Identification of Important Nodes Based on Local Effective Distance-Integrated Gravity Model by Sheng Zhang, Fuhao Liu, Yuyuan Huang, Ziqiang Luo, Ka Sun, Hongmei Mao

“…Existing methods for identifying key nodes based on effective distance commonly suffer from high time complexity and often overlook the impact of nodes’ multi-attribute characteristics on the identification outcomes. To identify important nodes in complex networks more efficiently and accurately, we propose a novel method that leverages an improved effective distance fusion model to identify important nodes. …”
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Parametric Identification for the Biased Ship Roll Motion Model Using Genocchi Polynomials by G. Swaminathan, G. Hariharan, S. A. Mohiuddine, Kandhasamy Tamilvanan, Masho Jima Kabeto

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Bridging In Situ Testing and Constitutive Modelling: An Automated Approach to Soil Parameter Identification by Islam Marzouk, Franz Tschuchnigg

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Parameter identification of a nonlinear model using an improved version of simulated annealing by Xiaoxia Tian, Jingwen Yan, Yanchun Yang, Chi Xiao, Qi Zhou

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PMJDM: a multi-task joint detection model for plant disease identification by Rui Fu, Xuewei Wang, Shiyu Wang, Hao Sun

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Identification Method of Mature Wheat Varieties Based on Improved DenseNet Model by Zihang Liu, Yuting Zhang, Guifa Teng

“…In order to achieve accurate and efficient recognition of wheat varieties planted in wheat fields, a recognition method based on an enhanced DenseNet network model is proposed in this study. …”
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Streaming potential modeling in fractured rock: Insights into the identification of hydraulically active fractures by D. Roubinet, N. Linde, D. Jougnot, J. Irving

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System Identification Based Proxy Model of a Reservoir under Water Injection by Berihun M. Negash, Lemma D. Tufa, M. Ramasamy, Mariyamni Bt. Awang

“…The results show that, with proper design of excitation signal and proper selection of model structure, system identification based proxy models are found to be practical and efficient alternatives for mimicking the performance of numerical reservoir models. …”
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Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids by Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang

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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

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Efficiency determinants in Portuguese banking industry: an application through fractional regression models by Ana Isabel Martins

“…The application of regression for proportions, more appropriate than traditional linear and Tobit regressions, to deal with the fractional nature of the DEA scores, allowed the identification of efficiency determinant factors for the main banks operating in Portugal. …”
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Identification of nonlinear structural parameters based on particle filtering algorithm by Dandan Xia, Wanghua Yu, Li Lin

“…Considering both the accuracy of identification results and the efficiency of the process, the best performance is achieved when N = 150 in this simulation. …”
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Real-Time Visual Identification System to Assess Maturity, Size, and Defects in Dragon Fruits by Lambert Marc A. Cometa, Robert Kobe T. Garcia, Mary Ann E. Latina

“…Advanced deep learning models (EfficientNet and YOLOV8) were trained on a diverse dataset of dragon fruit images collected from online sources and a local farm using DSLR and smartphone cameras. …”
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Ultra-lightweight tomatoes disease recognition method based on efficient attention mechanism in complex environment by Wenbin Sun, Zhilong Xu, Kang Xu, Lin Ru, Ranbing Yang, Rong Wang, Jiejie Xing

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Identification and validation of the fibrosis-related molecular subtypes of hepatocellular carcinoma by bioinformatics by Ling-li Liu, Wei-lin Cao, Jian-sheng Chen, Jian-ping Wang

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A Dynamic Early Warning Model for Flash Floods Based on Rainfall Pattern Identification by Wenlin Yuan, Bohui Jing, Hongshi Xu, Yanjie Tang, Shuaihu Zhang

“…Subsequently, the dynamic flood early warning model was proposed based on the real-time correction of rainfall patterns and flooding simulation by the HEC-HMS (Hydrologic Engineering Center’s Hydrologic Modeling System) model. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…Abstract In view of the network security risks caused by the integration of the Industrial Internet of Things (IIoT) in the construction of smart cities, this research proposes a digital security identification model (DL-DSIM) based on deep learning, which aims to improve the data transmission efficiency and system security in the smart city environment. …”
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Co-Optimization of Vibration Suppression and Data Efficiency in Robotic Manipulator Dynamic Modeling by Xiaowei Han, Kunru Wu, Nanmu Hui

“…Moreover, by integrating PSO-based hyperparameter optimization and trajectory design with sufficient excitation, the proposed method enhances data efficiency during the identification process, offering a novel and practical identification strategy for precise modeling and control of complex mechanical systems.…”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

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A UNet Model for Accelerated Preprocessing of CRISM Hyperspectral Data for Mineral Identification on Mars by P. Kumari, S. Soor, A. Shetty, A. M. Nair

“…The preprocessed spectra are subsequently classified using MICAnet, a deep learning model for Martian mineral identification. Evaluation on labeled CRISM TRDR data demonstrates that the proposed approach achieves competitive accuracy while significantly enhancing preprocessing efficiency. …”
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