Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media by Siyuan Li, Zhi Li

“…Detecting hate speech in social media is challenging due to its rarity, high-dimensional complexity, and implicit expression via sarcasm or spelling variations, rendering linear models ineffective. …”
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Design of a plasmonic optical biosensor based on a metal-insulator-metal ring resonator for the detection of various bacterial pathogens by Ali Khodaie, Yousef Rafighirani, Hamid Heidarzadeh, Javad Javidan

“…By addressing key limitations in sensitivity and specificity in complex biological environments, this MIM-based sensor offers a robust platform for rapid, high-throughput bacterial detection in clinical diagnostics and beyond.…”
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YOLO-WTB: Improved YOLOv12n Model for Detecting Small Damage of Wind Turbine Blades From Aerial Imagery by Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Matthew W. Dunnigan

“…In addition, in the backbone part, we also propose to remove a Convolution module and an Area Attention Concatenate-Convolution-Fusion module and add an improved SoftPool Feature Spatial Pyramid Pooling - Fast module to increase the feature extraction ability while maintaining the complexity of the model. The proposed model not only optimizes wind turbine maintenance efficiency but also contributes to advancements in the field of computer vision.…”
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Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision by Dinul Akhiyar, Tukino Tukino, Sarjon Defit

“…The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. …”
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Au Ordered Array Substrate for Rapid Detection and Precise Identification of Etomidate in E-Liquid Through Surface-Enhanced Raman Spectroscopy by Yan Mo, Xiaoping Zhang, Ke Zou, Wen Xing, Xiayang Hou, Yu Zeng, Yugang Cai, Ruixiang Xu, Hongwen Zhang, Weiping Cai

“…Furthermore, it effectively mitigates interference from the complex matrix of e-liquids, facilitating the rapid detection of trace amounts of ET molecules. …”
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Design and assessment of a multiplex real-time PCR method for simultaneous detection and differentiation of COVID-19 and Influenza A/B by Nafiseh Fotros, Reihaneh Bashiri, Samira Mohammadi-Yeganeh, Mahdi Paryan

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A novel antibody against human properdin inhibits the alternative complement system and specifically detects properdin from blood samples. by Diana Pauly, Benedikt M Nagel, Jörg Reinders, Tobias Killian, Matthias Wulf, Susanne Ackermann, Boris Ehrenstein, Peter F Zipfel, Christine Skerka, Bernhard H F Weber

“…Mouse mAb 1340 specifically detected native properdin from human samples with high avidity. …”
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MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

“…Secondly, the improved model incorporates a decoupled detection head, which separates the classification task from the localization task, thereby improving detection accuracy while increasing detection complexity. …”
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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…The growing global population demands an efficient pest detection system to ensure food security. …”
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Integrating Bacteriophage onto the Magnetic Nanozyme for Effective Enrichment and Colorimetric Detection of <i>Cronobacter sakazakii</i> in Powdered Infant Formula by Xuechao Xu, Yuansong Zhang, Lu Gao, Juanli Yang, Zhenquan Yang

“…These results indicate that our proposed reaction system demonstrates its practical application potential for efficient enrichment of <i>C. sakazakii</i> from complex samples and accurate determination of <i>C. sakazakii</i> in PIF.…”
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Graphical Empirical Mode Decomposition–Convolutional Neural Network-Based Expert System for Early Corrosion Detection in Truss-Type Bridges by Alan G. Lujan-Olalde, Angel H. Rangel-Rodriguez, Andrea V. Perez-Sanchez, Martin Valtierra-Rodriguez, Jose M. Machorro-Lopez, Juan P. Amezquita-Sanchez

“…To enhance the computational efficiency of the method without compromising accuracy, different CNN architectures and image sizes are tested to propose a low-complexity model. …”
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PPG-Based Accurate Insomnia Detection System Using Convolutional Neural Networks With Self-Attention Mechanism and Gated Recurrent Units by Hardik Telangore, Heneel Makwana, Prithviraj Verma, Manish Sharma, Hasan S. Mir, U. Rajendra Acharya

“…The results emphasize the effectiveness and interpretability of these advanced models in capturing complex patterns in PPG signals, establishing PPG-based sleep monitoring as a practical and efficient solution for home use with wearable devices.…”
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YOLO-RWY: A Novel Runway Detection Model for Vision-Based Autonomous Landing of Fixed-Wing Unmanned Aerial Vehicles by Ye Li, Yu Xia, Guangji Zheng, Xiaoyang Guo, Qingfeng Li

“…The results indicate that the proposed YOLO-RWY model possesses strong generalization and real-time capabilities, enabling accurate runway detection in complex and challenging visual environments, and providing support for the onboard VAL systems of fixed-wing UAVs.…”
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Rapid in vitro assessment of the immunogenicity potential of engineered antibody therapeutics through detection of CD4+ T cell interleukin-2 secretion by Yoshiyuki Arata, Shigeki Motoyama, Mariko Yano, Tatsuya Ikuno, Shunsuke Ito, Tomochika Matsushita, Akira Takeiri, Yukari Nishito, Nami Yabuki, Hideaki Mizuno, Zenjiro Sampei, Masayuki Mishima, Masaki Honda, Jumpei Kiyokawa, Hiromi Suzuki, Shuichi Chiba, Mitsuyasu Tabo, Chiyomi Kubo

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Direct detection from sputum for drug-resistant Mycobacterium tuberculosis using a CRISPR-Cas14a-based approach by Guohui Xiao, Houming Liu, Hui Xu, Hongyu Shi, Dongxin Liu, Min Ou, Peng Liu, Guoliang Zhang

“…Abstract The increasing prevalence of multidrug-resistant tuberculosis (MDR-TB) highlights the urgent need for an efficient approach to identify Mycobacterium tuberculosis complex (MTBC) strains resistant to rifampicin (RIF) and isoniazid (INH). …”
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Screening the Global Health Priority Box against Plasmodium berghei liver stage parasites using an inexpensive luciferase detection protocol by Gia-Bao Nguyen, Caitlin A. Cooper, Olivia McWhorter, Ritu Sharma, Anne Elliot, Anthony Ruberto, Rafael Freitas, Ashutosh K. Pathak, Dennis E. Kyle, Steven P. Maher

“…While blood stage screening assays are routine and efficient, liver stage screening assays are more complex and costly. …”
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Linking Electrocardiogram and Echocardiogram: Comparing Classical Machine Learning and Deep Learning Neural Networks for the Detection of Regional Wall Motion Abnormalities by Shantanu M. Joshi, Hana R. Shaik, Shivam Rai Sharma, Philip Strong, Uma Srivatsa, Imo Ebong, Hyoyoung Jeong, Chen-Nee Chuah, Lihong Mo

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Deep learning for automated coral reef monitoring a novel system based on YOLOv8 detection and DeepSORT tracking by Younes Ouassine, Noël Conruyt, Mohsen Kayal, Philippe A. Martin, Lionel Bigot, Vignes Lebbe Regine, Hajar Moussanif, Jihad Zahir

“…The system's performance was evaluated using established metrics: object detection precision, Multiple Object Tracking Accuracy (MOTA), Multiple Object Tracking Precision (MOTP), and Identity F1 Score (IDF1). …”
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No increase is detected and modeled for the seasonal cycle amplitude of <i>δ</i>¹³C of atmospheric carbon dioxide by F. Joos, F. Joos, S. Lienert, S. Lienert, S. Zaehle

“…We use isotope-enabled simulations of the Bern3D-LPX (Land surface Processes and eXchanges) Earth system model of intermediate complexity and fossil fuel emission estimates with a model of atmospheric transport to simulate atmospheric <span class="inline-formula"><i>δ</i>¹³</span>C<span class="inline-formula">_a</span> at globally distributed monitoring sites. …”
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GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…Abstract Detecting arbitrary-shaped text in natural scenes remains a significant challenge in deep learning research. …”
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