Results 91 to 100 of about 256,802 (314)

Defining the end point of status epilepticus: A scoping review and framework for standardization

Epilepsia, EarlyView.
Abstract Status epilepticus (SE) is a life‐threatening neurological emergency with consensus‐driven definitions for onset but no standardized criteria for its end point. This gap creates uncertainty in research and clinical practice. We conducted a scoping review to evaluate how end points have been defined in SE research and to identify key areas of ...
Fawad A. Khan, Margaret T. Gopaul, Samuel L. Carter, Anil Chimakurthy, Summer Skelton, Lawrence J. Hirsch, Eugen Trinka   +6 more
wiley   +1 more source

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

New heuristics and meta-heuristics for the Bandpass problem

Engineering Science and Technology, an International Journal, 2017
The Bandpass problem (BP), modelled by Babayev et al., is a combinatorial optimization problem arising in optical communication networks using wavelength division multiplexing technology.
Arif Gursoy, Mehmet Kurt, Hakan Kutucu, Urfat Nuriyev   +3 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Annual Electric Load Forecasting by a Least Squares Support Vector Machine with a Fruit Fly Optimization Algorithm

Energies, 2012
The accuracy of annual electric load forecasting plays an important role in the economic and social benefits of electric power systems. The least squares support vector machine (LSSVM) has been proven to offer strong potential in forecasting issues ...
Bao Wang, Chenbo Su, Huiru Zhao, Sen Guo, Hongze Li   +4 more
doaj   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

Technological Evolution in Fintech: A Decadal Scientometric and Systematic Review of Developments and Criticisms

International Journal of Finance &Economics, EarlyView.
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley   +1 more source

A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch

Scientific Reports
Recently, meta-heuristic optimization algorithms have enhanced resource efficiency, facilitated informed decision-making, and addressed complex problems involving multiple variables and constraints in engineering and science fields.
Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez   +2 more
doaj   +1 more source

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

A hybrid scatter search. Electromagnetism meta-heuristic for project scheduling. [PDF]

In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the ...
De Reyck, B, Debels, D, Leus, Roel, Vanhoucke, M   +3 more
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