Results 51 to 60 of about 4,765,015 (215)

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Daily Peak Load Forecasting Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Support Vector Machine Optimized by Modified Grey Wolf Optimization Algorithm

Energies, 2018
Daily peak load forecasting is an important part of power load forecasting. The accuracy of its prediction has great influence on the formulation of power generation plan, power grid dispatching, power grid operation and power supply reliability of power
Shuyu Dai, Dongxiao Niu, Yan Li
doaj   +1 more source

Hybrid Strategy Improved Grey Wolf Optimization Algorithm for Plume Tracking and Localization Method in Indoor Weak Wind Environment

IEEE Access, 2022
Reliable tracking of the plume by the robot is the key to achieving plume source localization. To address the problem of low success rate and long search time of robot source location due to the unavailability of reliable information on gas diffusion ...
Xiaoqiang Jin, Xiangfeng Zhang, Hong Jiang, Jiaquan Tian   +3 more
doaj   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Time Management in Circular Construction: A Systematic Review of Secondary Materials Integration

Business Strategy and the Environment, EarlyView.
ABSTRACT The transition of the building and construction industry towards a circular economy (CE) increasingly relies on the integration of secondary materials. This integration can disrupt the traditional cost, time and quality metrics of project success.
Soheila Ghafoor, Salman Shooshtarian, Peter S. P. Wong, Tayyab Maqsood, André Stephan, Behzad Abbasnejad   +5 more
wiley   +1 more source

Recombinant Monoclonal Antibodies for Detecting the Tubulin Post‐Translational Modifications Glutamylation and Lysine‐40 Acetylation

Cytoskeleton, EarlyView.
ABSTRACT Post‐translational modifications (PTMs) to tubulin subunits in microtubule filaments are thought to comprise a component of the tubulin code that specifies microtubule functions in cell physiology and animal development. Acetylation of Lysine‐40 (K40) on α‐tubulin (αTub‐K40ac) and glutamylation of both α‐ and β‐tubulin are two tubulin PTMs of ...
Lynne Blasius, Ezekiel C. Thomas, Erik H. Collet, Erin Jenson, Chad G. Pearson, Ryoma Ohi, Kristen J. Verhey   +6 more
wiley   +1 more source

Collaborative Strategy for Grey Wolf Optimization Algorithm

Modern Applied Science, 2018
Grey wolf Optimizer (GWO) is one of the well known meta-heuristic algorithm for determining the minimum value among a set of values. In this paper, we proposed a novel optimization algorithm called collaborative strategy for grey wolf optimizer (CSGWO).
Esra F. Alzaghoul, Sandi N. Fakhouri
openaire   +2 more sources

Distributed Hybrid Flowline Rescheduling Based on Improved Gray Wolf Optimization Algorithm [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
Distributed hybrid flowline rescheduling was investigated considering machine breakdown and transportation time constraints. An integer programming model was constructed with the optimization objective of simultaneously minimizing the maximum ...
XUAN Hua, XIONG Mengying, CAO Ying
doaj   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Robust multi-user detection based on hybrid grey wolf optimization [PDF]

, 2019
The search for an effective nature-inspired optimization technique has certainly continued for decades. In this paper, a novel hybrid Grey wolf optimization and differential evolution algorithm robust multi-user detection algorithm is proposed to ...
Suqing Yan, Wang, S., Kamarul Hawari, Ghazali, Yan, S., Kamarul Hawari Ghazali, Shouhua Wang, Ji, Yuanfa, Sunyong Wu, Yuanfa Ji, Xiyan Sun, Wu, S., Sun, X., Fu, Q., Qiang Fu, Fan, Z ., Zhuo Fan   +15 more
core   +1 more source