Intelligent Detection of Tomato Ripening in Natural Environments Using YOLO-DGS by Mengyuan Zhao, Beibei Cui, Yuehao Yu, Xiaoyi Zhang, Jiaxin Xu, Fengzheng Shi, Liang Zhao

“…To achieve accurate detection of tomato fruit maturity and enable automated harvesting in natural environments, this paper presents a more lightweight and efficient maturity detection algorithm, YOLO-DGS, addressing the challenges of subtle maturity differences between regular and cherry tomatoes, as well as fruit occlusion. …”
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Pavement pothole detection system based on deep learning and binocular vision by Tian Guan, Jianyuan Cai, Yu Wang, Wei Yang, Xiaobo Chang, Yi Han

“…The experimental results show that the model has better accuracy than the basic model and can effectively detect road potholes. In addition, we replaced the ordinary convolution in the CenterNet feature extraction network with pyramid convolution with multiple receptive fields, and designed a feature fusion module in the same network to fuse low-level and high-level features related to holes, thus establishing a PF-CenterNet that combines pyramid convolution with feature fusion to detect areas containing road potholes. …”
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A Lightweight and Rapid Dragon Fruit Detection Method for Harvesting Robots by Fei Yuan, Jinpeng Wang, Wenqin Ding, Song Mei, Chenzhe Fang, Sunan Chen, Hongping Zhou

“…The method builds upon YOLOv10 and integrates Gated Convolution (gConv) into the C2f module, forming a novel C2f-gConv structure that effectively reduces model parameters and computational complexity. In addition, a Global Attention Mechanism (GAM) is inserted between the backbone and the feature fusion layers to enrich semantic representations and improve the detection of occluded fruits. …”
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Deep Learning in Defect Detection of Wind Turbine Blades: A Review by Katleho Masita, Ali N. Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Additionally, transfer learning and attention mechanisms have been instrumental in enhancing the precision and speed of defect detection, enabling real-time applications. …”
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Implementation for Lightweight Deep Learning for Anomaly Detection and Denoising on Gravitational Waves by R. K. Mohith Niranjen, C. Yogesh, Anirudh Vinodh, Tharun Sureshkumar, S. Vatchala

“…Motivated by the WaveNet model, our method uses dilated convolutions to precisely model long-term dependencies in the data ensuring that subtle characteristics are captured. In addition, higher-order recurrent layers like Long Short-Term Memory(LSTM) networks are also used to precisely model temporal characteristics so that accuracy is preserved with enhanced anomaly detection and noise removal. …”
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Serological detection of small ruminant lentivirus infection in Babylon Governorate, Iraq by A. H. Mosa, H. A. H. Aljabory, N. Abady

“…The results provide the first serological and clinical detection of SRLV infection in sheep and goats in Iraq.…”

CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…Compared to YOLOv8, it improves mAP by 2.9% while maintaining detection speed, with a model size of 6.7M.DiscussionExperimental results validate the effectiveness of the CTDA model in cherry tomato detection under complex environments. …”
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An efficient network for object detection in scale-imbalanced remote sensing images by Li Zhongyu, Jing Xiaoping, Sun Rui, Yang Yazhi, Wang Wei, Zhu Hongzhen

“…Finally, the model was applied to the disaster remote sensing image scene for detection, again demonstrating the model’s good detection performance. …”
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Influence of Lamb Wave Anisotropy on Detection of Water-to-Ice Phase Transition by Andrey Smirnov, Vladimir Anisimkin, Nikita Ageykin, Elizaveta Datsuk, Iren Kuznetsova

“…The results obtained can be used to develop methods for detecting ice formation and measuring its parameters.…”
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YOLO-DAFS: A Composite-Enhanced Underwater Object Detection Algorithm by Shengfu Luo, Chao Dong, Guixin Dong, Rongmin Chen, Bing Zheng, Ming Xiang, Peng Zhang, Zhanwei Li

“…The C2PSF module, combining focal modulation and C2, strengthens local feature extraction and global context processing. Additionally, a SCSA module is inserted before the detection head to fully utilize multi-semantic information, improving the detection performance in complex underwater scenes. …”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…This study presents a novel deep-learning-based approach to enhance fault detection in PV systems by customizing the Atrous Spatial Pyramid Pooling (ASPP) module within a U-Net architecture. …”
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Evaluation of the mutation profile detected in lung adenocarcinomas with different N status by Dilara Akin, Nesibe Kahraman Çetin, Sinan Can Taşan, İbrahim Halil Erdoğdu, İbrahim Meteoğlu

“…A statistically significant increase in mutation frequency was observed with advancing N stage (p < 0.01). Additionally, the number of patients with multiple mutation associations also increased with higher N stages. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…Salient object detection (SOD) is a key preprocessing step in computer vision, widely used in object tracking, action recognition, and image retrieval, among other fields. …”
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Deep learning based detection of enlarged perivascular spaces on brain MRI by Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

“…However, in many scenarios, the number of imaging sequences capturing information related to small vessel disease lesions is insufficient to support data-driven techniques. Additionally, cohort-based studies may not always have the optimal or essential imaging sequences for accurate lesion detection. …”
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A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

“…However, traditional methods of tire defect detection have encountered problems such as slow detection speed, complex tire defect backgrounds, and limited hardware resources. …”
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Analysis of differential gene expression of PBMC for the in vitro detection of drug sensitization by Andreas Glässner, Michael Steffens, Amol Fatangare, Gerda Wurpts, Per Hoffmann, Philipp N. Deck, Christine Krämer, Stefani Röseler, Albert Sickmann, Markus M. Nöthen, Amir S. Yazdi, Bernhardt Sachs

“…Background: The detection of drug-specific activation of T cells in the lymphocyte transformation test (LTT) is mainly based on cell proliferation or cytokine secretion. …”
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DIAGNOSTIC VALUE OF SPECIFIC IMMUNE COMPLEXES IN DETECTION OF ACTIVE TUBERCULOSIS INFECTION by A. A. Starshinova, E. V. Istomina, Yu. S. Zinchenko, M. V. Filatov, S. B. Landa, V. S. Burdakov, E. N. Belyaeva, M. M. Nazarenko, N. V. Sapozhnikova, M. V. Pavlova, P. K. Yablonskiy

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Genotypic and Phenotypic Methods in the Detection of MDR-TB and Evolution to XDR-TB by Natalia Zaporojan, Ramona Hodișan, Carmen Pantiș, Andrei Nicolae Csep, Claudiu Zaporojan, Dana Carmen Zaha

“…Of the MDR-TB isolates (<i>n</i> = 29), 41.37% were resistant to fluoroquinolones (<i>n</i> = 12) and 31.03% were resistant to both fluoroquinolones and injectable aminoglycosides, being classified as XDR-TB (<i>n</i> = 9). In addition, 22.73% of the MDR-TB isolates were resistant to all four first-line drugs (<i>n</i> = 15). …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…Next, a fast convolution layer is implemented to replace the original C2f module, improving both detection accuracy and computational efficiency. In addition, a multi-scale fusion attention module is incorporated into the Neck section, which effectively integrates disease-related information from different receptive fields, thereby boosting the model&#x2019;s ability to detect a wider variety of diseases. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…Additionally, these techniques are computationally intensive. …”
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