A YOLOv8n-T and ByteTrack-Based Dual-Area Tracking and Counting Method for Cucumber Flowers by Liyang Su, Shujuan Zhang, Hongtu Zhang, Xiangsen Meng, Xiongkui He

“…Accurate counting of cucumber flowers using intelligent algorithms to monitor their sex ratio is essential for intelligent facility agriculture management. However, complex greenhouse environments impose higher demands on the precision and efficiency of counting algorithms. …”
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Comprehensive Monitoring Method for Diaphragm Wall Deformation Combining Distributed and Point Monitoring in Key Areas by Chun Lan, Hui Zhang, Guangqing Hu, Feng Han, Heming Han

“…The results demonstrated that the hybrid approach effectively captures the overall deformation distribution of the diaphragm wall while enabling real-time monitoring of key areas, including the detection of crack initiation and propagation. The proposed method offers a significant advancement in deformation monitoring, providing enhanced accuracy, spatial coverage, and the ability to detect both macro-scale trends and micro-scale anomalies, which is particularly beneficial for complex underground structures.…”
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A multi-rule index to extract brine shrimp from satellite imagery: a case study in Ebinur Lake, China by Jingchen He, Zhenyu Tan, Junli Li, Bo Jiang, Hongtao Duan

“…Traditional field sampling methods are limited in scope and efficiency, necessitating a reliable remote sensing-based approach. …”
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Neuronal population model of globular bushy cells covering unit-to-unit variability. by Go Ashida, Helen T Heinermann, Jutta Kretzberg

“…Bushy cells in the anteroventral cochlear nucleus, which innervate monaural and binaural stations in the superior olivary complex, process and transfer temporal cues relevant for sound localization. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…WinDGF offers two modes: WinDGF_path, which guides fuzzing towards specific execution paths by iteratively reducing path distances, ideal for deep exploration in complex programs, and WinDGF_keyblock, which enhances defect identification by maximizing key-block coverage, suitable for focused and rapid testing in security-critical parts of applications. …”
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Toward Secure Smart Grid Systems: Risks, Threats, Challenges, and Future Directions by Jean Paul A. Yaacoub, Hassan N. Noura, Ola Salman, Khaled Chahine

“…However, with the integration of complex technologies and interconnected systems inherent to smart grids comes a new set of safety and security challenges that must be addressed. …”
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Multilevel Feature Interaction Network for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo

“…High-spatial resolution (HSR) remote sensing images present significant challenges due to their highly complex backgrounds, a large number of densely distributed small targets, and the potential for confusion with land targets. …”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…Tooth wear is a common and complex oral problem, with a gradually increasing global incidence. …”
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Large field-of-view event-mode camera for high-precision epithermal neutron resonance imaging by Tsviki Y. Hirsh, Alexander M. Long, Adrian S. Losko, Tim T. Jaeger, Alexander Wolfertz, Sven C. Vogel

“…We demonstrate the system’s capability for quantitatively determining isotopic distributions in various thin samples, as well as automatically reconstructing complex scenes with overlapping resonances from diverse samples. …”
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Virtual power plant to ensure reliable power supply and accident-free operation of process equipment of a mining enterprise by Telmanova E.D., Abdrakhmanov I.D.

“…The functional scheme of power supply of the enterprise of mineral and raw materials complex is presented, which shows the place and functions of the virtual power plant in this system. …”
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A novel approach to feature extraction from gear condition monitoring signals by Lina Bouhafs, Salah Tamalouzt, Ahcene Bouzida

“…Vibration signals from machinery are often complex, consisting of many different components, making it challenging to isolate the fault-related features from the noise. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…It promises to improve road safety, reduce traffic congestion, and increase overall transportation efficiency. It is made possible by a plethora of modern technologies, such as AI, low-power hardware, and complex computing. …”
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Rethinking Safety-by-Design and Techno-Solutionism for the Regulation of Child Sexual Abuse Material by Andrew Murray, Mark Leiser

“…In cases where these measures fail, a detection order can be issued, requiring platforms to deploy technical measures, including AI, to scan all communications. …”
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On-site Determination of Lithium in Hot Spring Water by Portable Li-K Analyzer by Xiao LIU, Xiuchun ZHAN

“…However, hot springs are mainly distributed in remote areas such as Xizang and Yunnan, where the cost of sample transportation and laboratory testing is high and the efficiency is low, so the exploration of lithium resources urgently needs the support of on-site analysis technology. …”
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Research on Coordinated Oscillation Control Strategy of AC/DC Hybrid Distribution Network Based on Mixed-Integer Linear Programming by Shumin Sun, Peng Yu, Jiawei Xing, Yuejiao Wang, Song Yang

“…In addition, when simulating a single-phase fault, compared with the case without this method, this method can locate the fault area more accurately and significantly improve the reliability of fault detection. The significance of this study is to provide an effective mathematical model and control strategy to deal with the complex dynamic behavior of AC-DC hybrid distribution network. …”
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Automatic Generation of Synthesisable Hardware Description Language Code of Multi-Sequence Detector Using Grammatical Evolution by Bilal Majeed, Rajkumar Sarma, Ayman Youssef, Douglas Mota Dias, Conor Ryan

“…Quickly designing digital circuits that are both correct and efficient poses significant challenges. Electronics, especially those incorporating sequential logic circuits, are complex to design and test. …”
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Interpretable and Robust Ensemble Deep Learning Framework for Tea Leaf Disease Classification by Ozan Ozturk, Beytullah Sarica, Dursun Zafer Seker

“…Thus, the models could detect diseases under varying conditions, highlighting their robustness. …”
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Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture by Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

“…In this paper, a novel weed recognition model, Cotton Weed-YOLO, is proposed to improve the accuracy and efficiency of weed detection. CW-YOLO is based on YOLOv8 and introduces a dual-branch structure combining a Vision Transformer and a Convolutional Neural Network to address the problems of the small receptive field of the CNN and the high computational complexity of the transformer. …”
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Integrating artificial intelligence and optogenetics for Parkinson’s disease diagnosis and therapeutics in male mice by Bobae Hyeon, Jaehyun Shin, Jae-Hun Lee, Woori Kim, Jea Kwon, Heeyoung Lee, Dae-gun Kim, Choong Yeon Kim, Sian Choi, Jae-Woong Jeong, Kwang-Soo Kim, C. Justin Lee, Daesoo Kim, Won Do Heo

“…Abstract Parkinson’s disease (PD), a progressive neurodegenerative disorder, presents complex motor symptoms and lacks effective disease-modifying treatments. …”
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Recent advances of engineering cell membranes for nanomedicine delivery across the blood–brain barrier by Shengnan Yuan, Dehong Hu, Duyang Gao, Christopher J. Butch, Yiqing Wang, Hairong Zheng, Zonghai Sheng

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