Results 11 to 20 of about 98 (64)

Prediction of Physical and Mechanical Properties of Heat-Treated Wood Based on the Improved Beluga Whale Optimisation Back Propagation (IBWO-BP) Neural Network

Forests
The physical and mechanical properties of heat-treated wood are essential factors in assessing its appropriateness for different applications. While back-propagation (BP) neural networks are widely used for predicting wood properties, their accuracy often falls short of expectations. This paper introduces an improved Beluga Whale Optimisation (IBWO)-BP
Qinghai Wang, Wei Wang, Yan He, Meng Li
exaly   +3 more sources

Online Prediction Method of Transmission Line Icing Based on Robust Seasonal Decomposition of Time Series and Bilinear Temporal–Spectral Fusion and Improved Beluga Whale Optimization Algorithm–Least Squares Support Vector Regression

Applied System Innovation
Due to the prevalent challenges of inadequate accuracy, unstandardized parameters, and suboptimal efficiency with regard to icing prediction, this study introduces an innovative online method for icing prediction based on Robust STL–BTSF and IBWO–LSSVR ...
Xianjing Zhong, Hui Cao
exaly   +4 more sources

Two-stage heuristic algorithm for vehicle-drone collaborative delivery and pickup based on medical supplies resource allocation

Journal of King Saud University: Computer and Information Sciences, 2023
This paper aims to optimize medical material distribution in closed community logistics networks during sudden outbreaks with a focus on efficient waste collection and reduced consumable distribution time.
Yuhang Han, Miaohan Zhang, Pan Nan, Jianing Cao, Qi Huang, Xiao Ye, Zhaolei He   +6 more
doaj   +2 more sources

Cross-Attention Feature Fusion network for robust estimation of Cd2+ and Pb2+ in water samples using Cyclic Voltammetry

Chemical Engineering Journal Advances
Voltammetry is a promising technique for estimating heavy metal pollution such as Cadmium (Cd2+) and Lead (Pb2+) in water. Its advantages include rapid analysis and cost-effectiveness over established methods like Atomic Absorption Spectroscopy (AAS) and
Rizqy Ahsana Putri, Riyanarto Sarno, Wahyu Prasetyo Utomo, Fadlilatul Taufany, Kelly Rossa Sungkono, Taufiq Choirul Amri, Alya Kamilah, Rini Handayani, Sang-Seok Lee, A. Min Tjoa, Arif Abdullah Sagran   +10 more
doaj   +2 more sources

Design of optimized flatness based active disturbance rejection controller for communication time delayed hybrid microgrid

Ain Shams Engineering Journal
In an islanded hybrid microgrid, frequency deviation is caused by the intermittent nature of renewable resources and load variations. Maintaining nominal frequency requires the secondary controller to send a signal to the controllable energy sources so ...
Shahzad Ali, Yuanqing Xia, Khursheed Aurangzeb, Zohaib Ahmad Khan, Muhammad Shahid Anwar   +4 more
doaj   +2 more sources

A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting

IEEE Access
Stock market forecasting involves predicting fluctuations and trends in the value of financial assets, utilizing statistical and machine learning models to analyze historical market data for insights into future behavior.
Fathe Jeribi, R. John Martin, Ruchi Mittal, Hassan Jari, Abdulrahman Hassan Alhazmi, Varun Malik, S. L. Swapna, S. B. Goyal, Manoj Kumar, Shubhranshu Vikram Singh   +9 more
doaj   +2 more sources

Design of advanced intrusion detection in cybersecurity using ensemble of deep learning models with an improved beluga whale optimization algorithm

Alexandria Engineering Journal
The rapid growth and evolution of the Internet over the last few decades caused more concern about frequently changing and increasing cyberattacks. The Intrusion Detection System (IDS) is a powerful tool applied in cybersecurity methods to identify and ...
Fatimah Alhayan, Nuha Alruwais, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Alaa O. Khadidos, Fouad Shoie Alallah, Abdulrhman Alshareef   +7 more
doaj   +2 more sources

Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging

Ain Shams Engineering Journal
Unmanned aerial vehicles (UAVs) have transformed industries by capturing high-resolution aerial images with specialized cameras and sensors. This technology is widely used in remote sensing (RS), environmental monitoring, disaster response, agriculture ...
Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani   +6 more
doaj   +2 more sources

Flowchart for the IBWO algorithm for segmentation of aerial images.

, 2023
Flowchart for the IBWO algorithm for segmentation of aerial images.
Anilkumar P. (17304942), Venugopal P. (17304945)   +1 more
core   +1 more source

Wastewater Aeration Optimization Using Gaussian Process Regression Combined with Improved Black Widow Algorithm [PDF]

长江科学院院报
[Objective] Aeration represents the most energy-intensive process in wastewater treatment plants (WWTPs), accounting for over 50% of total energy consumption. Traditional operation strategies often rely on excessive aeration to ensure effluent compliance,
LIU Long-zhi, ZHENG Zhi-jiang, LI Ming, CHENG Hao, YANG Wei-min, WANG Yi-ke, YANG Zheng-zhang, WANG Xiao-yan
doaj   +1 more source