CBGS-YOLO: A Lightweight Network for Detecting Small Targets in Remote Sensing Images Based on a Double Attention Mechanism by Zhenyuan Wu, Di Wu, Ning Li, Wanru Chen, Jie Yuan, Xiangyue Yu, Yongqiang Guo

“…The experimental outcomes demonstrate that CBGS-YOLO outperforms other models when applied to the DB_Licenta and USOD datasets, significantly enhancing detection performance for small targets. Compared with YOLOv9, this model can reduce the number of parameters from 7.10 M to 5.12 M, and the average precision (mAP) is effectively improved. …”
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Influence of Mismatch of Parameters of Quadrature Channels on the Work of the Adaptive Selection System for Moving Targets by S. I. Ziatdinov

“…The paper considers the operation of an adaptive selection system for moving targets, represented by a one-time multi-period subtractor. …”
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The Role of Saturation Transperineal Biopsy in the Diagnosis of Prostate Cancer in the Era of Targeted Fusion Biopsies by A. A. Keln, A. V. Zyryanov, P. V. Zotov, A. V. Ponomarev, A. S. Surikov, V. G. Znobischev

“…The average number of biopsies was 25.Results and discussion. …”
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Strangeness production in s NN $$ \sqrt{s_{\textrm{NN}}} $$ = 3 GeV Au+Au collisions at RHIC by The STAR collaboration, M. I. Abdulhamid, B. E. Aboona, J. Adam, L. Adamczyk, J. R. Adams, I. Aggarwal, M. M. Aggarwal, Z. Ahammed, E. C. Aschenauer, S. Aslam, J. Atchison, V. Bairathi, J. G. Ball Cap, K. Barish, R. Bellwied, P. Bhagat, A. Bhasin, S. Bhatta, S. R. Bhosale, J. Bielcik, J. Bielcikova, J. D. Brandenburg, C. Broodo, X. Z. Cai, H. Caines, M. Calderón de la Barca Sánchez, D. Cebra, J. Ceska, I. Chakaberia, P. Chaloupka, B. K. Chan, Z. Chang, A. Chatterjee, D. Chen, J. Chen, J. H. Chen, Z. Chen, J. Cheng, Y. Cheng, W. Christie, X. Chu, H. J. Crawford, M. Csanád, G. Dale-Gau, A. Das, I. M. Deppner, A. Dhamija, P. Dixit, X. Dong, J. L. Drachenberg, E. Duckworth, J. C. Dunlop, J. Engelage, G. Eppley, S. Esumi, O. Evdokimov, O. Eyser, R. Fatemi, S. Fazio, C. J. Feng, Y. Feng, E. Finch, Y. Fisyak, F. A. Flor, C. Fu, C. A. Gagliardi, T. Galatyuk, T. Gao, F. Geurts, N. Ghimire, A. Gibson, K. Gopal, X. Gou, D. Grosnick, A. Gupta, W. Guryn, A. Hamed, Y. Han, S. Harabasz, M. D. Harasty, J. W. Harris, H. Harrison-Smith, W. He, X. H. He, Y. He, N. Herrmann, L. Holub, C. Hu, Q. Hu, Y. Hu, H. Huang, H. Z. Huang, S. L. Huang, T. Huang, Y. Huang, Y. Huang, T. J. Humanic, M. Isshiki, W. W. Jacobs, A. Jalotra, C. Jena, A. Jentsch, Y. Ji, J. Jia, C. Jin, X. Ju, E. G. Judd, S. Kabana, D. Kalinkin, K. Kang, D. Kapukchyan, K. Kauder, D. Keane, A. Khanal, Y. V. Khyzhniak, D. P. Kikoła, D. Kincses, I. Kisel, A. Kiselev, A. G. Knospe, H. S. Ko, J. Kołaś, L. K. Kosarzewski, L. Kumar, M. C. Labonte, R. Lacey, J. M. Landgraf, J. Lauret, A. Lebedev, J. H. Lee, Y. H. Leung, C. Li, D. Li, H-S. Li, H. Li, W. Li, X. Li, Y. Li, Y. Li, Z. Li, X. Liang, Y. Liang, R. Licenik, T. Lin, Y. Lin, M. A. Lisa, C. Liu, G. Liu, H. Liu, L. Liu, T. Liu, X. Liu, Y. Liu, Z. Liu, T. Ljubicic, O. Lomicky, R. S. Longacre, E. M. Loyd, T. Lu, J. Luo, X. F. Luo, L. Ma, R. Ma, Y. G. Ma, N. Magdy, D. Mallick, R. Manikandhan, S. Margetis, C. Markert, O. Matonoha, G. McNamara, O. Mezhanska, K. Mi, S. Mioduszewski, B. Mohanty, B. Mondal, M. M. Mondal, I. Mooney, J. Mrazkova, M. I. Nagy, A. S. Nain, J. D. Nam, M. Nasim, D. Neff, J. M. Nelson, M. Nie, G. Nigmatkulov, T. Niida, T. Nonaka, G. Odyniec, A. Ogawa, S. Oh, K. Okubo, B. S. Page, S. Pal, A. Pandav, A. Panday, A. K. Pandey, T. Pani, A. Paul, B. Pawlik, D. Pawlowska, C. Perkins, J. Pluta, B. R. Pokhrel, M. Posik, T. L. Protzman, V. Prozorova, N. K. Pruthi, M. Przybycien, J. Putschke, Z. Qin, H. Qiu, C. Racz, S. K. Radhakrishnan, A. Rana, R. L. Ray, R. Reed, C. W. Robertson, M. Robotkova, M. A. Rosales Aguilar, D. Roy, P. Roy Chowdhury, L. Ruan, A. K. Sahoo, N. R. Sahoo, H. Sako, S. Salur, S. Sato, B. C. Schaefer, W. B. Schmidke, N. Schmitz, F-J. Seck, J. Seger, R. Seto, P. Seyboth, N. Shah, P. V. Shanmuganathan, T. Shao, M. Sharma, N. Sharma, R. Sharma, S. R. Sharma, A. I. Sheikh, D. Shen, D. Y. Shen, K. Shen, S. S. Shi, Y. Shi, Q. Y. Shou, F. Si, J. Singh, S. Singha, P. Sinha, M. J. Skoby, N. Smirnov, Y. Söhngen, Y. Song, B. Srivastava, T. D. S. Stanislaus, M. Stefaniak, D. J. Stewart, Y. Su, M. Sumbera, C. Sun, X. Sun, Y. Sun, Y. Sun, B. Surrow, M. Svoboda, Z. W. Sweger, A. C. Tamis, A. H. Tang, Z. Tang, T. Tarnowsky, J. H. Thomas, A. R. Timmins, D. Tlusty, T. Todoroki, S. Trentalange, P. Tribedy, S. K. Tripathy, T. Truhlar, B. A. Trzeciak, O. D. Tsai, C. Y. Tsang, Z. Tu, J. Tyler, T. Ullrich, D. G. Underwood, I. Upsal, G. Van Buren, J. Vanek, I. Vassiliev, V. Verkest, F. Videbæk, S. A. Voloshin, G. Wang, J. S. Wang, J. Wang, K. Wang, X. Wang, Y. Wang, Y. Wang, Y. Wang, Z. Wang, J. C. Webb, P. C. Weidenkaff, G. D. Westfall, D. Wielanek, H. Wieman, G. Wilks, S. W. Wissink, R. Witt, J. Wu, J. Wu, X. Wu, X. Wu, B. Xi, Z. G. Xiao, G. Xie, W. Xie, H. Xu, N. Xu, Q. H. Xu, Y. Xu, Y. Xu, Z. Xu, Z. Xu, G. Yan, Z. Yan, C. Yang, Q. Yang, S. Yang, Y. Yang, Z. Ye, Z. Ye, L. Yi, Y. Yu, H. Zbroszczyk, W. Zha, C. Zhang, D. Zhang, J. Zhang, S. Zhang, W. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Z. J. Zhang, Z. Zhang, Z. Zhang, F. Zhao, J. Zhao, M. Zhao, S. Zhou, Y. Zhou, X. Zhu, M. Zurek, M. Zyzak

“…Abstract We report multi-differential measurements of strange hadron production ranging from mid- to target-rapidity in Au+Au collisions at a center-of-momentum energy per nucleon pair of s NN $$ \sqrt{s_{\textrm{NN}}} $$ = 3 GeV with the STAR experiment at RHIC. …”
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Efficient Multi-Threaded Data Starting Point Matching Method for Space Target Cataloging by Jiannan Sun, Zhe Kang, Zhenwei Li, Cunbo Fan

“…In the SST database containing an average of 25,720 targets, this method processes an average of 2164 data arc segments per minute, improving matching efficiency by 115 times compared to traditional prediction methods.…”
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Design of and Experiment with Physical Perception Pineapple Targeted Flower Forcing-Spraying Control System by Sili Zhou, Shuang Zheng, Ye Dai, Ganran Deng, Guojie Li, Zhende Cui, Xilin Wang, Ling Li, Fengguang He, Bin Yan, Shuangmei Qin, Zehua Liu, Pinlan Chen, Yizhi Luo

“…Induction in pineapples requires the targeted delivery of specific chemical solutions into the plant’s central core to enable batch management, a task currently reliant on manual operation. …”
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Image Fusion and Target Detection Based on Dual ResNet for Power Sensing Equipment by Jie Yang, Wei Yan, Shuai Yuan, Yu Yu, Zheng Mao, Rui Chen

“…The image fusion technology based on the dual ResNet network was applied to the target detection of sensing insulators in the power sensing network, improving the average accuracy of target detection. …”
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Target Detection Method for Soil-Dwelling Termite Damage Based on MCD-YOLOv8 by Peidong Jiang, Lai Jiang, Fengyan Wu, Tengteng Che, Ming Wang, Chuandong Zheng

“…The results showed that the improved YOLOv8 model outperformed four traditional or enhanced models in terms of precision and mean average precision for detecting soil-dwelling termite damage, while also exhibiting fewer parameters, reduced redundancy in detection boxes, and improved accuracy in detecting small targets. …”
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Interaction of iron oxide nanoparticles synthesized by laser target evaporation with polyacrylamide in composites and ferrogels by F. Scharf, E. Mikhnevich, A. Safronov

“…Iron oxide magnetic nanoparticles (MNPs) with average diameter 11.7 nm synthesized by laser target evaporation were used for the synthesis of composites and ferrogels based on polyacrylamide network. …”
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YOLO-WAS: A Lightweight Apple Target Detection Method Based on Improved YOLO11 by Xinwu Du, Xiaoxuan Zhang, Tingting Li, Xiangyu Chen, Xiufang Yu, Heng Wang

“…Target detection is the key technology of the apple-picking robot. …”
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SAR-PATT: A Physical Adversarial Attack for SAR Image Automatic Target Recognition by Binyan Luo, Hang Cao, Jiahao Cui, Xun Lv, Jinqiang He, Haifeng Li, Chengli Peng

“…Deep neural network-based synthetic aperture radar (SAR) automatic target recognition (ATR) systems are susceptible to attack by adversarial examples, which leads to misclassification by the SAR ATR system, resulting in theoretical model robustness problems and security problems in practice. …”
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Design of a Communication Device of Infrared Thermal Imaging Target Recognition and Tracking System by Le Zhang, Jinsong Wang, Zhiyong An

“…This paper designs a communication device architecture for an infrared thermal imaging target recognition and tracking system and optimizes and compares different target recognition and tracking algorithms. …”
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Detect material volume by fusing heterogeneous camera target detection and depth estimation information by Wei Tian, Xuecong Cheng, Yipeng Zhang, Huazhi Lin

“…Experiments show that the average accuracy of this method is 92.9%.…”
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Monte Carlo Simulation of the Echo Signals from Low-Flying Targets for Airborne Radar by Mingyuan Man, Zhenya Lei, Yongjun Xie, Botao Chen, Qing Wang

“…The half-space physical optics method , combined with the graphical-electromagnetic computing (GRECO) method to eliminate the shadow regions quickly and rebuild the target automatically, is employed to calculate the radar cross section (RCS) of the conductive targets in half space fast and accurately. …”
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An Intelligent Trajectory Prediction Algorithm for Hypersonic Glide Targets Based on Maneuver Mode Identification by Mingjie Li, Chijun Zhou, Lei Shao, Humin Lei

“…For the test data set, when the observation time for the target is 200 s and the prediction time is 150 s, with a fast prediction speed, our method’s average error of spatial distance (AESD) is less than 2.9 km, and the maximum error of spatial distance (MESD) is less than 6.9 km. …”
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AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm by CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin

“…To improve the detection rate of small target vehicles，an optimization of the YOLOv5s algorithm network structure was established，which added a small target detection layer and spliced the shallow feature map with the deep feature map in the detection. …”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…The following parameters were used as comparison criteria: passive radar working area (a part of space where the deviation of target coordinate estimates from their true values does not exceed the maximum tolerable values); average error in calculating spatial coordinates in the working area; iterations number of coordinate calculation in the analyzed part of space. …”
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Deep brain stimulation for obsessive compulsive disorder: A review of results by anatomical target by Candace Borders, Frank Hsu, Alexander J. Sweidan, Emily S. Matei, Robert G. Bota

“…Across this collection of papers, a total of 9 anatomic structures were targeted. The majority of studies showed a better response at the last time point as compared to the first time point. …”
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Target Detection Algorithm Based on Global Feature Fusion in Parallel Dual Path Backbone by QIU Yunfei, XIN Hao

“…To solve these problems, a target detection algorithm based on global feature fusion in parallel dual path backbone is proposed. …”
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Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…Abstract Aiming at the problems of low detection accuracy and poor generalization ability of underwater disease targets in inland waterways, an underwater disease target detection algorithm for inland waterways based on improved YOLOv5 is designed, which is denoted as YOLOv5-GBCE. …”
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