PerGOLD: Identification of offensive language in Persian tweets: leveraging crowdsourcing by Fatemeh Jafarinejad, Marziea Rahimi, Maryam Khodabakhsh, Seyedehfatemeh Karimi

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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

“…The parameter of a direct methanol fuel cell (DMFC) can be identified using optimization techniques to determine the optimal unknown parameter values that are needed for creating an accurate fuel cell performance prediction model. This research is motivated by the fact that parameter identification process is necessary since manufacturers’ datasheets may not always provide these parameters to users. …”
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Identification of cepharanthine as an effective inhibitor of African swine fever virus replication by Chuanxiang Qi, Jiyoung Lee, Yongqiang Zhang, Huan Chen, Jiaxuan Lv, Zhenzhong Wang, Jinming Li, Xiaodong Wu, Yong-Sam Jung, Zhiliang Wang, Yingjuan Qian

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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…This study aims to exploit the high precision and efficiency of deep learning to develop a system for the identification of pollen. …”
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Identification of the governing equation of stimulus-response data for run-and-tumble dynamics. by Shicong Lei, Yu'an Li, Zheng Ma, Hepeng Zhang, Min Tang

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Image Recognition Technology in Texture Identification of Marine Sediment Sonar Image by Chao Sun, Li Wang, Nan Wang, Shaohua Jin

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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification by Xingguo Jiang, Ling Yu, Guojun Lin, Yuchao Zhang

“…Second, in order to solve the excessive attention of the model to the features of some regions and thus the overfitting phenomenon, the part mask attention (PMA) module is designed to limit the scope of the attention mechanism and improve the computational efficiency. …”
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Revival of Muslin by Phuti Karpas plant identification with convolution neural network by Redwan Ahmed Rizvee, Omar Farrok, Mahamudul Hasan, Faisal Farhan, Md Hafanul Islam, Md Khalid Hasan, Abidur Rahman, Maheen Islam, Md Sawkat Ali, Taskeed Jabid, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam

“…A unique dataset of 2354 leaf images was curated, with two main classes: Phuti Karpas and Non Phuti Karpas, the latter including 14 other plant types to enhance model robustness. Each model was evaluated on metrics like accuracy, precision, recall, computational time, and memory efficiency. …”
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Identification and classification of solid–liquid flow patterns in deviated and horizontal annuli by Di Yao, Xiaofeng Sun, Jingyu Qu

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Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

“…Furthermore, to enhance both training efficiency and parameter optimization capabilities of the model, we introduce a Multi-strategy Improved Coati Optimization Algorithm (MSCOA). …”
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Reliable identification method of intrusion personnel in front of underground moving equipment by Bin LIANG, Guang LI, Guangpeng SHAN

“…Then, a reliable identification method of underground personnel based on YOLOv5s is proposed, and the visible light and infrared dual-modal features are combined to fuse and complement each other, and an end-to-end single-stage detection model of intrusive personnel in front of underground moving equipment is constructed, which realizes the reliable detection of intrusive personnel in front of underground moving equipment. …”
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Identification of risk factors for diabetes in Chinese middle-aged and elderly adults by Shuzhen Ma, Qianqian Sun, Yanqi Xu, Qiang Tu, Simao Xu

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Research Progress on Identification and Extraction Methods of Soil and Water Conservation Measures by TIAN Pei, REN Yiling, CHEN Yan

“…Artificial intelligence combined with big data technology is the development direction of efficient and accurate identification and extraction of soil and water conservation measures in the future. …”
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Application of attention mechanism-based LSTM neural network in stratigraphy identification by Cunde Jia, Xiangdong Kong, Minghui Wang, Zhuowei Yu, Haipeng Li, Yunhong Jiang, Jianliang Hu, Chao Ai

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Intelligent identification of Cenozoic spore and pollen fossils in Bohai Sea area by Leilei SHUI, Kunqi QIU, Huan WAN, Shengli GONG, Wenkai LU, Wenyan WEI, Yonghao WANG, Yongzhao YU

“…The system could assist in the manual identification of paleontological fossils. By effectively combining various deep learning techniques with specialized knowledge in paleontology, the generalization ability and recognition accuracy of the identification model were improved from both data and model perspectives. …”
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Structural Damage Identification Based on Rough Sets and Artificial Neural Network by Chengyin Liu, Xiang Wu, Ning Wu, Chunyu Liu

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Improved Tikhonov regularization method for load identification and structural response reconstruction by GAO Kele, YIN Hong, PENG Zhenrui

“…To improve the accuracy and efficiency of load identification and structural response reconstruction, an improved Tikhonov regularization method that simultaneously considers transfer matrix error and measurement error was proposed. …”
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Double array system identification research based on LSTM neural network by Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

“…The earthquake simulation shaking table array is an important experimental equipment with a wide range of applications in the field of earthquake engineering. To efficiently address the complex nonlinear problems associated with earthquake simulation shaking array systems, this paper proposes the identification of the earthquake simulation shaking array system using the Long Short-Term Memory (LSTM) algorithm. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…To address this issue, an encrypted traffic identification scheme based on sliding windows and randomness features was designed to efficiently and accurately identify encrypted traffic. …”
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