A Method for Real-Time Vessel Speed Measurement Based on M-YOLOv11 and Visual Tracking by Zhe Ma, Qinyou Hu, Yuezhao Wu, Wei Wang

“…To address this challenge, this paper proposes a vessel speed detection method based on target detection and tracking to acquire vessel speed in real time. …”
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REAL-WORLD AMBULATORY AND CLINICAL MANAGEMENT OF HIGH-RISK PATIENTS WITH ARTERIAL HYPERTENSION by S. V. Mal’chikova, E. I. Tarlovskaya

“…During the hospitalization, target BP levels were achieved in 97,5%, at Day 9 on average. …”
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An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography by Jia-Ru Lin, Tai-Yuan Chen, Yu-Syuan Liang, Jyun-Jie Li, Ming-Chung Chou

“…Five ML models were trained using the training set with 10-fold cross validation, and the model performance was evaluated using the testing set with correlation coefficients, root–mean–square error, and mean average error. The phantom study showed that the average REX was 355.6 which served as the target exposure indicator. …”
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Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II by Qingqing Zhang, Guobao Jin, Guanghui Dai

“…The extrusion experiment results, taking three microtubes with different target size characteristics (1, 0.15), (1, 0.2), and (1.5, 0.2) as examples, show that the average error between the actual and predicted values of diameter and wall thickness of three microtubes is 6.53%, where the average diameter error is 7.3%, the wall thickness error is 5.77%, the maximum value is 9%, and the minimum value is only 1.3%.…”
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Robot multi-target high performance grasping detection based on random sub-path fusion by Bin Zhao, Lianjun Chang, Chengdong Wu, Zhenyu Liu

“…In real-world scenarios, the robot achieved an average grasping success rate of 94.31%. These results demonstrate the excellent performance and robustness of RSPFG-Net when it comes to multi-target grasping problems.…”
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A longan-picking sequence planning method for UAV system based on multi-target tracking by Kaixuan Wu, Meiqi Zhang, Linlin Shi, Hengxu Chen, Yuju Mai, Mingda Luo, Hengyi Lin, Jun Li

“…First, a specialized lightweight target detection algorithm, YOLOv8s-Longan, is developed to achieve high-precision target localization and facilitate lightweight model deployment. …”
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Green synthesis of silica-coated gold nanoparticles employing femtosecond laser, solid targets, and water by N. G. P. Machado, M. P. Raele, E. Jimenez-Villar, W. de Rossi

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Robust ensemble classifier for advanced synthetic aperture radar target classification in diverse operational conditions by Noor Rahman, Muzammil Khan, Imran Khan, Jawad Khan, Youngmoon Lee

“…ResNet demonstrated better performance with average accuracies of 92.67% under SOC and 88.9% under EOC, showing consistent results across all six target classes, as compared to the CNN-based ensemble approach with average accuracies of 90.30% under SOC and 87.22% under EOC. …”
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Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection by Qingwei Liu, Yugang Tian, Lihao Zhang, Bo Chen

“…The results showed that SSWE achieved the highest accuracy compared with other methods, with an average OA of 98.91% and an average kappa coefficient of 0.942. …”
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Evaluating the domains of generalism and equity, diversity and inclusion in preclinical simulated cases for targeted curricular improvements by Thomas Soroski, Kuda Hove, Lisa Steblecki, Jaime C. Yu

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A Voronoi-Based Sensor Handover Protocol for Target Tracking in Distributed Visual Sensor Networks by Tien-Wen Sung, Chu-Sing Yang

“…The simulation result shows the benefits of our proposed approach in terms of target-detected latency, target-tracked ratio, and average target distance, which indicates that the quality of target tracking service can be improved with the proposed approach for visual sensor networks.…”
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Study of Large-Scale Aluminium-Doped Zinc Oxide Ceramic Targets Prepared by Slip Casting by Ling-yun Han, Yong-chun Shu

“…The results showed that the relative density of the AZO target prepared with 45 nm particles could reach nearly 98% at 1380°C; the resistivity of the AZO target prepared with nanometre particles could be as low as 1.6 × 10−3 Ω·cm at 1400°C; and the average transmittance of the AZO film prepared with nanometre particles could reach a maximum value of 93.73% in the visible region at 250 W. …”
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Lightweight multidimensional feature enhancement algorithm LPS-YOLO for UAV remote sensing target detection by Yong Lu, Minghao Sun

“…Abstract Detecting small targets in UAV remote sensing images is challenging for traditional lightweight methods due to difficulty in feature extraction and high background interference. …”
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Role of white rot fungi in sustainable remediation of heavy metals from the contaminated environment by Vipin Kumar Singh, Rishikesh Singh

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Automatic Disease Detection from Strawberry Leaf Based on Improved YOLOv8 by Yuelong He, Yunfeng Peng, Chuyong Wei, Yuda Zheng, Changcai Yang, Tengyue Zou

“…Furthermore, a parameter-sharing diverse branch block (DBB) sharing head is constructed to improve the model’s target processing ability at different spatial scales and increase its accuracy without adding too much calculation. …”
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Predicting TF–Target Gene Association Using a Heterogeneous Network and Enhanced Negative Sampling by Thanh Tuoi Le, Xuan Tho Dang

“…Identifying interactions between transcription factors (TFs) and target genes is crucial for understanding the molecular mechanisms involved in biological processes and diseases. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

“…Finally, an enhanced feature fusion network is designed to improve detection performance for tiny vehicle targets. Comprehensive evaluations on the VisDrone2019 and UA-DETRAC datasets demonstrate that, compared to YOLOv9s model, RL-Net achieves a 34.5% reduction in parameters, a 4.4% reduction in computations, a 30.8% increase in Frames Per Second (FPS), and improvements of 2.5% in mean Average Precision (mAP) and 2% in recall, effectively balancing detection efficiency and performance.…”
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Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…The support vector machine was used to classify sliding windows to obtain windows where pigs were located, and the non-maximum suppression algorithm was used to eliminate redundant windows to complete the target detection. The experiments showed that the proposed algorithm blending gradient and gray distribution features had a higher recall rate than the BING algorithm. …”
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Optimization of Allocation and Launch Conditions of Multiple Missiles for Three-Dimensional Collaborative Interception of Ballistic Targets by Burak Yuksek, N. Kemal Ure

“…We consider the integrated problem of allocation and control of surface-to-air-missiles for interception of ballistic targets. Previous work shows that using multiple missile and utilizing collaborative estimation and control laws for target interception can significantly decrease the mean miss distance. …”
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A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

“…In order to more accurately and quickly identify and count underwater fish targets, and to address the issues of excessive reliance on manual processes and low processing efficiency in the identification and counting of fish targets using sonar data, a method based on DIDSON and YOLOv5 for fish target identification and counting is proposed. …”
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