Results 101 to 110 of about 6,723 (242)

Research on Precise Identification of Rock Strength Based on Bolt Drilling Parameters

Energy Science &Engineering, Volume 14, Issue 3, Page 1353-1371, March 2026.
Drilling detection test platform. ABSTRACT During roadway excavation, the presence of weak interlayers and fractured rock masses significantly affects roof stability. To achieve timely and effective roadway support, it is crucial to identify and predict different rock types based on drilling signals from roof bolters.
Qiang Zhu, Sheng Biao Wang, Da Jiang Wen, Chong‐Yu Song, Kang Zhou   +4 more
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, Volume 45, Issue 2, Page 496-529, March 2026.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Optimizing Grey Wolf Optimization (GWO) For MPPT: Strategic Initial Value Selection And Search Space Narrowing

Nanotechnology Perceptions

openalex   +2 more sources

Grey Wolf Optimizes Mixed Parameter Multi-Classification Twin Support Vector Machine

Jisuanji kexue yu tansuo, 2020
Twin support vector machine (TWSVM) is an efficient binary classification algorithm based on support vector machine (SVM). Since most of the problems in reality are multi-classified, it is very important to extend binary classification twin support ...
ZHOU Guangyue, LI Kewen, LIU Wenying, SU Zhaoxin
doaj   +1 more source

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 Hybrid Ant Colony and Grey Wolf Optimization Algorithm for Exploitation-Exploration Balance [PDF]

The Ant Colony Optimization (ACO) and Grey Wolf Optimizer (GWO) are well-known nature-inspired algorithms. ACO is a metaheuristic search algorithm that takes inspiration from the behavior of real ants.
Hartati, Sri, Wardoyo, Retantyo, Widians, Joan Angelina   +2 more
core   +1 more source

Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots [PDF]

, 2020
This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem.
David, Radu-Codrut, Petriu, Emil M., Precup, Radu-Emil, Roman, Raul-Cristian, Szedlak-Stinean, Alexandra-Iulia, Tomescu, Marius L., Voisan, Emil-Ioan   +6 more
core   +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, Farhad Navabifar, Fariba Majidi, Hayder Kadhim Hammood   +3 more
wiley   +1 more source

Improving maximum power point tracking efficiency in solar photovoltaic systems using super‐twisting algorithm and grey wolf optimizer

IET Renewable Power Generation
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, Abd Essalam Badoud, Ahmad Aziz Al‐Ahmadi, Mohit Bajaj, Ievgen Zaitsev, Sherif S. M. Ghoneim   +5 more
doaj   +1 more source

A Hybrid Grey Wolf Optimizer–Zebra Optimization Algorithm for Solving Optimization Problems

Jambura Journal of Mathematics
Metaheuristic algorithms are widely applied to complex optimization problems, yet many suffer from premature convergence or slow search efficiency.
Ayad Ali
doaj   +1 more source