Results 91 to 100 of about 8,834 (223)

Benchmarking Potential Construction Waste Streams and Their Climate Impact: Life Cycle Assessment‐Based Targets for Strategic Planning of Construction Processes

Sustainable Development, Volume 34, Issue S2, Page 280-295, March 2026.
ABSTRACT This study investigates how construction waste intensity affects greenhouse gas emissions (GHGe), analyzing data from 345 buildings constructed between 2007 and 2025. Using material waste rates (MWR) from previous cases, it predicts climate impacts based on typical material compositions.
Lea Hasselsteen, Aleksander P. Otovic, Harpa Birgisdóttir, Kai Kanafani   +3 more
wiley   +1 more source

Using Improved Hybrid Grey Wolf Algorithm Based on Artificial Bee Colony Algorithm Onlooker and Scout Bee Operators for Solving Optimization Problems

International Journal of Computational Intelligence Systems
Grey Wolf optimization (GWO) is a newly developed stochastic meta-heuristic technique motivated by nature. It shows potential in diverse optimization challenges. It replicates grey wolf hunting behaviour and social hierarchy, exploring the solution space
Ishaq Ahmad, Fawad Qayum, Sami Ur Rahman, Gautam Srivastava   +3 more
doaj   +1 more source

On the application of nature-inspired grey wolf optimizer algorithm in geodesy

Journal of Geodetic Science, 2020
Nowadays, solving hard optimization problems using metaheuristic algorithms has attracted bountiful attention. Generally, these algorithms are inspired by natural metaphors.
Yetkin M., Bilginer O.
doaj   +1 more source

Alternative method for economic dispatch utilizing grey wolf optimizer [PDF]

, 2015
Power system is one of the largest and most complex engineering systems created by human. The systems are created in order to ensure the longevity and sustainability of the energy for civilization development.
Wong, Lo Ing
core  

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

A Two‐Phase Detection Method Based on Ensemble Feature Fusion for Detecting Distributed Denial of Service (DDoS) Attacks in Cloud Computing Using Deep Learning Algorithm

Engineering Reports, Volume 8, Issue 2, February 2026.
This study introduces a two‐phase method for detecting DDoS attacks in cloud environments using ensemble feature fusion and a hybrid CNN‐LSTM model. By combining meta‐heuristic feature selection with deep learning, the approach achieves over 99% accuracy on benchmark datasets, reducing false positives and improving cybersecurity resilience.
Hind Saad Hussein, Fahad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source

Image Denoising with Modified Grey Wolf Optimizer

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2018
In this study, image denoising hasbeen realized with with the one of the recent Nature-Inspired optimizationalgorithms, Grey Wolf Optimizer(GWO). GWO is one of the recent most studiedcontinous optimization algorithm which performs better than the ...
Pakize Erdoğmuş, Hüseyin Avni Ardaç
doaj   +1 more source

IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) UNTUK PEMODELAN INVERSI 1D DATA MAGNETOTELLURIK

Jurnal Geosaintek
Magnetotellurik (MT) merupakan metode geofisika pasif yang memanfaatkan variasi medan elektromagnetik alami untuk memetakan struktur resistivitas bawah permukaan bumi. Metode ini mampu menjangkau kedalaman hingga puluhan kilometer dan sensitif terhadap kontras resistivitas, sehingga banyak digunakan dalam eksplorasi sumber daya alam seperti geotermal ...
Wahyu Eko Junian, Rifa Prima Adilla, Selvi Misnia Irawati   +2 more
openaire   +1 more source

Impact of Feature Engineering on Machine Learning Models for Heart Disease Prediction Across Multiple Data Sources

Engineering Reports, Volume 8, Issue 2, February 2026.
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil, Md. Rafiqul Islam, Saurav Chandra Das, Uzzal Kumar Acharjee, Md. Manowarul Islam, Mahir Mahbub   +5 more
wiley   +1 more source

Remaining useful life prediction for lithium-ion batteries based on an improved GWO–SVR algorithm

工程科学学报
Lithium-ion batteries have been applied in civil aircraft such as the B787 with excellent performance. As the service time of lithium-ion batteries increases, their performance continues to decline.
Hui JIN, Yinxiao HU, Hongjuan GE, Zhipeng HAO, Zhengzhiyuan ZENG, Zepeng TANG   +5 more
doaj   +1 more source