Accurate power‐flow initialization of double‐cage induction motors using unified Newton‐Raphson method
Sign Up to like & getrecommendations! Published in 2017 at "International Transactions on Electrical Energy Systems"
DOI: 10.1002/etep.2380
Abstract: Summary An initialization of power system dynamic simulation using conventional power-flow model is not suitable for induction motor load due to unavoidable mismatch between prespecified reactive powers from power-flow calculation and the ones actually required… read more here.
Keywords: power flow; power; initialization; induction ... See more keywords
Automatic initialization of active contours in ultrasound images of breast cancer
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0627-6
Abstract: Gradient vector flow (GVF) snakes are an efficient method for segmentation of ultrasound images of breast cancer. However, the method produces inaccurate results if the seeds are initialized improperly (far from the true boundaries and… read more here.
Keywords: images breast; method; breast cancer; ultrasound images ... See more keywords
A pilot study for segmentation of pharyngeal and sino-nasal airway subregions by automatic contour initialization
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-017-1650-1
Abstract: PurposeThe objective of the present study is to put forward a novel automatic segmentation algorithm to segment pharyngeal and sino-nasal airway subregions on 3D CBCT imaging datasets.MethodsA fully automatic segmentation of sino-nasal and pharyngeal airway… read more here.
Keywords: airway subregions; segmentation; contour initialization; initialization ... See more keywords
Resolution of overlapping terahertz spectra using non-negative matrix factorization base on pure variables initialization
Sign Up to like & getrecommendations! Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2018.09.094
Abstract: Abstract In many cases, especially for multi-component mixture, the overlap of spectra will greatly affect the identification accuracy. It is not a reliable method to identify components only by analyzing absorption peaks of mixture directly.… read more here.
Keywords: base pure; base; initialization; pure variables ... See more keywords
Improvement of the soil-atmosphere interactions and subsequent heavy precipitation modelling by enhanced initialization using remotely sensed 1 km soil moisture information
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111812
Abstract: Abstract This study assesses the impact of an improved soil moisture (SM) initialization using direct insertion methodology for convection-resolving modelling of heavy precipitation events (HPEs). State-of-the-art 1 km SM data from the Soil Moisture and Ocean… read more here.
Keywords: methodology; precipitation; initialization; soil ... See more keywords
Assessing the Impact of Initialization on Decadal Prediction Skill
Sign Up to like & getrecommendations! Published in 2020 at "Geophysical Research Letters"
DOI: 10.1029/2019gl086361
Abstract: An alternative approach to evaluating the correlation skill of near-term climate predictions is proposed. The approach separately quantifies the skill of the initialized and uninitialized components of the forecast and their contributions to overall correlation… read more here.
Keywords: component; climate; initialization; skill ... See more keywords
Filter Pruning and Re-Initialization via Latent Space Clustering
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031031
Abstract: Filter pruning is prevalent for pruning-based model compression. Most filter pruning methods have two main issues: 1) the pruned network capability depends on that of source pretrained models, and 2) they do not consider that… read more here.
Keywords: space clustering; filter pruning; space; initialization ... See more keywords
Improving Local Trajectory Optimization by Enhanced Initialization and Global Guidance
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3159233
Abstract: Trajectory optimization is a promising method for planning trajectories of robotic manipulators. With the increasing success of collaborative robots in dynamic environments, the demand for online planning methods grows and offers new opportunities as well… read more here.
Keywords: improving local; local trajectory; trajectory optimization; initialization ... See more keywords
Simultaneous State Initialization and Gyroscope Bias Calibration in Visual Inertial Aided Navigation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2016.2521413
Abstract: State of the art approaches for visual-inertial sensor fusion use filter-based or optimization-based algorithms. Due to the nonlinearity of the system, a poor initialization can have a dramatic impact on the performance of these estimation… read more here.
Keywords: gyroscope bias; state; initialization; performance ... See more keywords
Spline-Based Initialization of Monocular Visual–Inertial State Estimators at High Altitude
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2017.2724770
Abstract: Due to the lack of direct distance measurements, robust and accurate state estimation at high altitude but GPS-denied environments is a challenging task. A possible solution is monocular visual–inertial estimators, in which visual and inertial… read more here.
Keywords: state; monocular visual; initialization; spline based ... See more keywords
An Improved Initialization Method for Fast Learning in Long Short-Term Memory-Based Markovian Spectrum Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2020.3046330
Abstract: The opportunistic sharing of frequency bands supported in the Dynamic Spectrum Access (DSA) paradigm resolves the spectrum scarcity issue in wireless communications. To this end, deep learning models such as Long Short-Term Memory (LSTM) are… read more here.
Keywords: long short; method; spectrum; initialization ... See more keywords