Improved Aerial Surface Floating Object Detection and Classification Recognition Algorithm Based on YOLOv8n by Lili Song, Haixin Deng, Jianfeng Han, Xiongwei Gao

“…The water surface environment is highly complex, and floating objects in aerial images often occupy a minimal proportion, leading to significantly reduced feature representation. These challenges pose substantial difficulties for current research on the detection and classification of water surface floating objects. …”
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YOLOv8-BaitScan: A Lightweight and Robust Framework for Accurate Bait Detection and Counting in Aquaculture by Jian Li, Zehao Zhang, Yanan Wei, Tan Wang

“…The key innovations are as follows: (1) By incorporating the channel prior convolutional attention (CPCA) into the final layer of the backbone, the model efficiently extracts spatial relationships and dynamically allocates weights across the channel and spatial dimensions. (2) The minimum points distance intersection over union (MPDIoU) loss function improves the model’s localization accuracy for bait bounding boxes. (3) The structure of the Neck network is optimized by adding a tiny-target detection layer, which improves the recall rate for small, distant bait targets and significantly reduces the miss rate. (4) We design the lightweight detection head named Detect-Efficient, incorporating the GhostConv and C2f-GDC module into the network to effectively reduce the overall number of parameters and computational cost of the model. …”
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Lightweight coal mine conveyor belt foreign object detection based on improved Yolov8n by Jierui Ling, Zhibo Fu, Xinpeng Yuan

“…Lastly, the original CIoU loss function in Yolov8n is replaced with MPDIoU, which allows the model to more accurately predict the position and shape of bounding boxes in the object detection task, thereby further reducing accuracy loss. …”
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Toward Efficient UAV-Based Small Object Detection: A Lightweight Network with Enhanced Feature Fusion by Xingyu Di, Kangning Cui, Rui-Feng Wang

“…However, UAV images often face challenges such as significant scale variation, dense small targets, high inter-class similarity, and intra-class diversity, which can lead to missed detections, thus reducing performance. To solve these problems, this study proposes a lightweight and high-precision model UAV-YOLO based on YOLOv8s. …”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…Due to complex environmental conditions, varying viewing angles, and unstable lighting conditions, existing insulator defect detection algorithms still face challenges, including missed detection, false detection, and inadequate adaptability for detecting small-sized defects in UAV captured images. …”
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Investigation of ensembles of deep learning models for improved chronic kidney diseases detection in CT scan images by I.I. Ayogu, C.F. Daniel, B.A. Ayogu, J.N. Odii, C.L. Okpalla, E.C. Nwokorie

“…This improvement can be considered an important achievement in the domain of medical diagnosis where it can directly result in improved diagnostic accuracy and reduced errors. In general, nonetheless, kidney stone was the most difficult disease to detect for all the models investigated. …”
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STar-DETR: A Lightweight Real-Time Detection Transformer for Space Targets in Optical Sensor Systems by Yao Xiao, Yang Guo, Qinghao Pang, Xu Yang, Zhengxu Zhao, Xianlong Yin

“…Its parameter count and computational complexity are reduced by 64.8% and 41.8%, respectively, highlighting its lightweight design and providing a valuable reference for space target detection in resource-constrained optical sensors.…”
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P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…Secondly, after analyzing the image set characteristics to be detected in this research, the point-line distance bounding box loss function is utilized to calculate the coordinate distance of the prediction box and target box, and aimed at improving detection speed. …”
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Anti-RNA virus crRNA targets efficient screening platform based on bioinformatics and CRISPR detection by Mengwei Niu, Zhuofan Dong, Lifang Yu, Xue Dong, Jing An, Yao Han, Yujie Yan, Wenyanbo Yi, Yansong Sun, Hao Li

“…This method significantly reduces the screening time for antiviral targets compared with traditional cell screening. …”
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Ship Target Detection in SAR Images Based on Multiple Attention Mechanism and Cross-Scale Feature Fusion by Yuwu Wang, Tieming Wu, Limin Guo, Yuhan Mo

“…This reduces the sensitivity of the CIoU loss function to positional offsets of small targets, with only a slight increase in computational and parameter costs, thereby further improving the detection accuracy of small targets. …”
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ASEP of MIMO System with MMSE-OSIC Detection over Weibull-Gamma Fading Channel Subject to AWGGN by Keerti Tiwari, Davinder S. Saini, Sunil V. Bhooshan

“…Therefore, MMSE-OSIC detection is used which reduces error rate compared to traditional MMSE with low complexity. …”
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Research on a Target Detection Algorithm for Common Pests Based on an Improved YOLOv7-Tiny Model by He Gong, Xiaodan Ma, Ying Guo

“…In agriculture and forestry, pest detection is critical for increasing crop yields and reducing economic losses. …”
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Functional polymorphism of the mu-opioid receptor gene (OPRM1) influences reinforcement learning in humans. by Mary R Lee, Courtney L Gallen, Xiaochu Zhang, Colin A Hodgkinson, David Goldman, Elliot A Stein, Christina S Barr

“…Previous reports on the functional effects (i.e., gain or loss of function), and phenotypic outcomes (e.g., changes in addiction vulnerability and stress response) of a commonly occurring functional single nucleotide polymorphism (SNP) of the mu-opioid receptor (OPRM1 A118G) have been inconsistent. …”
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Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling by Majid Eslami, Ramtin Naderian, Aisa Bahar, Ali Babaeizad, Solaleh Rezanavaz Gheshlagh, Valentyn Oksenych, Hamed Tahmasebi

“…Additionally, the influence of microbiota on the effectiveness of treatments such as immunotherapy and chemotherapy highlights its dual function in improving treatment outcomes and reducing side effects. …”
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Invasive Vagus Nerve Stimulation Activates Microglia α7nAChR to Reduce Striatal Neuroinflammation in Mouse Model of Parkinson's Disease and Its Mechanism by GENG Yao, WANG Ruiyu, ZHU Zhuang, SHEN Ying, ZHANG Kezhong

“…The rotarod test was used to detect the balance and coordination function of each group. …”
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Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features by Hung-Wen Tsai, Chien-Yu Chiou, Wei-Jong Yang, Tsan-An Hsieh, Cheng-Yi Chen, Che-Wei Hsu, Yih-Jyh Lin, Min-En Hsieh, Matthew M. Yeh, Chin-Chun Chen, Meng-Ru Shen, Pau-Choo Chung

“…<italic>Goal</italic>: The early diagnosis and treatment of hepatitis is essential to reduce hepatitis-related liver function deterioration and mortality. …”
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ST-YOLOv8: Small-Target Ship Detection in SAR Images Targeting Specific Marine Environments by Fei Gao, Yang Tian, Yongliang Wu, Yunxia Zhang

“…Furthermore, the ST-YOLOv8 model outperforms several state-of-the-art multi-scale ship detection algorithms on both datasets. In summary, the ST-YOLOv8 model, by integrating advanced neural network architectures and optimization techniques, significantly improves detection accuracy and reduces false detection rates. …”
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Effect of oral administration of Myrtus communis extract on reducing the negative impacts of feed contaminated with mycotoxins on productive performance and some blood characterist... by Adil Jabbar Atiyah, Shireen Jamal Mahmood, Mohammed Munis Dakheel

“…The liver enzymes AST enzyme increased in the T1 compared with the T2 group, representing improved liver functions. However, alanine aminotransferase was within the average level for the three groups; after detection of AFB1 in the kidney and liver by HPLC, the concentration of AFB1 in T1, T2 was 8.6,1.4 in the kidney tissue, 10.5, 1.6 in also liver T1, T2, respectively, while the control group was under detectable level. …”
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Detection of Microorganisms in Granulomas That Have Been Formalin-Fixed: Review of the Literature Regarding Use of Molecular Methods by Jeannette Guarner

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Transplantation of gastric epithelial mitochondria into human gastric cancer cells inhibits tumor growth and enhances chemosensitivity by reducing cancer stemness and modulating ga... by Hsin-Yi Tsai, Kuen-Jang Tsai, Deng-Chyang Wu, Yaw-Bin Huang, Ming-Wei Lin

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