Blar i Høgskolen i Molde på tidsskrift "Sensors"
Viser treff 1-8 av 8
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Deep Learning-Based Computer-Aided Diagnosis (CAD) : applications for medical image datasets
(Peer reviewed; Journal article, 2022)Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for diagnostic prediction over the years. This article focuses on the development of an automated CAD system with the intent to perform ... -
Deep learning-based defect prediction for mobile applications
(Peer reviewed; Journal article, 2022)Smartphones have enabled the widespread use of mobile applications. However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience. To avoid this, the defects ... -
Deployment optimization algorithms in wireless sensor networks for smart cities : a systematic mapping study
(Peer reviewed; Journal article, 2022)In recent years, different types of monitoring systems have been designed for various applications, in order to turn the urban environments into smart cities. Most of these systems consist of wireless sensor networks (WSN)s, ... -
Detecting malware by analyzing app permissions on Android platform : a systematic literature review
(Peer reviewed; Journal article, 2022)Smartphone adaptation in society has been progressing at a very high speed. Having the ability to run on a vast variety of devices, much of the user base possesses an Android phone. Its popularity and flexibility have ... -
Hybrid blockchain platforms for the Internet of Things (IoT) : a systematic literature review
(Peer reviewed; Journal article, 2022)In recent years, research into blockchain technology and the Internet of Things (IoT) has grown rapidly due to an increase in media coverage. Many different blockchain applications and platforms have been developed for ... -
IoT platform for seafood farmers and consumers
(Peer reviewed; Journal article, 2020)There has been a strong growth in aquatic products supported by the global seafood industry. Consumers demand information transparency to support informed decisions and to verify nutrition, food safety, and sustainable ... -
Machine learning-based software defect prediction for mobile applications : a systematic literature review
(Peer reviewed; Journal article, 2022)Software defect prediction studies aim to predict defect-prone components before the testing stage of the software development process. The main benefit of these prediction models is that more testing resources can be ... -
A novel framework using deep auto-encoders based linear model for data classification
(Peer reviewed; Journal article, 2020)This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm. All ...