Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 15112-15131 of 38688
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The generalized super-twisting algorithm with adaptive gains
(Chapter, 2020)In this paper a novel adaptive generalized super-twisting algorithm is proposed for a class of systems whose perturbations and uncertain control coefficients are time- and state-dependent. The proposed approach uses ... -
The generalized super-twisting algorithm with adaptive gains
(Peer reviewed; Journal article, 2022)In this article, a novel adaptive generalized super-twisting algorithm (GSTA) is proposed for a class of systems whose perturbations and uncertain control coefficients may depend on both time and state. The proposed approach ... -
Generalized utilization-based similarity coefficient for machine-part grouping problem in cellular manufacturing
(Journal article; Peer reviewed, 2019)This article intends to justify the gap in the research of similarity coefficient driven approaches and cell formation problems (CFP) based on ratio data in cellular manufacturing systems (CMS). The actual implication of ... -
Generalized Voltage-based State-Space Modelling of Modular Multilevel Converters with Constant Equilibrium in Steady-State
(Journal article; Peer reviewed, 2018)Abstract: This paper demonstrates that the sum and difference of the upper and lower arm voltages are suitable variables for deriving a generalized state-space model of an MMC which settles at a constant equilibrium in ... -
Generally applicable procedure for in situ formation of fluorescent protein-gold nanoconstructs
(Journal article; Peer reviewed, 2012)Small noble metal nanoclusters can be formed in situ by direct reduction and stabilization of a metal precursor by biomolecules such as proteins. Considering the diversity in amino acid composition of proteins, and hence ... -
Generating a Vision for Smart Sustainable Cities of the Future: A Scholarly Backcasting Approach
(Journal article; Peer reviewed, 2019)Sustainable cities have been the leading global paradigm of urbanism. Undoubtedly, sustainable development has, since its widespread diffusion in the early 1990s, positively influenced city planning and development. This ... -
Generating environmental sampling and testing data for micro- and nanoplastics for use in life cycle impact assessment
(Peer reviewed; Journal article, 2022)Ongoing efforts focus on quantifying plastic pollution and describing and estimating the related magnitude of exposure and impacts on human and environmental health. Data gathered during such work usually follows a receptor ... -
Generating Flavor Molecules Using Scientific Machine Learning
(Journal article; Peer reviewed, 2023) -
Generating scenarios from probabilistic short-term load forecasts via non-linear Bayesian regression
(Chapter, 2021)In this paper we present a simple and intuitive method for fitting a non-linear Bayesian regression model on short-term load forecasts. Such models have been implemented via Bayesian neural networks, which are known for ... -
Generating series for networks of Chen–Fliess series
(Peer reviewed; Journal article, 2021)Consider a set of single-input, single-output nonlinear systems whose input–output maps are described only in terms of convergent Chen–Fliess series without any assumption that finite dimensional state space models are ... -
Generation and Functional In Vitro Analysis of Semliki Forest Virus Vectors Encoding TNF-α and IFN-γ
(Journal article; Peer reviewed, 2017)Cytokine gene delivery by viral vectors is a promising novel strategy for cancer immunotherapy. Semliki Forest virus (SFV) has many advantages as a delivery vector, including the ability to (i) induce p53-independent killing ... -
Generation of a Mouse Model Lacking the Non-Homologous End-Joining Factor Mri/Cyren
(Journal article; Peer reviewed, 2019)Classical non-homologous end joining (NHEJ) is a molecular pathway that detects, processes, and ligates DNA double-strand breaks (DSBs) throughout the cell cycle. Mutations in several NHEJ genes result in neurological ... -
Generation of a Suspended Sediment Rating Curve of a Himalayan River based on a Long-term Data: A case study of Kabeli River
(Journal article, 2021)Suspended Sediment Rating Curve (SSRC) is one of the most cost effective method for monitoring and predicting suspended sediment concentration for water resource project development. This method allows estimating the ... -
Generation of micro- and nano-textured surfaces
(Research report, 2021)Additive manufacturing (AM), also known as 3D printing, is one promising method to generate textures resulting in a different surface appearance. Texture can be generated by concentrating on the nanoscale or microscale. ... -
Generation of quantifiable knowledge about delouse treatments of salmon – The case of Hydrolicer®/Hydroflow treatments
(Peer reviewed; Journal article, 2023)Controlling the salmon lice problem is at the very core of the salmon farming industry’s growth challenges. One group of methods to control lice is the mechanical treatment methods. By means of these methods, lice can be ... -
Generation of rule-adhering robot programs for aluminium welding automatically from CAD
(Peer reviewed; Journal article, 2023)This paper presents a method to automatically generate robot welding programs from CAD to address the ever-constant demand for product customisation. Furthermore, to ensure that proper welding operations and structural ... -
Generation time and seasonal migration explain variation in spatial population synchrony across European bird species
(Peer reviewed; Journal article, 2023)Spatial population synchrony is common among populations of the same species and is an important predictor of extinction risk. Despite the potential consequences for metapopulation persistence, we still largely lack ... -
Generative Adversarial Immitation Learning for Steering an Unmanned Surface Vehicle
(Peer reviewed; Journal article, 2020)The task of obstacle avoidance using maritime vessels, such as Unmanned Surface Vehicles (USV), has traditionally been solved using specialized modules that are designed and optimized separately. However, this approach ... -
GENERATIVE AI IN DESIGN EDUCATION: BUSINESS AS USUAL, A TROUBLEMAKER, OR A GAME CHANGER?
(Chapter, 2024)Higher education institutions (HEI) are facing fundamental questions regarding students’ use of artificial intelligence (AI) tools in the form of large language model (LLM) based chatbots. Students are already using AI ... -
Generative approaches
(Chapter, 2019)