Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…To address the dual challenges of excessive energy consumption and operational inefficiency inherent in the reliance of current agricultural machinery on direct supervision, this study developed an enhanced YOLOv8n-SS pedestrian detection algorithm through architectural modifications to the baseline YOLOv8n framework. The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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Antioxidant Capacity of Cultured Mammalian Cells Estimated by ESR Method by Tamar Kartvelishvili, Marina Abuladze, Nino Asatiani, Joseph Akhvlediani, Lali Asanishvili, Hoi-Ying N. Holman, Nelly Sapojnikova

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Robust Grey Relational Analysis-Based Accuracy Evaluation Method by Kang Zheng, Jie Fang, Jieqi Li, Haoran Shi, Yufan Xu, Rui Li, Ruihang Xie, Guobiao Cai

“…To address these shortcomings, this paper proposes a robust grey relational analysis-based accuracy evaluation method (RGRA-AEM). The methodology incorporates the expected penetration rate to facilitate interpolation computation and employs deviation acceptability as a distance threshold indicator. …”
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Transient Oscillation Suppression Method of Modular Multilevel DC Transformer by Dan Lyu, Yichao Sun, Yufan Li, Jianfeng Zhao, Zhendong Ji, Dongye Li

“…Extensive simulation results from a realistically designed MMDCT model in PSIM validate the feasibility and effectiveness of the proposed transient oscillation suppression method.…”
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Research on elimination method of abnormal power data of wind turbine by YANG Xinyue, JING Bo, MEI Zhigang, QIAN Zheng

“…The results show that the proposed method is optimal and has a good effect on eliminating both the middle accumulation points and discrete points.…”
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Research on SED-UNet Segmentation Method for Neck Ultrasound Image by LIU Mingzhu, FU Cong, SONG Shijie, ZHAO Shoubo

“… Ultrasound image is one of the commonly used medical diagnosis methods. Manual interpretation of ultrasound image largely depends on doctors ′ subjective experience and knowledge, which is time-consuming and labor-consuming, and is difficult to meet the needs of rapid and batch clinical diagnosis. …”
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Siting and Sizing Method of GFM Converters Based on Genetic Algorithm by Wentao Sun, Yi Ge, Guojing Liu, Hui Cai, Quanquan Wang, Xingning Han, Wanchun Qi

“…Additionally, a strategic approach to optimal location selection and sizing of these substations aimed at enhancing the SCR within new energy grids is proposed, with the model being solved through genetic algorithms. Finally, the effectiveness of the proposed method is verified based on the IEEE39-node system and a real new energy station. …”
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A Mainlobe Interference Suppression Method for Small Hydrophone Arrays by Wenbo Wang, Ye Li, Luwen Meng, Tongsheng Shen, Dexin Zhao

“…Simulations and experiments demonstrate the effectiveness of this method in mainlobe interference scenarios.…”
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Research on bearing fault diagnosis based on a multimodal method by Hao Chen, Shengjie Li, Xi Lu, Qiong Zhang, Jixining Zhu, Jiaxin Lu

“…These findings highlight the effectiveness of MTSF-FM in analyzing complex vibration data and propose a novel method for bearing fault diagnosis.…”
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EEG Data Augmentation Method Based on the Gaussian Mixture Model by Chuncheng Liao, Shiyu Zhao, Xiangcun Wang, Jiacai Zhang, Yongzhong Liao, Xia Wu

“…Experiments on public datasets show that this method effectively retains the original data’s spatiotemporal and distribution characteristics. …”
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Ranking of Bridge Design Alternatives: A TOPSIS-FADR Method by Mehdi Keshavarz-Ghorabaee, Maghsoud Amiri, Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jurgita Antuchevičienė

“…The proposed method uses an area-based deviation ratio to determine the degree of difference between alternatives and reference solutions of the Technique for Order of Preference by Similarity to Ideal Solution method. …”
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Fault Diagnosis Method of Forging Press Based on Improved CNN by Chao Yuan, Yunhan Ling, Nan Zhang, Yong Yang, Lidong Pan, Chong Han, Yeyingnan Cao, Hao Zhang, Peng Nie, Hui Ma

“…This method effectively integrates multi-sensor information fusion technology, attention mechanism, CNN, PCA technology and TSVM, fully utilizing data collected from various sensors of the forging press. …”
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TDV-optimization: A novel numerical method for phytosociological tabulation by Tiago Monteiro-Henriques

“…By leveraging the distribution of species absences among groups, this method effectively quantifies the differential power and distinguishes differential from non-differential species. …”
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Extraction and discrimination of tobacco leaf shape based on landmark method by ZHONG Peige, ZHOU Yeying, ZHANG Yan, SHI Yi, GUO Yan, LI Baoguo, MA Yuntao

“…The effect of the landmark method on leaf shape information extraction is better than the common leaf shape indicators, which provides a new idea for the automated extraction of leaf shape information.…”
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Panoptic Segmentation Method Based on Feature Fusion and Edge Guidance by Lanshi Yang, Shiguo Wang, Shuhua Teng

“…Panoptic segmentation, a pivotal research direction in computer vision, unifies pixel-level object and background recognition within a scene, crucial for applications like autonomous driving. However, existing methods, including State-of-the-Art models like Mask2Former, often exhibit limitations such as inadequate adaptation in multi-scale feature fusion and ambiguous boundary segmentation, particularly for small objects in complex scenes. …”
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Sequence-Information Recognition Method Based on Integrated mDTW by Boliang Sun, Chao Chen

“…Experimental results demonstrate that our proposed method outperforms existing state-of-the-art models in handwriting character recognition, achieving a top-1 accuracy of 98.5% and a top-3 accuracy of 99.3%, thus confirming its effectiveness in overcoming the limitations of traditional deep-learning models in temporal sequence processing.…”
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Deep Exponential Moving Average Learning Method for Sequential Recommendation by WEN Wen, HU Zhixin, HAO Zhifeng

“…To solve these two problems, this paper proposes a deep exponential moving average based learning method for sequential recommendation (DeepEMA). In order to solve the noise problem in user interaction sequences, DeepEMA uses the exponential moving average method in the field of time series to smooth the sequences, filter the noise and initially extract the sequence trend. …”
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Impact of a Surgical Site and an Anesthetic Method on Hemostatic Disorders by P. A. Lyuboshevsky, A. V. Zabusov, N. I. Artamonova

“…Objective: to study hemostatic changes during abdominal operations in relation to the mode of anesthesia, as well as the lower incidence of perioperative hemostatic complications. Subjects and methods. Two hundred patients were examined during elective high-traumatic abdominal operations in relation to the surgical site (the upper or lower abdomen) and anesthetic method (total intravenous anesthesia alone or in combination with epidural (prolonged) or spinal anesthesia). …”
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Methodic recommendations for measuring underwater noise of research and commercial vessels by M. Yu. Kuznetsov, V. I. Polyanichko, I. A. Ubarchuk, V. I. Shevtsov

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Advanced Financial Fraud Malware Detection Method in the Android Environment by Jaeho Shin, Daehyun Kim, Kyungho Lee

“…Five ML algorithms were used to evaluate the proposed approach, and the optimal hyperparameter values for each algorithm were obtained using a grid search method. We then evaluated the models using common evaluation metrics, such as accuracy, precision, recall, F1-Score, etc. …”
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