Improved YOLOv8 Object Detection Method for Drone Aerial Images by Zhong Shuai, Wang Liping

“…A new improved YOLOv8 drone aerial image object detection method, referred to as the BDI-YOLO model, is proposed to address the problems of small target object size and blurry feature information in drone aerial images, which can lead to missed and false detections. Firstly, the Bidirectional Feature Pyramid Network (BiFPN) is introduced to improve the neck structure, utilizing a bidirectional information transmission mechanism and an adaptive feature selection mechanism to enhance the model's ability to extract features of different scales in aerial images. …”
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UAV-to-Ground Target Detection Based on YOLO-DSBE by Meng Pengshuai, Wang Feng, Zhai Weiguang, Ma Xingyu, Zhao Wei

“…To address the issues of complex background, small target scale, mutual occlusion and high missed detection rate in UAV captured images, this paper proposes a ground target detection algorithm based on YOLO-DSBE.The DC-ELAN and DC-MP modules based on deformable convolution are proposed to adapt to input features of different shapes and sizes, and to improve the network’s ability to parse features in complex backgrounds; A high-resolution multi-scale detection layer is designed to boost the algorithm’s capability in extracting small target features, thereby improving the detection accuracy of minute targets. …”
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Defining performance and competency requirements for army responders to domestic flood response operations by Michael Joseph Hosken, Sharon L. O'Sullivan

“…The findings address critical granularity missing at the operational and tactical levels of humanitarian assistance and disaster relief research. …”
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Association between psychiatric symptoms with multiple peripheral blood sample test: a 10-year retrospective study by Jianqing Qiu, Cheng Yu, Yalan Kuang, Yao Hu, Ting Zhu, Ting Zhu, Ke Qin, Wei Zhang, Wei Zhang, Wei Zhang, Wei Zhang

“…Inflammatory response showed a strong correlation with NVS, PVS, and a range of psychiatric symptoms especially mood symptoms, psychomotor symptoms, and cognitive abilities.…”
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Defect identification method for overhead transmission lines based on SIFT algorithm by Qiang Liu, Xi Zheng, Qiuhan Zhang, Hongjie Sun, Jun Yan

“…These results substantiate the proposed method’s ability to enhance the automation and reliability of wire installation quality evaluation.…”
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Localizing the Global and Globalizing the Local: Opportunities and Challenges in Bali Island Tourism Development by I Nyoman Darma Putra

“…The first event was the MissWorld beauty pageant, and the other one was the APECSummit. …”
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Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

“…The class imbalance foundation of the research design validly raises the capability benefits of the dataset, and the fraud recognition model constructed from it has the best capability and the recognition precision. The missed and false alarm rates fluctuate within the range of 0.15–0.35. …”
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Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods by Quoc-Dung Ngo, Ly-Huynh Phan

“…These findings underscore the necessity of multivariate time-series clustering in capturing latent dependencies across variables and time-relevant data that are often missed in univariate analyses. Moreover, incorporating derivative-based preprocessing enhances the ability of clustering algorithms to distinguish subtle temporal dynamics, making this approach highly relevant for applications in smart building monitoring and environmental control.…”
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Accurate Detection and Tracking of Small-Scale Vehicles in High-Altitude Unmanned Aerial Vehicle Bird-View Imagery by Heshan Zhang, Xin Tan, Mengwei Fan, Cunshu Pan, Zhanji Zheng, Shuang Luo, Jin Xu

“…Furthermore, an image segmentation method is proposed to effectively reduce missed and false detection events. It divides the original high-definition image into multiple subimages, first detected and then reassembled. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…To address the challenges of false positives and missed detections in face mask detection within dense environments, we propose the MF-YOLO face mask detection model. …”
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Sample Inflation Interpolation for Consistency Regularization in Remote Sensing Change Detection by Zuo Jiang, Haobo Chen, Yi Tang

“…Semi-supervised learning has gained significant attention in the field of remote sensing due to its ability to effectively leverage both a limited number of labeled samples and a large quantity of unlabeled data. …”
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Design of Reinforcement Learning Guidance Law for Antitorpedo Torpedoes by Zhong Wang, Zhiwen Wen, Weitong Cui, Daming Zhou, Pei Wang

“…The results demonstrated that the reinforcement learning guidance law was significantly superior to the traditional proportional guidance law in terms of miss distance, maneuvering ability consumption, and ballistic straightness and had stronger robustness. …”
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YOLO-CSMD: Integrating Improved Convolutional Techniques for Manhole Cover Defect Detection by Zhiwang Xu, Haowei Luo, Huijie Zhu, Wanfa Sun, Shengying Yang

“…Recent detection algorithms for manhole cover defects exhibit limited detection capabilities, which frequently encounter the issue of missed detection. To address this issue, this paper proposes an improved detection algorithm based on YOLOv8, called YOLO-CSMD. …”
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Study on Coherent Speckle Noise Suppression in the SAR Images Based on Regional Division by Xingdong Wang, Yudong Wang, Suwei Li

“…Polar snowmelt detection is of great importance for the study of global climate change, and synthetic aperture radar (SAR) images have been widely used for polar snowmelt detection because of its ability to provide round-the-clock, all-weather snowmelt detection. …”
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ChatGPT in Hydrology and Earth Sciences: Opportunities, Prospects, and Concerns by Ehsan Foroumandi, Hamid Moradkhani, Xavier Sanchez‐Vila, Kamini Singha, Andrea Castelletti, Georgia Destouni

“…The article examines the primary applications of this open artificial intelligence tool within these fields, specifically its ability to assist with writing and coding tasks, and highlights both the advantages and concerns associated with using such a model. …”
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Complex dark environment-oriented object detection method based on YOLO-AS by Bin Ren, Zhaohui Xu, Junwu Zhao, Rujiang Hao, Jianchao Zhang

“…Abstract For object detection in complex dark environments, the existing methods generally have problems such as low detection accuracy, false detection and missed detection. These problems lead to a lack of key information and incomplete context information, which seriously affects the detection effect. …”
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UM-YOLOv10: Underwater Object Detection Algorithm for Marine Environment Based on YOLOv10 Model by Rengui Mai, Ji Wang

“…In order to address the challenges of a low detection accuracy, missed detections, and false detections in marine precious biological target detection within complex marine environments, this paper presents a novel residual attention module called R-AM. …”
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CTHNet: A CNN–Transformer Hybrid Network for Landslide Identification in Loess Plateau Regions Using High-Resolution Remote Sensing Images by Juan Li, Jin Zhang, Yongyong Fu

“…However, the complex environment of the Loess Plateau, combined with the inherent limitations of convolutional neural networks (CNNs), often results in false positives and missed detection for deep learning models based on CNNs when identifying landslides from high-resolution remote sensing images. …”
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Herbivore community function shapes resilience and bistability of coral reefs. by Shayna A Sura, James O Lloyd-Smith, Peggy Fong

“…This work advances our ability to understand and predict coral reef resilience and alternative stable states in the Anthropocene, and provides guidance for conservation policy on fishing practices.…”
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EFL teachers’ practices and perspectives on self- and collaborative contextualized reflective practice by Yenni Rozimela, Sitti Fatimah, Nora Fudhla

“…The results demonstrate teachers’ ability to conduct RP before, during, and after lessons. …”
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