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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, ... -
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques
(Peer reviewed; Journal article, 2023)In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ... -
Classifying Lithofacies from Textural Features in Whole Core CT-Scan Images
(Peer reviewed; Journal article, 2021)X-ray computerized tomography (CT) is a nondestructive method of providing information about the internal composition and structure of whole core reservoir samples. In this study we propose a method to classify lithology. ... -
Classroom strategies in teaching the media
(Peer reviewed; Journal article, 2015)Th is article is based on Chapter 5 of my book Media and Digital Literacies in Secondary School (2013). The chapter has been shortened and rewritten in some parts for the article. The article focuses on different classroom ... -
Claustrophilia and Exalted Imagination: Fictional Responses to a Pascalian Problem in the Works of Xavier de Maistre and Jan Potocki
(Journal article; Peer reviewed, 2016)This article explores the topics of confinement and claustrophilia in Xavier de Maistre’s Voyage autour de ma chambre (1795) and Expédition nocturne autour de ma chambre (1825), and in Jan Potocki’s Manuscrit trouvé à ... -
Clavis: An open and versatile identification key format
(Journal article; Peer reviewed, 2022) -
Clay alignment in electric fields
(Journal article; Peer reviewed, 2012)The response of rotational alignment of lithium fluorohectorite (Li-Fh) to an external electric field has been studied by employing image analysis. Large aggregates consisting of many single clay particles were prepared ... -
Clays as SCM – Reactivity of Uncalcined Kaolinite and Bentonite, and Impact on Phase Assemblage and Strength Development of PC Mortars
(Journal article; Peer reviewed, 2019)The impact of substitution of cement paste with uncalcined clay (bentonite and kaolinite) in the range of 5% by volume of paste on the development of hydration and properties of mortar was investigated. Two issues were ...