Research on hybrid strategy Particle Swarm Optimization algorithm and its applications by Jicheng Yao, Xiaonan Luo, Fang Li, Ji Li, Jundi Dou, Hongtai Luo

Subjects: “…Particle Swarm Optimization algorithm…”
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From Loom to Code: Rethinking Interfaces Through Cyberfeminist Practices by Daria A. Kolesnikova

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Improved self-calibration image enhancement algorithm based on attention mechanism and its application in maritime low-light images by Li SU, Shihao CUI

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Finite Element Model Updating for a Continuous Beam-Arch Composite Bridge Based on the RSM and a Nutcracker Optimization Algorithm by Weihua Zhou, Hongyin Yang, Jing Hao, Mengxiang Zhai, Hongyou Cao, Zhangjun Liu, Kang Wang

Subjects: “…nutcracker optimization algorithm…”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

Subjects: “…particle swarm optimization algorithm…”
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Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments by Hanan Abbas Mohammad

Subjects: “…CICIoT2023 Dataset, Feature scaling, IoT Security, Deep learning, LSTM Models, Whale optimization algorithm (WOA), Detect IoT Attacks.…”
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A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

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Vehicle scheduling optimization for demand responsive transit with flexible stops by SHEN Zikang, JIN Wenzhou, ZHENG Yajing

Subjects: “…adaptive variable neighborhood search algorithm…”
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Enhanced Numerical Solutions for Fractional PDEs Using Monte Carlo PINNs Coupled with Cuckoo Search Optimization by Tauqeer Ahmad, Muhammad Sulaiman, David Bassir, Fahad Sameer Alshammari, Ghaylen Laouini

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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

Subjects: “…quantum grey wolf optimisation algorithm…”
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Multi-objective optimization framework for electric vehicle charging and discharging scheduling in distribution networks using the red deer algorithm by Sahbi Boubaker, Habib Kraiem, Nejib Ghazouani, Souad Kamel, Adel Mellit, Faisal S. Alsubaei, Farid Bourennani, Walid Meskine, Tariq Alqubaysi

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Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates by Yu Liu, Kazuya Kaneko, Kentaro Baba, Jumpei Koyama, Koichi Kimura, Naoyuki Takeda

Subjects: “…variational quantum algorithms (VQAs)…”
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Research on the Laser Scattering Characteristics of Three-Dimensional Imaging Based on Electro–Optical Crystal Modulation by Houpeng Sun, Yingchun Li, Huichao Guo, Chenglong Luan, Laixian Zhang, Haijing Zheng, Youchen Fan

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Fractional-Order Modeling and Identification for Dual-Inertia Servo Inverter Systems with Lightweight Flexible Shaft or Coupling by Xiaohong Wang, Yijian Su, Ying Luo, Tiancai Liang, Hengrui Hu

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

Subjects: “…particle swarm optimization algorithm…”
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Algorithms for estimating modular numbers in floating-point arithmetic by Konstantin Sergeevich Isupov

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Multi-Objective Optimization Scheduling of a Wind–Solar Energy Storage Microgrid Based on an Improved OGGWO Algorithm by Dong Mo, Qiuwen Li, Yan Sun, Yixin Zhuo, Fangming Deng

Subjects: “…oppositional gradient grey wolf optimization (OGGWO) algorithm…”
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Optimization model for reliability-based maintenance strategies of critical components in electric multiple units by CHEN Jiayu, SONG Dongli, GENG Fangdong

Subjects: “…parallel quantum genetic algorithm…”
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Mathematical analysis of Prandtl number with Artificial neural network and fractional operator for nanofluid flow by Muhammad Ramzan, Ahmad Shafique, Shajar Abbas, Rifaqat Ali, Tarik Lamoudan, Rashid Jan, Muyassar Norberdiyeva, Bakhora Turabova, Hakim AL Garalleh

Subjects: “…Levenberg–Marquardt neural network training algorithm…”
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Machine learning opportunities to predict obstetric haemorrhages by Yu. S. Boldina, A. A. Ivshin

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