Results 51 to 60 of about 2,699 (199)

A simplified two‐station approach for modeling metabolism in dam tailwaters subject to diel flow variation

Limnology and Oceanography: Methods, EarlyView.
Abstract Tailwaters are ubiquitous and highly managed ecosystems whose food webs often rely disproportionately on autochthonous energy. In situ continuous dissolved oxygen data are increasingly being used to estimate gross primary productivity and ecosystem respiration in rivers, but this approach is complicated in tailwaters, where upriver ...
Ian W. Bishop, Bridget R. Deemer, Theodore A. Kennedy, Robert A. Payn, Robert O. Hall Jr., Charles B. Yackulic   +5 more
wiley   +1 more source

Localized Quadratic RF Encoded Spin‐Echo With Spiral‐PRIME Reconstruction: A Practical Alternative to 3D FSE for High‐Resolution Volumetric Brain MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy, Julia V. Velikina, James G. Pipe   +2 more
wiley   +1 more source

Edge detection based on augmented lagrangian method for lowquality medical images

Ho Chi Minh City Open University Journal of Science - Engineering and Technology, 2018
Medical images are useful for the treatment process. They contain a lot of information on displaying abnormalities in your body. The contour of medical images is a matter of interest.
Vo Thi Hong Tuyet
doaj   +1 more source

The Role of Energy Transition, Digitalization, and Green Goods in Material Footprints and Sustainability

Sustainable Development, EarlyView.
ABSTRACT This study investigates how green and non‐green goods, energy transition, digitalization, economic growth, and population affect the material footprint of G‐7 countries from 1990 to 2023. Using an extended STIRPAT framework, we show that green and non‐green goods increase material footprint, demonstrating the resource intensity associated with
Sohidul Islam, Shahzad Alvi, Scott J. Niblock, Hamid Ghazi H. Sulimany, Md. Mustaqim Roshid, Frédéric Mirindi   +5 more
wiley   +1 more source

Managing the SDG‐Aligned Energy Transition in OECD Countries: How Do Economic Growth, Income Inequality, and Environmental Protection Expenditures Impact Energy Transition?

Sustainable Development, EarlyView.
ABSTRACT In recent years, transition to renewable energy has emerged as a vital strategy for achieving sustainable development and reducing environmental degradation. Only when backed by a solid institutional and macroeconomic context can economic growth serve as a stimulus for the development of renewable energy.
Azad Erdem, Erick Okoth, Yasin Sogut, Nazli Demirtas   +3 more
wiley   +1 more source

Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

Journal of Applied Mathematics, 2012
For nonconvex optimization problem with both equality and inequality constraints, we introduce a new augmented Lagrangian function and propose the corresponding multiplier algorithm. New iterative strategy on penalty parameter is presented.
Xunzhi Zhu, Jinchuan Zhou, Lili Pan, Wenling Zhao   +3 more
doaj   +1 more source

Augmented Lagrangian Approach to the Newsvendor Model with Component Commonality

Mathematical and Computational Applications, 2019
Component commonality is a well-known approach in manufacturing, where the same components are used for multiple products. It has been implemented by many established companies such as Airbus, Kodak, Toyota, etc.
Abdelouahed Hamdi, Lotfi Tadj
doaj   +1 more source

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan, Naeem Iqbal, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do‐Hyeun Kim   +4 more
wiley   +1 more source

An augmented Lagrangian multi-scale dictionary learning algorithm

EURASIP Journal on Advances in Signal Processing, 2011
Learning overcomplete dictionaries for sparse signal representation has become a hot topic fascinated by many researchers in the recent years, while most of the existing approaches have a serious problem that they always lead to local minima.
Ye Meng, Liu Qiegen, Luo Jianhua, Wang Shanshan, Xiao Moyan   +4 more
doaj  

Optimisation or Learning? Appropriate Choice of Models and Methods for Sequential Decision‐Making in Power System Operation

Energy Internet, EarlyView.
ABSTRACT Power system operation is inherently a sequential decision‐making problem, traditionally addressed through optimisation models built upon high‐quality load forecasts. However, the rapid proliferation of renewable generation and price‐responsive demands, such as electric vehicles and merchant energy storage, has introduced multiple sources of ...
Wei Wei, Runze Liang
wiley   +1 more source