Results 81 to 90 of about 6,414 (217)

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

GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks [PDF]

Journal of Computer Networks and Communications, 2017
Seyedali Mirjalili et al. (2014) introduced a completely unique metaheuristic technique particularly grey wolf optimization (GWO). This algorithm mimics the social behavior of grey wolves whereas it follows the leadership hierarchy and attacking strategy. The rising issue in wireless sensor network (WSN) is localization problem.
R. Rajakumar, J. Amudhavel, P. Dhavachelvan, T. Vengattaraman   +3 more
openaire   +2 more sources

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

An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems

Scientific Reports
This research article introduces a hybrid optimization algorithm, referred to as Grey Wolf Optimizer-Teaching Learning Based Optimization (GWO-TLBO), which extends the Grey Wolf Optimizer (GWO) by integrating it with Teaching-Learning-Based Optimization (
Harleenpal Singh, Sobhit Saxena, Himanshu Sharma, Vikram Kumar Kamboj, Krishan Arora, Gyanendra Prasad Joshi, Woong Cho   +6 more
doaj   +1 more source

Optimizing Agricultural Management Practices for Maize Crops: Integrating Clusterwise Linear Regression with an Adaptation of the Grey Wolf Optimizer

Agriculture
Effectively managing agricultural practices is crucial for maximizing yield, reducing investment costs, preserving soil health, ensuring sustainability, and mitigating environmental impact.
Germán-Homero Morán-Figueroa, Carlos-Alberto Cobos-Lozada, Oscar-Fernando Bedoya-Leyva   +2 more
doaj   +1 more source

An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading

IEEE Access, 2020
Based on the boost full bridge isolated converter (BFBIC) topology and considering the sudden changes in the external environment, a global maximum power point tracking (GMPPT) control strategy based on an improved gray wolf optimizer (IGWO) algorithm is
Ke Guo, Lichuang Cui, Mingxuan Mao, Lin Zhou, Qianjin Zhang   +4 more
doaj   +1 more source

AN OPTIMAL POWER SCHEDULING A SMART HOME USING GREY WOLF OPTIMIZER (GWO)

, 2019
In this paper, GWO is adapted for Power Schedul- ing Problem (PSP). PSP is addressed by schedul- ing home appliances to a certain time horizon to minimize the electricity bill and peak-to-average ratio (PAR) and increase the comfort level of users. The simulation results shows the GWO ef- ficiency in obtaining optimal schedule by com- pare its results ...
openaire   +1 more source

Optimal Network Reconfiguration to Improve Network Reliability and Voltage Profile in Distribution Systems Using Chaotic Linear Decreasing Inertia Weight‐Based Particle Swarm Optimization

Engineering Reports, Volume 8, Issue 2, February 2026.
Graphical abstract illustrates the optimization process in MATLAB software for network reconfiguration to improve reliability and voltage profile using PSO‐CLDIW. ABSTRACT The growing energy demand has intensified reliability challenges in power distribution systems.
Samson Ademola Adegoke, Job Adedamola Adeleke, Adesola Sunday Adegoke, Abiodun Osuolale   +3 more
wiley   +1 more source

A Grey wolf optimizer combined with Artificial fish swarm algorithm for engineering design problems

Ain Shams Engineering Journal
For the problems of Grey wolf optimizer (GWO) easy to fall into local optimum and lack of population diversity, this thesis raises a Grey wolf optimizer combined with an Artificial fish swarm algorithm (AFGWO).
Hongzhi Zhang, Yong Zhang, Yixing Niu, Kai He, Yukun Wang   +4 more
doaj   +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