Variability and repeatability of personalized rTMS targeting methods combining repeated fMRI scans and electric field simulations by He Wang, Jingna Jin, Xin Zhang, Qing Jiao, Dong Cui, Zhipeng Liu, Tao Yin

“…Averaging data across multiple rs-fMRI scans yields more reliable and stable rTMS targeting, producing a more consistent electric field at the targeted cortical area.…”
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NATIONAL TECHNOLOGICAL INITIATIVE: EVALUATION OF PERSPECTIVES OF RUSSIA'S TECHNOLOGICAL LEADERSHIP by N. G. Kurakova, A. N. Petrov

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Subsea Nodule Recognition and Deployment Detection Method Based on Improved YOLOv8s by Jixin Li, Junchao Li, Bin Su, Yuxin Cui

“…These modifications enhance feature extraction capabilities in the presence of uneven lighting and background interference, optimizing nodule segmentation in complex backgrounds and improving small-target detection performance. Experimental results demonstrate that the improved YOLOv8s model offers significant advantages in terms of detection accuracy and robustness, achieving precision, recall, and mean average precision rates of 94.88%, 93.89%, and 96.2%, respectively. …”
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Wind Turbine Surface Crack Detection Based on YOLOv5l-GCB by Feng Hu, Xiaohui Leng, Chao Ma, Guoming Sun, Dehong Wang, Duanxuan Liu, Zixuan Zhang

“…The experimental results indicate that the precision, recall, F1 score, and mean average precision of YOLOv5l-GCB reach 91.6%, 99.0%, 75.0%, and 84.6%, which are 4.7%, 2%, 1%, and 10.4% higher than that of YOLOv5l, and it can accurately recognize multiple types of cracks, with an average number of 28 images detected per second, which improves the detection speed.…”
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Cognitive waveform design for radar-communication transceiver networks by Yu YAO, Yanjie LI, Lenan WU, Pu MIAO, Xiaoyu TANG

“…The system architecture for cognitive radar-communication (CRC) transceiver was proposed.A cognitive waveforms design approach, which is suitable for simultaneously performing both data communication and target detection was presented.This approach aims at estimating target scattering coefficient (TSC) from the radar scene and facilitating high-data-rate communications.In order to minimize the mean square error (MSE) of the TSC, a convex cost function was established.The peak to average power ratio (PAPR)-constrained optimal solution was achieved by applying the Kalman filtering-based strategy to design the set of ultra-wideband (UWB) transmission pulses and embed into them the information data with the M-ary position phase shift keying modulation technique.In addition to theoretical considerations, the simulation results show an improvement in TSC estimation and target detection probability as the number of iterations increases, while still transmitting data rates in the range of several Mbit/s with low bit error rates between CRC transceivers.…”
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Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models by Vesna Karadzic, Bojan Pejovic

“…In the countries of the Western Balkans the targeting policy is not implemented in the same way and the NNAR models are better for inflation forecasting…”
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Analysis of the characteristics of injury deaths and its disease burden in Taizhou City， Zhejiang Province from 2009 to 2022 by QIAO Dongju, WANG Liangyou, JIA Chaonan, ZHANG Yan, CHEN Xiaoxiao

“…It is necessary to take targeted injury prevention and intervention measures for different key population groups to effectively reduce the disease burden caused by injury deaths.…”
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Thyroid nodule detection and influencing factors in male coal mine workers in Shanxi Province by Mengtian XIONG, Yingjun CHEN, Yingtong CHEN, Zeyuan ZHANG, Qiang LI, Gaisheng LIU, Liuquan JIANG, Qingsong CHEN

“…The results of logistic regression showed that the duration of exposure to occupational hazards for 11-20 years, 21-30 years, ≥31 years, average monthly working>26 days, and shift work were positively correlated with the detection of thyroid nodules (P<0.05), and the associated ORs (95%CIs) were 1.29 (1.01, 1.65), 1.55 (1.20, 1.99), 1.68 (1.26, 2.55), 1.19 (1.00, 1.40), and 1.15 (1.02, 1.29), respectively.ConclusionThe duration of exposure to occupational hazards, average monthly working days, and shift work are influencing factors of thyroid nodules. …”
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Attention-Based Target Detection–You Only Look Once: A Detection Model for <i>Locusta migratoria</i> ssp. <i>manilensis</i> in Complex Environments by Peng Wang, Jiandong Fang, Xiuling Wang, Yudong Zhao

“…Aiming at the problem of false detection and missed detection caused by locust occlusion and background similarity in complex field environments, this paper proposes a lightweight Attention-based Target Detection (ATD) model while constructing the dataset Real-Locust with the theme of <i>Locusta migratoria</i> ssp. …”
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Early Wildfire Smoke Detection Method Based on EDA by Yang Liu, Faying Chen, Changchun Zhang, Yuan Wang, Junguo Zhang

“…Early wildfire smoke detection faces challenges such as limited datasets, small target sizes, and interference from smoke-like objects. …”
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A Deep Learning-Based Method for Object Workpiece Recognition and Grasp Detection by Yunhan Li, Jingjing Lou, Zhiduan Cai, Chuan Ye, Ruichao Zhao, Yuhang Jiang

“…Finally, robot modeling and control are implemented within the ROS system to guide the robot in precisely grasping and placing the target object. Experimental results demonstrate that the proposed method effectively handles the interference caused by uneven lighting, achieving a recognition accuracy of 92.2% and an overall average grasping success rate of 93.75%, confirming the feasibility and effectiveness of the approach.…”
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MAS-YOLO: A Lightweight Detection Algorithm for PCB Defect Detection Based on Improved YOLOv12 by Xupeng Yin, Zikai Zhao, Liguo Weng

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An Approach for Detecting Tomato Under a Complicated Environment by Chen-Feng Long, Yu-Juan Yang, Hong-Mei Liu, Feng Su, Yang-Jun Deng

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SER-DC YOLO for the Detection of Abnormal Cervical Cells by LI Chaowei, YANG Xiaona, ZHAO Siqi, HE Yongjun

“…To solve this challenge，a target detection network called SE-ResNet-Deformable Convolution You Only Look Once( SER-DC YOLO) is proposed. …”
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Development of a pulsed laser deposition system suitable for radioactive thin films growth by Noé Gabriel Pinheiro Machado, Frederico Antonio Genezini, Marcus Paulo Raele

“…The PLD system was then implemented and radioactive copper targets were processed for 60 min and 120 min, resulting in radioactive thin films with an average thickness of (167.8 ± 3.7) nm and (313.5 ± 9.2) nm, respectively. …”
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Robust face mask detection in complex scenarios using YOLOv8 and context-aware convolutions by Yingjie Wei, Huili Li, Yuanfei He, Li Li, Qiongshuai Lyu, Yu Yang

“…To improve the transmission of fine-grained face mask features within the network, we introduce context-aware convolutions in the Neck module, which facilitates the integration of contextual semantic information and enriches the feature details of small targets. Building on this, we design an enhanced detection head, DAM-Head, which amplifies target saliency and improves both target recognition and localization accuracy. …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

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Tower view object detection based on ECIOU structure embedded in YOLO by QIAN Jide, YAN Hao, LIANG Yan, ZENG Changchang, MOU Yihao

“…In view of the problems that the existing tower view target detection system is prone to large positioning deviation and low small target detection accuracy，this paper proposes an aircraft target detection method based on the ECIOU structure embedded in the YOLO v8 model from the tower view to improve the accuracy and efficiency of detection. …”
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An Improved YOLOv9s Algorithm for Underwater Object Detection by Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He

“…To solve these problems, the YOLOv9s-SD underwater target detection algorithm is proposed to improve the detection performance in underwater environments. …”
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YOLOv8s-Longan: a lightweight detection method for the longan fruit-picking UAV by Jun Li, Jun Li, Jun Li, Kaixuan Wu, Meiqi Zhang, Hengxu Chen, Hengyi Lin, Yuju Mai, Linlin Shi

“…To make the network lightweight and improve its generalization performance, the Average and Max pooling attention (AMA) attention module is designed and integrated into the DenseAMA and C2f-Faster-AMA modules on the proposed backbone network. …”
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