Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 5394-5413 of 37304
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The classification and reutilisation of recycled asphalt pavement binder: Norwegian case study
(Peer reviewed; Journal article, 2022)With increased demand of asphalt pavement and limited binder and aggregate supply, the reutilisation of Recycled Asphalt Pavement (RAP) has gained more attention in pavement engineering from the environmental, sustainable, ... -
Classification in hyperspectral images by independent component analysis, segmented cross-validation and uncertainty estimates
(Journal article; Peer reviewed, 2018)Independent component analysis combined with various strategies for cross-validation, uncertainty estimates by jack-knifing and critical Hotelling’s T2 limits estimation, proposed in this paper, is used for classification ... -
Classification of Common Food Lipid Sources Regarding Healthiness Using Advanced Lipidomics: A Four-Arm Crossover Study
(Journal article; Peer reviewed, 2023) -
Classification of Drilled Lithology in Real-Time Using Deep Learning with Online Calibration
(Peer reviewed; Journal article, 2021)Decision making to optimize the drilling operation is based on a variety of factors, among them real-time interpretation of drilled lithology. Because logging while drilling (LWD) tools are placed some meters above the ... -
Classification of Failures in the Perception of Conversational Agents (CAs) and Their Implications on Patient Safety
(Peer reviewed; Journal article, 2021)The use of Conversational agents (CAs) in healthcare is an emerging field. These CAs seem to be effective in accomplishing administrative tasks, e.g. providing locations of care facilities and scheduling appointments. ... -
Classification of Fingerprints Captured Using Optical Coherence Tomography
(Chapter, 2017)We propose a technique for analysis of fingerprints scanned free-air (not pressed against a glass) with Optical Coherence Tomography (OCT). Fingerprints from the surface and subdermal parts of the finger are extracted from ... -
Classification of flotation frothers
(Journal article; Peer reviewed, 2018)In this paper, a scheme of flotation frothers classification is presented. The scheme first indicates the physical system in which a frother is present and four of them i.e., pure state, aqueous solution, aqueous solution/gas ... -
Classification of forensic hyperspectral paper data using hybrid spectral similarity algorithms
(Peer reviewed; Journal article, 2022)Document forgeries that involve modification of the materials used, such as ink and paper, provide evidence of any malpractices being performed. Forensic specialists use different techniques to identify and classify these ... -
Classification of hydropeaking impacts on Atlantic salmon populations in regulated rivers
(Peer reviewed; Journal article, 2021)This article proposes and demonstrates a new classification system of fish population level effects of hydropeaking operations in rivers. The classification of impacts is developed along two axes; first, the hydromorphological ... -
Classification of Individual Finger Movements from Right Hand Using fNIRS Signal
(Peer reviewed; Journal article, 2021)Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ... -
Classification of Kidney Tumor Grading on Preoperative Computed Tomography Scans
(Chapter, 2023)Deep learning (DL) has proven itself as a powerful tool to capture patterns that human eyes may not be able to perceive when looking at high-dimensional data such as radiological data (volumetric data). For example, the ... -
Classification of kneeling and squatting in workers wearing protective equipment: development and validation of a rule-based model using wireless triaxial accelerometers
(Peer reviewed; Journal article, 2022)Several professions in industries, such as petroleum, manufacturing, construction, mining, and forestry require prolonged work tasks in awkward postures, increasing workers’ risks for musculoskeletal pain and injury. ... -
Classification of long sequential data using circular dilated convolutional neural networks
(Peer reviewed; Journal article, 2023)Classification of long sequential data is an important Machine Learning task and appears in many application scenarios. Recurrent Neural Networks, Transformers, and Convolutional Neural Networks are three major techniques ... -
Classification of low-density EEG-based epileptic seizures by energy and fractal features based on EMD
(Journal article, 2019)We are here to present a new method for the classification of epileptic seizures from electroencephalogram (EEG) signals. It consists of applying empirical mode decomposition (EMD) to extract the most relevant intrinsic ... -
Classification of Methamorphic Malware with Deep Learning (LSTM)
(IEEE Conference Publication;, Chapter, 2019)Nowadays, anti-virus applications using traditional signature-based detection methods fail to detect metamorphic malware. For this reason, recent studies on the detection and classification of malicious software address ... -
Classification of movement quality in a weight-shifting exercise
(Journal article; Peer reviewed, 2018)In exercise games, it is often possible to gain rewards, i.e. points, by only partly completing an intended movement, which can undermine the effect of using such games for exercise. To ensure usability and reliability of ... -
Classification of municipal solid waste using deep convolutional neural network model applied to multispectral images
(Peer reviewed; Journal article, 2021)Minimization of the environmental impact of the incineration process and to produce energy efficiently are the most important considerations in obtaining efficient operation of waste-to-energy (WtE) plants. WtE operation ... -
Classification of risk to support decision-making in hazardous processes
(Journal article, 2015)Application of risk assessments developed for the design phase to support decision-making in operational settings has exposed weaknesses in how risk is analysed and expressed in an operational context. The purpose of this ... -
Classification with Extreme Learning Machine and ensemble algorithms over randomly partitioned data
(Chapter, 2015)In this age of Big Data, machine learning based data mining methods are extensively used to inspect large scale data sets. Deriving applicable predictive modeling from these type of data sets is a challenging obstacle ... -
Classifying condition of ultra-high-molecular-weight polyethylene ropes with wide-angle X-ray scattering
(Peer reviewed; Journal article, 2022)Ropes of ultra-high-molecular-weight polyethylene (UHMWPE) are replacing steel wires in many applications and nondestructive testing to monitor their condition is of scientific and commercial interest. In this work, ...