that are capable of providing detailed information on buildings ...
    • SHPIA 2.0: An Easily Scalable, Low-Cost, Multi-purpose Smart Home Platform for Intelligent Applications 

      Demrozi, Florenc; Turetta, Cristian; Pravadelli, Graziano (Peer reviewed; Journal article, 2023-11)
      Sensors, electronic devices, and smart systems have invaded the market and our daily lives. As a result, their utility in smart home contexts to improve the quality of life, especially for the elderly and people with special ...
    • Signal Processing for Newborn Survival : from labour to resuscitation 

      Urdal, Jarle (PhD thesis UiS;, Doctoral thesis, 2020-08)
      Stillbirths are a worldwide challenge, with an estimated 2.6 million stillbirths in 2015, of these 1.3 million are estimated to have died during labour and birth, i.e. fresh stillbirth. In addition to the 2.6 million, one ...
    • Signal processing of EEG data and AI assisted classification of emotional responses based on visual stimuli 

      Gjerde, Martin (Master thesis, 2023)
      This report outlines the research conducted to explore on the topic of classification of human neurological data using machine learning models. The primary objective was to investigate alternative approaches for efficiently ...
    • Signal-noise analysis of PTA data from modern well surveillance system 

      Ambjørnrud, Even.; Magnus, Wersland. (Master thesis, 2022)
      In industries such as oil and gas, geothermal and carbon storage most wells are equipped with permanent downhole gauges(PDGs). These gauges are used to monitor the well pressure in real time. The pressure read- ings are ...
    • Signal-noise analysis of PTA data from modern well surveillance systems 

      Wersland, Magnus.; Ambjørnrud, Even. (Master thesis, 2022)
      In industries such as oil and gas, geothermal and carbon storage most wells are equipped with permanent downhole gauges(PDGs). These gauges are used to monitor the well pressure in real time. The pressure read- ings are ...
    • Sikker og stabil strømforsyning for rakettsystemer 

      Thorsen, Ruben Svanevik; Soltvedt, Kent Magne; Malo Dahle, Kristin (Bachelor thesis, 2023)
      Redudant strømforsyning for rakettsystemer
    • Sikker og stabil strømforsyning rakett 

      Soltvedt, Kent Magne; Thorsen Svanevik, Ruben; Malo Dahle, Kristin (Bachelor thesis, 2023)
      Redundant kraftforsyning til rakett