Blar i Publikasjoner fra CRIStin - NTNU på tittel
Viser treff 14537-14556 av 37253
-
The Generalized Contrast-to-Noise Ratio: A Formal Definition for Lesion Detectability
(Peer reviewed; Journal article, 2020)In the last 30 years, the contrast-to-noise ratio (CNR) has been used to estimate the contrast and lesion detectability in ultrasound images. Recent studies have shown that the CNR cannot be used with modern beamformers, ... -
A Generalized Low-Rank Double-Tensor Nuclear Norm Completion Framework for Infrared Small Target Detection
(Peer reviewed; Journal article, 2022)Infrared small target detection is a research hotspot in computer vision technology that plays an important role in infrared early warning systems. Specifically, infrared images with strong background clutter and noise ... -
Generalized Lyapunov Demodulator for Amplitude and Phase Estimation by the Internal Model Principle
(Journal article; Peer reviewed, 2019)Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ... -
The Generalized Lyapunov Demodulator: High-Bandwidth, Low-Noise Amplitude and Phase Estimation
(Journal article, 2022)Effective demodulation of amplitude and phase is a requirement in a wide array of applications. Recent efforts have increased the demodulation performance, in particular, the Lyapunov demodulator allows bandwidths up to ... -
Generalized MIMO Sequence Impedance Modeling and Stability Analysis of MMC-HVDC With Wind Farm Considering Frequency Couplings
(Peer reviewed; Journal article, 2020)Recently, small-signal stability of the modular multilevel converter (MMC) based high-voltage direct current (HVDC) transmission for wind farm integration has attracted great attentions. The impedance-based frequency-domain ... -
Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs
(Journal article; Peer reviewed, 2018)Local sensitivity information is obtained for KKT points of parametric NLPs that may exhibit active set changes under parametric perturbations; under appropriate regularity conditions, computationally relevant generalized ... -
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 ... -
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 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 ...