GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification by Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu

“…However, it is still challenging to learn complex network structures and the connectivity of brain regions in non-Euclidean space. …”
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Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China by Hongwu Zhou, Haidong Pan, Shuang Li, Xianqing Lv

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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

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Design of an Automatic Defect Identification Method Based ECPT for Pneumatic Pressure Equipment by Bo Zhang, YuHua Cheng, Chun Yin, Xuegang Huang, Sara Dadras, Hadi Malek

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Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect by Jing Yin, Jong Hoon Yang

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Performance Evaluation and Sensitivity Analysis of Rural Land Circulation Mode by Shanhui Sun, Wei Lu

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An Empirical Study on Intelligent Rural Tourism Service by Neural Network Algorithm Models by Jingzhi Chen, Hongbo Xue, Sang-Bing Tsa

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Multiobjective Multicast DSR Algorithm for Routing in Mobile Networks with Cost, Delay, and Hop Count by Hamdy H. El-Sayed, A. Younes, Fahad A. Alghamdi

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Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm by Hongyan Wang

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A Generalized Modularity for Computing Community Structure in Fully Signed Networks by Xiaochen He, Ruochen Zhang, Bin Zhu

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Evaluation of Seismic Performance of Reinforced Concrete Frame Structures in the Context of Big Data by Du Guangqian, Zheng Meng, Wang Shijie

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A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment by Cai Dai, Xiujuan Lei

“…However, these algorithms with uniformity of weight vectors cannot obtain a set of solutions with good diversity on some MOPs with complex Pareto optimal fronts (PFs) (i.e., PFs with a sharp peak or low tail or discontinuous PFs). …”
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Convolutional Neural Network and Channel Attention Mechanism for Multiclass Brain Tumor Classification by Ali Naderi, Akbar Asgharzadeh-Bonab, Farid Ahmadi, Hashem Kalbkhani

“…The proposed model comprises three key components: (1) a fine-tuned EfficientNetB7 convolutional neural network (CNN), adapted through transfer learning by freezing the initial layers and retraining subsequent layers to optimize feature extraction from MR images; (2) a channel attention module that refines extracted feature maps, emphasizing essential features for accurate tumor detection; and (3) a fully connected classifier, optimized through grid search, to achieve precise multiclass tumor classification. …”
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Coordinated Tracking for Nonlinear Multiagent Systems under Variable-Time Impulsive Control by Yuan Tian, Chuandong Li, Xujun Yang, Yiyan Han

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Intelligent Content-Centric Networking Routing Strategy: A Bacterial Quorum Inspired Pattern by Hong Yang, Xiong Guo, Chi Zhang, Mengliang Li

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Sign Prediction on Social Networks Based Nodal Features by Xiaoyu Zhu, Yinghong Ma

“…The experiments on real big social data proved the feasibility and efficiency of the SPR model: Comparing with some popular predication methods, the SPR model in this issue shows lower complexity and higher accuracy. …”
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Dynamic Analysis of a Competition-Cooperation Enterprise Cluster with Core-Satellite Structure and Time Delay by Wenjie Hu, Tao Dong, Hua Zhao

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A Damage Classification Approach for Structural Health Monitoring Using Machine Learning by Diego Tibaduiza, Miguel Ángel Torres-Arredondo, Jaime Vitola, Maribel Anaya, Francesc Pozo

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The Impacts of Multiscale Urban Road Network Centrality on Taxi Travel: A Case Study in Shenzhen by Dan Wang, Yongxi Gong, Xin Zhang, Yaoyu Lin

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Improved Monarch Butterfly Optimization Algorithm Based on Opposition-Based Learning and Random Local Perturbation by Lin Sun, Suisui Chen, Jiucheng Xu, Yun Tian

“…By comparing the opposition-based population with the original population, the better individuals are selected and pass to the next generation, and then this process can efficiently prevent the MBO from falling into a local optimum. …”
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