Results 71 to 80 of about 156,806 (296)

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

A Comparison of Metaheuristic Algorithms for Structural Optimization: Performance and Efficiency Analysis

Advances in Civil Engineering
Optimization challenges effectively mirror numerous complex real-world problems. These are typically addressed using two methodologies: approximate methods and exact methods. Within the approximate category, meta-heuristic methods are prominent.
Saeedeh Ghaemifard, Amin Ghannadiasl
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

EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

IEEE Access, 2020
Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning.
Khalid Hassan Sheikh, Shameem Ahmed, Krishnendu Mukhopadhyay, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar   +6 more
doaj   +1 more source

A new population initialisation method based on the Pareto 80/20 rule for meta‐heuristic optimisation algorithms

IET Software, 2021
In this research, a new method for population initialisation in meta‐heuristic algorithms based on the Pareto 80/20 rule is presented. The population in a meta‐heuristic algorithm has two important tasks, including pushing the algorithm toward the real ...
Mohammad Reza Hasanzadeh, Farshid Keynia
doaj   +1 more source

Beyond Visible Differences: An Experimental Investigation Into the Role of Cognitive Diversity Awareness in Shaping Team Dynamics

Strategic Change, EarlyView.
ABSTRACT The relationship between team composition and organizational outcomes is a critical topic in many managerial and business contexts. In this study, we utilize an experimental research method to examine the impact of cognitive diversity on team dynamics.
Jantunen Ari, Mittone Luigi, Morreale Azzurra, Tuppura Anni, Tarkiainen Anssi, Vu Thi‐Thanh‐Tam   +5 more
wiley   +1 more source

How to Conduct a Multi‐Domain Systematic (Literature) Review? Guidelines Using The Lotus Protocol

Psychology &Marketing, EarlyView.
ABSTRACT Complex challenges increasingly demand multidisciplinary research across intersecting knowledge domains. However, existing systematic (literature) review protocols offer limited guidance and tend to confine scholars to single‐domain or single‐intersection reviews.
Bart J. A. van Bueren, Weng Marc Lim, Naveen Donthu, Kevin Argus, Julian M. Water‐Lynch, Alvedi Sabani, Mark A. A. M. Leenders   +6 more
wiley   +1 more source

PMT: Opposition-Based Learning Technique for Enhancing Meta-Heuristic Performance

IEEE Access, 2019
Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between ...
Hammoudeh S. Alamri, Kamal Z. Zamli
doaj   +1 more source

Experimental Modal Analysis‐Driven Gaussian Process Regression Modeling of Rectangular Steel Beams With Various Hole Geometries

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee, Majid Rajaei, Mohammad Hossein Mahdavi Nasab, Parsa Shafiei   +3 more
wiley   +1 more source

Practical System-on-Chip Repeater Design With Hybrid Meta-Heuristic Techniques

IEEE Access, 2018
This paper recommends a practical way to insert buffer and flop repeaters onto global signals of a complex system-on-chip (SoC). With the advent of deep sub-micrometer technology and new business environment, the market prefers a highly integrated SoC ...
Eng Keong Teh, Mohamad Adzhar Md Zawawi, Mohamed Fauzi Packeer Mohamed, Nor Ashidi Mat Isa   +3 more
doaj   +1 more source