Results 41 to 50 of about 289 (127)

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

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

Early fault diagnosis of transformer winding based on ReliefF-mRMR leakage magnetic field feature optimization and improved LSSVM

Diance yu yibiao
Aiming at the problem of complex transformer structure and small amount of early winding fault sample data, in order to improve the accuracy of transformer winding fault type diagnosis, this paper proposes an early fault diagnosis model of transformer ...
LIU Jianfeng, DONG Qianwen, TIAN Shuxin, LIU Mengqi, MEI Zhicong, ZHOU Hai   +5 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

Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm

Energy Science &Engineering, Volume 13, Issue 6, Page 2973-2986, June 2025.
Flowchart of the methodology used for this study ABSTRACT Optimization scheduling plays a pivotal role in construction projects, significantly influencing both the overall project schedule and its efficiency. This study focuses on optimizing the scheduling of electric highway engineering projects within roadbed construction.
Dawei Wang, Bo Gao, Lei Zhang
wiley   +1 more source

Hybrid Neural Network Approach for Tea Leaf Disease Detection Using Pelican and Mayfly Optimization Algorithms

Jurnal Riset Informatika
This study addresses the problem of plant diseases and the difficulty of detecting them, and it presents a unique technique for the automatic detection of tea leaf diseases by combining neural networks and optimization techniques.
Saja Bilal Hafedh Al-Karawi, Hakan Koyuncu   +1 more
doaj   +1 more source

Comprehensive Optimization of PID Controller Parameters for DC Motor Speed Management Using a Modified Jellyfish Search Algorithm

Optimal Control Applications and Methods, Volume 46, Issue 1, Page 320-342, January/February 2025.
Conceptual design of PID controller optimization for DC motors using nature‐inspired algorithms. ABSTRACT The proportional integral derivative (PID) controller plays a crucial role in various industrial applications. However, conventional methods often fail to provide optimal parameter values.
Aykut Fatih Güven, Onur Özdal Mengi, Mohamed A. Elseify, Salah Kamel   +3 more
wiley   +1 more source

An Efficient Cluster Based Routing in Wireless Sensor Networks Using Multiobjective‐Perturbed Learning and Mutation Strategy Based Artificial Rabbits Optimisation

IET Communications, Volume 19, Issue 1, January/December 2025.
An important objective of this research is to enhance the network lifecycle and data delivery over the WSN. This research proposes the M‐PMARO for choosing the optimum CH that helps to balance the energy expenditure and achieves the reliable communication over the network.
Babiyola Arulanandam, Khalid Nazim Abdul Sattar, Rocío Pérez de Prado, Bidare Divakarachar Parameshchari   +3 more
wiley   +1 more source

RETRACTED: Segment Routing for WSN Using Hybrid Optimisation With Energy Efficient Game Theory Based Clustering Technique

IET Communications, Volume 19, Issue 1, January/December 2025.
1. This research focuses on wireless sensor networks (WSNs) and proposes a three‐phase approach to achieve energy‐efficient routing. 2. The approach consists of node deployment using Voronoi diagrams, clustering, cluster Head (CH) selection using energy‐efficient game theory, and a routing strategy based on improved pelican optimisation (ImPe) segment ...
S. Sangeetha, T. Aruldoss Albert Victoire, C. Kumar, Sourav Barua   +3 more
wiley   +1 more source

Reservoir Porosity Prediction Based on BiLSTM-AM Optimized by Improved Pelican Optimization Algorithm

Energies
To accurately predict reservoir porosity, a method based on bi-directional long short-term memory with attention mechanism (BiLSTM-AM) optimized by the improved pelican optimization algorithm (IPOA) is proposed.
Lei Qiao, Nansi He, You Cui, Jichang Zhu, Kun Xiao   +4 more
doaj   +1 more source