Blar i Scientific Publications in Information and Communication Technology på tittel
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Localization of multi-class on-road and aerial targets using mmwave FMCW radar
(Peer reviewed; Journal article, 2021) -
Localization-Free Power Cartography
(Chapter; Peer reviewed, 2018)Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using measurements of spatially distributed sensors. Applications of these maps include ... -
Locally optimal invariant detector for testing equality of two power spectral densities
(Journal article; Peer reviewed, 2018) -
Location-Aware Mobile Intrusion Detection with Enhanced Privacy in a 5G Context
(Journal article; Peer reviewed, 2010)The paper proposes a location-aware mobile Intrusion Prevention System (mIPS) architecture with enhanced privacy that is integrated in Managed Security Service (MSS). The solution is envisaged in a future fifth generation ... -
Location-Free Spectrum Cartography
(Journal article; Peer reviewed, 2019) -
LONG HORIZON ANOMALY PREDICTION IN MULTIVARIATE TIME SERIES WITH CAUSAL AUTOENCODERS
(Peer reviewed; Journal article, 2022) -
Low Resolution Thermal Imaging Dataset of Sign Language Digits
(Peer reviewed; Journal article, 2022) -
Low-complexity detection for uplink massive MIMO SCMA systems
(Journal article; Peer reviewed, 2020) -
Low-Power Wide-Area Networks for Sustainable IoT
(Peer reviewed; Journal article, 2019) -
Low-Power Wide-Area Networks: A Broad Overview of its Different Aspects
(Peer reviewed; Journal article, 2022)Low-power wide-area networks (LPWANs) are gaining popularity in the research community due to their low power consumption, low cost, and wide geographical coverage. LPWAN technologies complement and outperform short-range ... -
LTE-based passive radars and applications: a review
(Peer reviewed; Journal article, 2021) -
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation
(Peer reviewed; Journal article, 2022) -
A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition
(Peer reviewed; Journal article, 2019) -
A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency
(Peer reviewed; Journal article, 2019) -
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
(Peer reviewed; Journal article, 2022) -
A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks
(Peer reviewed; Journal article, 2022)Computational intelligence methods play an important role for supporting smart networks operations, optimization, and management. In wireless sensor networks (WSNs), increasing the number of nodes has a need for transferring ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
(Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ... -
Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems
(Peer reviewed; Journal article, 2022)Technology has turned into a significant differentiator in the money and traditional recordkeeping systems for the financial industry. To depict two customers as potential investors, it is mandatory to give the complex ... -
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
(Peer reviewed; Journal article, 2022)Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ... -
Managing Emerging Information Security Risks during Transitions to Integrated Operations
(Journal article; Peer reviewed, 2010)The Norwegian Oil and Gas Industry is adopting new information communication technology to connect its offshore platforms, onshore control centers and the suppliers. The management of the oil companies is generally aware ...