Results 11 to 20 of about 369 (162)

A multi modal fusion coal gangue recognition method based on IBWO-CNN-LSTM [PDF]

Scientific Reports
Accurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional
Wenchao Hao, Haiyan Jiang, Qinghui Song, Qingjun Song, Shirong Sun   +4 more
doaj   +3 more sources

A novel binary modified beluga whale optimization algorithm using ring crossover and probabilistic state mutation for enhanced bladder cancer diagnosis

Informatics in Medicine Unlocked
Bladder cancer (BC) remains a significant global health challenge, requiring the development of accurate predictive models for diagnosis. In this study, a new Binary Modified White Whale Optimization (B-MBWO) algorithm is proposed to address the BC ...
Hasan Gharaibeh, Noor Aldeen Alawad, Ahmad Nasayreh, Rabia Emhamed Al Mamlook, Sharif Naser Makhadmeh, Ayah Bashkami, Qais Al-Na'amneh, Laith Abualigah, Absalom E. Ezugwu   +8 more
doaj   +4 more sources

Improved Multi-Objective Beluga Whale Optimization Algorithm for Truck Scheduling in Open-Pit Mines

Sustainability
Big data and artificial intelligence have promoted mining innovation and sustainable development, and the transportation used in open-pit mining has increasingly incorporated unmanned driving, real-time information sharing, and intelligent algorithm applications.
Pengchao Zhang, Xiang Liu, Zebang Yi, Qiuzhi He   +3 more
exaly   +3 more sources

Multimodal representative answer extraction in community question answering

Journal of King Saud University: Computer and Information Sciences, 2023
To solve the information overload problem of multimodal answers in community question answering (CQA), this paper proposes a multimodal representative answer extraction method.
Ming Li, Yating Ma, Ying Li, Yixue Bai
doaj   +2 more sources

Research on multiobjective capacity configuration optimization of grid‐connected wind–solar–storage microgrid system based on improved BWO algorithm

Energy Science & Engineering
How to effectively utilize renewable energy and improve the economic efficiency of microgrid system and its ability to consume renewable energy has become one of the main problems facing China at present.
Ziheng Wang, Tao Wang, Qunfeng Niu, Jianfeng Wu, Mingwei Li, Shuaiqi Zhu   +5 more
doaj   +2 more sources

Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems

Journal of Big Data
Beluga Whale Optimization (BWO) is a new metaheuristic algorithm that simulates the social behaviors of beluga whales swimming, foraging, and whale falling. Compared with other optimization algorithms, BWO shows certain advantages in solving unimodal and
Jiaxu Huang, Haiqing Hu
doaj   +2 more sources

Scene classification in dance art using deep learning with squeeze and excitation networks and the Advanced Beluga Whale Optimization Algorithm [PDF]

Scientific Reports
Automation of scene classification within artistic domains has become more prevalent due to the advent of deep learning. This study presented a new framework for classifying dance scenes using an adapted Squeeze-and-Excitation Network (SENet) and ...
Yude Dong, Linfang Sun
doaj   +2 more sources

Beluga Optimization Algorithm for Near-Infrared Spectral Variable Selection of Complex Samples [PDF]

Foods
Near-infrared (NIR) spectroscopy combined with multivariate calibration methods is widely used for the quantitative analysis of complex samples. However, the high-dimensional redundancy of spectra may compromise model predictive accuracy, making it ...
Javaria Kousar, Liping Yang, Jiale Xiang, Qingwei Mao, Xihui Bian   +4 more
doaj   +2 more sources

High-Accuracy Photovoltaic Power Prediction under Varying Meteorological Conditions: Enhanced and Improved Beluga Whale Optimization Extreme Learning Machine

Energies
Accurate photovoltaic (PV) power prediction plays a crucial role in promoting energy structure transformation and reducing greenhouse gas emissions. This study aims to improve the accuracy of PV power generation prediction. Extreme learning machine (ELM)
Wei Du, Shi-Tao Peng, Pei-Sen Wu, Ming-Lang Tseng   +3 more
doaj   +2 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 ...
Qiang Li, Xiao Liao, Wei Cui, Ying Wang, Hui Cao, Xianjing Zhong   +5 more
doaj   +2 more sources