Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

“…Overall, the DENS-INCEP model offers a robust and efficient solution to rice variety identification, addressing global food security challenges while promoting sustainability.…”
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Nonlinear System Identification of Folding Fins with Freeplay Using Direct Parameter Estimation by Zhi-Sai Ma, Bo Wang, Xin Zhang, Qian Ding

“…The problem of nonlinear system identification of folding fins with freeplay is considered in this paper. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…The efficient malware identification method developed can cope with the constantly evolving malware threats.…”
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Automatic Identification and Segmentation of Overlapping Fog Droplets Using XGBoost and Image Segmentation by Dongde Liao, Xiongfei Chen, Muhua Liu, Yihan Zhou, Peng Fang, Jinlong Lin, Zhaopeng Liu, Xiao Wang

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Learning super-resolution and pyramidal convolution residual network for vehicle re-identification by Mengxue Liu, Weidong Min, Qing Han, Hongyue Xiang, Meng Zhu

“…Moreover, the concept of residual learning is applied between the multi levels of pyramidal convolution operations to expedite model optimization and enhance recognition capabilities. …”
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Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning by Abdul Razzaq, Sharaiz Shahid, Muhammad Akram, Muhammad Ashraf, Shahid Iqbal, Aamir Hussain, M. Azam Zia, Sulman Qadri, Najia Saher, Faisal Shahzad, Ali Nawaz Shah, Aziz-ur Rehman, Sven-Erik Jacobsen

“…In this research, we have developed an automatic system for stomata state identification and counting in quinoa leaf images through the transformed learning (neural network model Single Shot Detector) approach. …”
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Identification of Diagnostically Relevant Biomarkers in Patients with Coronary Artery Disease by Comprehensive Analysis by Wu Z, Mo S, Huang Z, Zheng B

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Research on Joint Stiffness Identification and Error Compensation of the Serial Six DOF Robot by Ping Rui, Guifang Qiao, Xiulan Wen, Ying Zhang, Dongxia Wang

“…Secondly，in order to improve the identification accuracy and efficiency of joint stiffness parameters, the BP neural network is applied to fit the stiffness error model to optimize the initial population fitness of genetic algorithm. …”
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Drilling Parameter Control Based on Online Identification of Drillability and Multi-Objective Optimization by Jianbo Dai, Xilu Yin, Yan Zhang, Lei Si, Dong Wei, Zhongbin Wang, Longmei Zhao

“…A control method based on the drillability identification model and the multi-objective optimization model is established. …”
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A matching design and parameter identification method of hybrid electric propulsion system by Bingjie Zhu, Yingtao Zhu, Qingyang Chen, Yafei Lu

“…To expedite the computation process, thrust and power demands are modelled as sectionally functional curves, which align with the matching design and parameter identification of the propulsion system, generator set, and batteries. …”
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Recursive Identification for Dynamic Linear Systems from Noisy Input-Output Measurements by Dan Fan, Kueiming Lo

“…However, the identification for EIV model is much complicated due to the input noises. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The influences of the levels and sources of measured data uncertainties as well as the boundary conditions on the identification results are investigated. The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.…”
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Intelligent Malfunction Identification Method in Mechanical Manufacturing Process Based on Multisensor Data by Meng Wang

“…In the process of malfunction identification of keyboard stroke machinery, the accuracy of malfunction identification results is low due to the influence of the identification model. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…Furthermore, a precise Digital Elevation Model (DEM) and Digital Surface Model (DSM) were created using 3D point clouds to assess building heights. …”
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BATRACIO: BAsic, TRAnslational, Clinical, Research Phase Identification in BiOmedical Publications by Nicolau Duran-Silva, Jorge Carrillo-de-Albornoz, Laura Plaza, Sara Ricardo, Francesco A. Massucci, Sonia Veiga, Arnau Ramos-Prats

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Dynamic Force Identification for Beamlike Structures Using an Improved Dynamic Stiffness Method by S.L. Chen, M. Géradin

“…In this study a procedure of dynamic force identification for beamlike structures is developed based on an improved dynamic stiffness method. …”
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An automated hybrid deep learning framework for paddy leaf disease identification and classification by Chatla Subbarayudu, Mohan Kubendiran

“…This research aims to design and propose a new automated model using a deep learning model for the disease identification and categorization of paddy leaves. …”
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An Extensible Gradient-Based Optimization Method for Parameter Identification in Power Distribution Network by Chuanjun Wang, Kehao Fei, Xinle Xu, Haoran Chen, Ke Hu, Shihe Xu, Jiayang Ma

“…Accurate parameter identification of power distribution network (PDN) has attracted remarkable attention recently. …”
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Nystromformer based cross-modality transformer for visible-infrared person re-identification by Ranjit Kumar Mishra, Arijit Mondal, Jimson Mathew

“…To bridge the modality gap, a cross-attention fusion block is introduced, where RGB and IR features interact and integrate second-order covariance statistics to model higher-order correlations. The fused features are subsequently refined through projection layers and optimized for re-identification using a classification head. …”
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Improving YOLOv11 for marine water quality monitoring and pollution source identification by Fang Wang

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