Results 71 to 80 of about 39,754 (281)
Tracking Climate and Environmental Attention: A News‐Based Composite Index
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
Fuzzy Strategy Grey Wolf Optimizer for Complex Multimodal Optimization Problems
Traditional grey wolf optimizers (GWOs) have difficulty balancing convergence and diversity when used for multimodal optimization problems (MMOPs), resulting in low-quality solutions and slow convergence.
Cao, Yuyi +5 more
core +1 more source
This study presents a modified algorithm of the grey wolf optimizer to solve the problem of learning rate selection in the multilayer type-2 asymmetric fuzzy controller (MT2AFC).
Tien-Loc Le +2 more
doaj +1 more source
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh +12 more
wiley +1 more source
Feature Selection Based on Grey Wolf Optimizer for Oil & Gas Reservoir Classification
The classification of the hydrocarbon reserve is a significant challenge for both oil and gas producing firms. The factor of reservoir recovery contributes to the proven reservoir growth potential which leads to a good preparation of field development ...
Rais, HM +3 more
core +1 more source
In this paper, a new method has been proposed to optimize the hyper parameters in Deep neural network (DNN). For this purpose, a new version of Grey Wolf Optimizer named New Balance Grey Wolf Optimizer (NB-GWO) is successfully developed for the first ...
Mirjalili, S +11 more
core +1 more source
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 +3 more
wiley +1 more source
Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification
Feature selection or dimensionality reduction can be considered as a multi-objective minimization problem with two objectives: minimizing the number of features and minimizing the error rate simultaneously.
Alhussian, Hitham +6 more
core +1 more source
Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms [PDF]
The growing global population has significantly increased energy demand, particularly in the residential building sector. This surge underscores the necessity for accurate energy consumption forecasting to facilitate effective planning and future demand ...
Milad Mohebbi, Behnam Sobhani
doaj +1 more source
This study presents a new Maximum Power Point Tracking (MPPT) approach for solar photovoltaic (PV) systems, combining the Super‐Twisting Algorithm (STA) and Grey Wolf Optimizer (GWO).
Nassir Deghfel +5 more
semanticscholar +1 more source

