Results 41 to 50 of about 4,016,580 (147)

An improved Pelican Optimization Algorithm with velocity effect

Journal of Electrical Systems and Information Technology
Optimization methods are fundamental across numerous scientific and engineering disciplines. This study presents the Pelican Optimization Algorithm with Velocity Effect (VEPOA), an improved variant of the nature-inspired Pelican Optimization Algorithm ...
Abena Sarpomaa Appiah, Daniel Kwegyir, Francis Boafo Effah, Daniel Opoku, Peter Asigri, Emmanuel Kwaku Anto, Nana Maryam Abdul-Bassit Munagah, Kelvin Worlanyo Tamakloe   +7 more
doaj   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

Engineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil, P. Vishwanath, S. M. Anowarul Haque   +2 more
wiley   +1 more source

Multiobjective Approach to Schedule DAG Tasks on Voltage Frequency Islands

IEEE Access, 2023
Scheduling a Directed Acyclic Graph (DAG) on voltage frequency islands involves dividing the available processing units into multiple islands with varying voltage and frequency levels and then mapping the tasks of the DAG to the islands while minimizing ...
Sanchit, Navjot Singh, Jagpreet Singh
doaj   +1 more source

A Hybrid Fitness‐Guided Starfish Optimiser for Stochastic Allocation of Photovoltaic Energy Sources in Distribution Systems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This paper develops a hybrid fitness‐guided starfish optimiser (HF‐SFO) for stochastic photovoltaic‐distributed generation integration in radial distribution networks. Hybridised with the point estimate method, the proposed HF‐SFO models load demand and PV uncertainty using a reduced scenario matrix of five cases, each with assigned probabilistic ...
Ali S. Aljumah, Mohammed H. Alqahtani, Ahmed Ginidi, Abdullah M. Shaheen   +3 more
wiley   +1 more source

Optimizing Fast Learning Network Using Fuzzy Adaptive Metaheuristic Algorithms for Robust Intrusion Detection

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
In today’s digital era, the prevalence of cyberattacks requires robust security measures to keep sensitive and confidential information and infrastructure safe and secure. The intrusion detection system (IDS) plays the most vital role in this aspect by serving as a first‐line defense against these malicious activities and potential breaches. This paper
Fakhrud Din, Fida Ur Rahman, Dost Muhammad, Mohammad Hasan Ali, Mushtaq Ali, Malika Bendechache, Cheng-Jian Lin   +6 more
wiley   +1 more source

Investigating the Mechanical and Microstructural Properties With Machine Learning Optimization of Recycled Eco‐Friendly PET Modified Concrete

Advances in Civil Engineering, Volume 2026, Issue 1, 2026.
Over the past decades, studies have demonstrated the effectiveness of polyethylene (PE) and PE terephthalate (PET) as an alternative to aggregates in enhancing concrete performance. This research aims to predict the compressive strength (CS) of PE and PET‐incorporated concrete by evaluating the influence of key factors, including cement content, PET ...
Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Ibrahim Y. Hakeem, Mohamed AbdelMongy, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Arnab Biswas   +6 more
wiley   +1 more source

A Flexible Management Strategy for the Optimal Integration of Renewable Energy Resources

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
In this study, an adaptive management strategy for optimal integration of renewable energy resources with IEEE‐69 bus distribution network (DN) is presented. The first layer takes into account coordination between the sources and utility grid in order to optimize their profit in proposed markets, according to limitations of renewable sources.
Bilal Naji Alhasnawi, Vladimír Bureš, Alžběta Dočekalová   +2 more
wiley   +1 more source

Prediction of stamping parameters for imitation π-shaped lithium battery shells by building variable weight and threshold pelican-BP neural networks

Advances in Mechanical Engineering, 2022
With the rapid development of artificial neural networks, more sophisticated network models and more accurate prediction results are provided for solving engineering applications.
Yuanyuan Gao, Na Liu, Peng Liu, Chengnuo Wang   +3 more
doaj   +1 more source

Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction.

PLoS ONE, 2023
The Underwater Acoustic Sensor Network (UASN) is a large network in which the vicinity of a transmitting node is made up of numerous operational sensor nodes. The communication process may be substantially disrupted due to the underwater acoustic channel'
Sathish Kaveripakam, Ravikumar Chinthaginjala   +1 more
doaj   +1 more source

Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine

Advanced Theory and Simulations, Volume 8, Issue 9, September 2025.
Machine Learning (ML) and optimization have permeated almost every aspect of engineering applications. Recent years have seen great traction toward ML‐based GaN HEMT modelling. However, ML‐based GaN HEMT models are mostly developed using variants of Artificial Neural Network (ANN).
Saddam Husain, Mohammad Hashmi, Fadhel M. Ghannouchi   +2 more
wiley   +1 more source