AC-YOLO: citrus detection in the natural environment of orchards by Xu Xiao, Yaonan Wang, Yiming Jiang, Haotian Wu, Zhe Zhang, Rujing Wang

“…By comparing the orange recognition effects of different network models such as Fast R-CNN, Center Net, YOLOV4 series algorithms, and YOLOV5 series algorithms on the panorama image, the improved YOLOV4 network model has an accuracy rate of 96.19%, a recall rate of 95.47%, and an average accuracy of 97.27%, Compared with the original YOLOv4 model, it has increased by 1.07, 2.59, and 2.02 percentage points respectively. …”
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Assessing marine ecosystem risks through unsupervised methods by Laura Pavirani, Pasquale Bove, Gianpaolo Coro

“…Ecosystem risk assessments are vital for informing effective policies and management decisions. …”
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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explain... by Sami Alrabie, Ahmed Barnawi

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ASCDet: cross-space UAV object detection method guided by adaptive sparse convolution by Gui Cheng, Xubin Feng, Yan Tian, Meilin Xie, Chaoya Dang, Qing Ding, Zhenfeng Shao

“…These masks guide cross-space object detection through sparse convolutions, while a global context enhancement strategy within the sparse convolution module enriches the contextual information, maintaining detection accuracy. Extensive experiments on the VisDrone and UAVDT datasets, comparing ASCDet with benchmark methods such as Faster R-CNN, RetinaNet, FSAF, GFL V1, and TOOD, show that ASCDet improves AP[Formula: see text] by up to 5.8%, increases FPS by up to 34.3%, and reduces GFLOPs by approximately 80%. …”
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SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning by Zhongchen Deng, Yuanlong Ge, Xiatian Qi, Kai Sun, Ruixi Wan, Bingxu Zhang, Shenman Zhang, Xun Zhang, Yan Meng

“…However, PlaneTR has the following two major limitations: its ineffective utilization of line segment information within images and the high number of parameters. …”
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Methodological approaches to the use of the Register of children with juvenile arthritis at the level of specialized medical care by V. A. Malievsky, O. A. Malievsky, R. Z. Akhmetshin, G. R. Gareeva, S. C. Zhukov, E. P. Pervushina, A. J. Nuriakhmetova, L. R. Nurgalieva, A. A. Khasanova

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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

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A Signal Processing-Guided Deep Learning Framework for Wind Shear Prediction on Airport Runways by Afaq Khattak, Pak-wai Chan, Feng Chen, Hashem Alyami, Masoud Alajmi

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A dataset from the Cryptogamia-Lichenes section of the Herbarium Universitatis Taurinensis (TO) by Rosanna Piervittori, Deborah Isocrono, Enrica Matteucci, Mariagrazia Morando, Luca Dessì, Laura Guglielmone, Heimo Rainer, Stefano Martellos, Andrea Moro, Pier Luigi Nimis, Matteo Conti, Sergio Enrico Favero-Longo

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UAV-Multispectral Based Maize Lodging Stress Assessment with Machine and Deep Learning Methods by Minghu Zhao, Dashuai Wang, Qing Yan, Zhuolin Li, Xiaoguang Liu

“…Unmanned aerial vehicles (UAVs) remote sensing is a practical means to quickly obtain lodging information at field scale, such as area, severity, and distribution. …”
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Artificial intelligence medical image-aided diagnosis system for risk assessment of adjacent segment degeneration after lumbar fusion surgery by Bin Dai, Xinyu Liang, Yan Dai, Xintian Ding

“…The existing assessment of adjacent segment degeneration (ASD) risk after lumbar fusion surgery focuses on a single type of clinical information or imaging manifestations. In the early stages, it is difficult to show obvious degeneration characteristics, and the patients’ true risks cannot be fully revealed. …”
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Aspetti geografici del confronto fra sapere esperto e contestuale: un’analisi regionale nei paesaggi del “degrado” by Giorgia Bressan, Andrea Guaran, Francesco Visentin, Gian Pietro Zaccomer

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Research Trends in Eye Gaze Tracking and its Implications: A Bibliometric Analysis by BM Prasanna Kumar, KN Sowmya, B Madhushree, HR Chennamma

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FEATURES OF AUDIT OF SUSTAINABILITY REPORTING: EMPIRICAL EXPERIENCE OF THE EUROPEAN UNION COUNTRIES by Костянтин Безверхий, Ірина Парасій-Вергуненко, Олексій Пилипенко, Олександр Юрченко, Микола Матюха, Наталія Поддубна

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Research on power coupling interface in multi-technology fusion collaborative simulation under novel power system by ZOU Shirong, LU Youfei, LIANG Xueqing, LIU Chao, FENG Binjie, XU Jin

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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

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Life History Parameters of the Invasive Cotton Mealybug <i>Phenacoccus solenopsis</i> on Tomato at Four Constant Temperatures by Ahlem Harbi, Khaled Abbes, Brahim Chermiti, Pompeo Suma

“…The data from this study provide valuable information for adapted pest management approaches against <i>P. solenopsis</i> on tomato crops.…”
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Predictors of public risk perception of Fukushima Daiichi nuclear accident's treated radioactive wastewater release: Study on South Korean population by Sachchi Baral Chitrakar, Juyoung Moon, Jae Wook Choi, Kyung Hee Kim

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PMPred-AE: a computational model for the detection and interpretation of pathological myopia based on artificial intelligence by Hong-Qi Zhang, Muhammad Arif, Maha A. Thafar, Somayah Albaradei, Peiling Cai, Yang Zhang, Hua Tang, Hua Tang, Hao Lin

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A novel hybrid convolutional and transformer network for lymphoma classification by Mohamed Yacin Sikkandar, Sankar Ganesh Sundaram, Muteb Nasser Almeshari, S. Sabarunisha Begum, E. Siva Sankari, Yousef A. Alduraywish, Waeal J. Obidallah, Fahad Mansour Alotaibi

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