Parameter estimation of power system wideband oscillation based on Zoom FFT and relaxation algorithm by Shuang Feng, Yue Mei, Zhirui Zhang, Jiaxing Lei, Yi Tang

“…The widespread use of power electronic devices has resulted in frequent wideband oscillation events, making accurate and rapid parameter estimation critical. However, existing methods face significant challenges in balancing resolution and identification speed, especially for signals with broad frequency ranges, pronounced time-varying characteristics, and noise interference. …”
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Research on leaf identification of table grape varieties based on deep learning by PAN Bowen, LIN Meiling, JU Yanlun, SU Baofeng, SUN Lei, FAN Xiucai, ZHANG Ying, ZHANG Yonghui, LIU Chonghuai, JIANG Jianfu, FANG Yulin

“…[Results] Through fair comparison of all convolutional neural networks, under optimal parameters, ResNet-101 performed best in the identification of table grapes, with an accuracy of 97.13%, ResNet-50 was slightly lower, with an accuracy of 97.06%, and VGG-16 and GoogleNet models had an accuracy of less than 95%. …”
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Efficient impact load identification method using empirical mode decomposition by LIU Ling, YANG Xiaoming, ZHANG Li

“…Aiming at the problems of traditional impact load identification methods, such as the requirement for a large number of sensors, high sampling frequency, and low identification accuracy, a new impact load identification method based on empirical mode decomposition (EMD) technology was proposed.The EMD technology was used to decompose the complete impact response to obtain the modal acceleration response. …”
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Machine learning-based prediction of celiac antibody seropositivity by biochemical test parameters by Signe Ulfbeck Schovsbo, Michael Charles Sachs, Margit Kriegbaum, Anne Ahrendt Bjerregaard, Line Tang Møllehave, Susanne Hansen, Bent Struer Lind, Tora Grauers Willadsen, Allan Linneberg, Christen Lykkegaard Andersen, Line Lund Kårhus

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A Method of Trackside Kilometer Post Identification Combined with YOLOv3 Model by QIU Xinhua, WANG Wenkun, JI Yuwen, LI Jia

“…In view of poor anti-interference ability and weak generalization of the present trackside identification method, it is unable to adapt to complex background fluctuation along railway. …”
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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model by Waqar Khalid, Yazeed Alkharijah, Syed Muhammad Usman, Shehzad Khalid

“…Accurate identification of wheat diseases is an essential component for increasing crop yields and guaranteeing global food security. …”
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A Method for Early Identification of Vessels Potentially Threatening Critical Maritime Infrastructure by Miroslaw Wielgosz, Marzena Malyszko

“…Data on vessels is collected from the AIS (automatic identification system) and platforms that store vessel history. …”
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Intelligent Identification and Prediction of Roof Deterioration Areas Based on Measurements While Drilling by Jing Wu, Zhi-Qiang Zhao, Xiao-He Wang, Yi-Qing Wang, Xiao-Xiang Wei, Zhi-Qiang You

“…To achieve timely and effective support for roadways, it is essential to utilize drilling measurement signals obtained during the construction of anchorage holes for the identification and prediction of these deterioration zones. …”
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Understanding the regulation of aspartate metabolism using a model based on measured kinetic parameters by Gilles Curien, Olivier Bastien, Mylène Robert‐Genthon, Athel Cornish‐Bowden, María Luz Cárdenas, Renaud Dumas

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Effect of 3D Printing Parameters on the Transparency of Medical Hydrogels for Corneal Stroma Fabrication by Qiang Gao, Kaicheng Yu, Youyun Shang, Zexue Lin, Min Zhu, Lihua Lu, Tao Jiang, Peng Zhang

“…A series of controlled experiments were conducted to systematically investigate the influence of key process parameters on hydrogel transparency. The findings enabled the identification of an optimized parameter set that significantly improved the optical properties of the 3D-printed biomimetic corneal stroma. …”
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Correlating anthropometric parameters with lower limb muscle strength: on the example of female volleyball players by Bharathi Palani, Yeddanapalli Chinniah Louis Raj, Swamynathan Sanjaykumar

“…These findings underscore the importance of considering a holistic array of anthropometric parameters, lower limb muscle strength, in talent identification and training program design in women's volleyball…”
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WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA by MUSEDIQ ADEDOYIN SULAIMAN, IGNATIUS KEMA OKAKWU, AKINTUNDE SAMSON ALAYANDE, OLAKUNLE ELIJAH OLABODE, AUGUSTUS EHIREMEN IBHAZE

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Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering by Bo Xu, Chunjiang Zhao, Guijun Yang, Yuan Zhang, Changbin Liu, Haikuan Feng, Xiaodong Yang, Hao Yang

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Current status of the laboratory diagnosis of anthrax: detection and identification of <i>Bacillus anthracis</i> by L. V. Sayapina, R. N. Lobach, V. P. Bondarev, N. F. Nikityuk

“…The article presents data on the development of culture media for isolation and identification of anthrax, as well as the possibility of using anthrax bacteriophage for phage-based indication and identification of bacteria.…”
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Identification of generators’ market power abuse based on hunter–prey optimisation and CatBoost by Qian Sun, Shan Deng, Yunyong Zhang, Jiayu Zhong, Yansong Wu

“…We then construct an ensemble framework using CatBoost as the base classifier and apply a hunter–prey optimisation (HPO) algorithm to fine-tune its initial parameters and boost classification performance. Finally, we validate the method on spot-market data from a regional Chinese electricity market, achieving an identification accuracy of 98.29%. …”
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The Role of Biochemical and Hematological Parameters in Urethral Stricture Recurrence: Inflammation Indexes and De Ritis Rate by Serkan ÖZCAN, Kürşad DÖNMEZ, Enis Mert YORULMAZ, Osman KÖSE, Sacit Nuri GÖRGEL, Yiğit AKIN

“…Clinical data, hematological, and biochemical parameters were analyzed, and the prognostic value of SII and De Ritis ratio (AST/ALT) was assessed using statistical methods. …”
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Research on green supply chain finance risk identification based on two-stage deep learning by Ying Liu, Sizhe Li, Chunmei Yu, Mingli Lv

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IDENTIFICATION OF PATIENTS WITH FAMILIAL HYPERCHOLESTEROLEMIA IN THE RUSSIAN POPULATION USING THE EXAMPLE OF MOSCOW CITY AND MOSCOW REGION by I. V. Sergienko, A. A. Ansheles

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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…Abstract Accurate identification of Oudemansiella raphanipes growth stages is crucial for understanding its development and optimizing cultivation. …”
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Research on Adaptive Identification Technology for Rolling Bearing Performance Degradation Based on Vibration–Temperature Fusion by Zhenghui Li, Lixia Ying, Liwei Zhan, Shi Zhuo, Hui Li, Xiaofeng Bai

“…The experimental results demonstrated that the proposed method outperformed traditional vibration-based life-stage identification approaches.…”
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