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Neural Networks for Entity Matching: A Survey
(Peer reviewed; Journal article, 2021)Entity matching is the problem of identifying which records refer to the same real-world entity. It has been actively researched for decades, and a variety of different approaches have been developed. Even today, it remains ... -
Neural networks for sentiment analysis in AsterixDB
(Master thesis, 2018)As data is generated at an ever increasing rate, and social media are getting larger and more comprehensive than ever, the availability of these data and the possibility to analyze them, is growing as well. The capability ... -
Neural Ordinary Differential Equations for Forecasting in the Energy Sector
(Master thesis, 2019)Nevrale Ordinære Differentiallikninger (NODE) [Chen et al., 2018] er en ny familie av nevrale nettverk som eksplisitt modellerer nettverkets skjulte tilstand som et dynamisk system, og løser dette systemet ved å bruke en ... -
A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality
(Peer reviewed; Journal article, 2020)Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ... -
Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro
(Peer reviewed; Journal article, 2022)Cascading activity is commonly observed in complex dynamical systems, including networks of biological neurons, and how these cascades spread through the system is reliant on how the elements of the system are connected ... -
A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis
(Peer reviewed; Journal article, 2022)With the rapid development of sensors and mechanical systems, we produce an exponentially large amount of data daily. Usually, faults are prevalent in these sensory systems due to harsh operational conditions. Thus, detecting ... -
New Approaches for Representation and Segmentation of Organs in CT and MR Scans
(Doktoravhandlinger ved NTNU, 1503-8181; 2009:79, Doctoral thesis, 2009)Analysis of medical images is resource demanding and time-consuming, and automatic procedures are needed to reduce the workload of medical staff in a pre-operative planning phase. In this thesis, the main focus has been ... -
A New Belief-based Incomplete Pattern Unsupervised Classification Method
(Peer reviewed; Journal article, 2021)The clustering of incomplete patterns is a very challenging task because the estimations may negatively affect the distribution of real centers and thus cause uncertainty and imprecision in the results. To address this ... -
A new decision making model based on Rank Centrality for GDM with fuzzy preference relations
(Peer reviewed; Journal article, 2021)Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ... -
New gamut boundary target for defining the colour gamut of a printing system
(Journal article; Peer reviewed, 2018)A new test target for defining the gamut boundary of a printing device is described, which results in a list of vertices on the boundary and the set of triangular faces that connect them. When used in conjunction with an ... -
New Insights into Content Production in Social Platforms
(Doctoral theses at NTNU;2018:173, Doctoral thesis, 2018)Social media influences to a great extent everyday life of millions of people, and therefore the understanding of certain patterns relating to online platforms and communities, and the ability to model and predict them, ... -
New opportunities for institutional analysis in public administration research
(Peer reviewed; Journal article, 2021)This Symposium features research that engages an institutional analysis approach, called the Institutional Grammar. Institutional analysis is the study of rules, norms, and strategies (e.g., public policies, organizational ... -
New visual programming approaches for robots
(Master thesis, 2022)Programmering av roboter er et komplekst problemområde som krever avanserte programmeringsferdigheter. Visuelle programmeringsspråk ønsker å senke den syntaktiske kompleksiteten til programmeringsspråk og senke terskelen ... -
Nexstep-integrasjon
(Bachelor thesis, 2010)Oppgaven går ut på å lage en applikasjon hvor de ansatte hos ASP kan registerere sine arbeidstimer fortløpende, enkelt og hurtig. Det skal være en integrasjon mot nåværende ordresystem, slik at hele faktureringsprosessen ... -
Next generation geophysical sensing: exploring a new wave of geophysical technologies for the energy transition
(Peer reviewed; Journal article, 2021) -
Next Generation Phenotyping: AI assisted selective Breeding of a Less Aggressive European Lobster
(Master thesis, 2023)Den europeiske hummeren er svært ettertraktet over hele Europa og ansett som en kulinarisk delikatesse. Dessverre, med synkende bestander og nesten ingen kommersiell produksjon, forblir etterspørselen uoppfylt. Det har ... -
Next generation privacy policy
(Master thesis, 2011)Privacy policies are commonly used by service providers to notify users what information is collected, how it will be used and with whom it will be shared. These policies are however known to be notoriously long and hard ... -
Next Generation Visualization and Interaction Tool in Petroleum Drilling
(Master thesis, 2010)Intelligent Drilling is a response to todays complex petroleum drilling operations. The strategy entails more automation, changed work procedures and roles, improved measurement and control data and more integrated and ... -
NIT_Agartala_NLP_Team at SemEval-2019 Task 6: An Ensemble Approach to Identifying and Categorizing Offensive Language in Twitter Social Media Corpora
(Chapter, 2019)The paper describes the systems submitted to OffensEval (SemEval 2019, Task 6) on ‘Identifying and Categorizing Offensive Language in Social Media’ by the ‘NIT_Agartala_NLP_Team’. A Twitter annotated dataset of 13,240 ... -
No-Reference Quality Measure in Brain MRI Images using Binary Operations, Texture and Set Analysis
(Journal article; Peer reviewed, 2017)The authors propose a new application-specific, post-acquisition quality evaluation method for brain magnetic resonance imaging (MRI) images. The domain of a MRI slice is regarded as universal set. Four feature images; ...