A Lightweight and High-Performance YOLOv5-Based Model for Tea Shoot Detection in Field Conditions by Zhi Zhang, Yongzong Lu, Yun Peng, Mengying Yang, Yongguang Hu

“…Additionally, the model size, number of parameters, and FLOPs were reduced to 8.9 MB, 4.2 M, and 15.8 G, representing decreases of 90.6%, 90.9%, and 85.3% compared to YOLOv5. Compared to other state-of-the-art detection models, the proposed model outperforms YOLOv3-SPP, YOLOv7, YOLOv8-X, and YOLOv9-E in detection performance while maintaining minimal dependency on computational and storage resources. …”
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Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding by Wasim Khan, Mohammad Ishrat, Ahmad Neyaz Khan, Mohammad Arif, Anwar Ahamed Shaikh, Mousa Mohammed Khubrani, Shadab Alam, Mohammed Shuaib, Rajan John

“…The proposed model has been extensively tested on four real-world datasets, and its effectiveness has been demonstrated in comparison to state-of-the-art approaches. The empirical evaluation across multiple benchmark datasets validates the potential of the proposed approach as a pivotal tool in advancing anomaly detection research and applications.…”
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Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology. by Li Jiaqing, Song Fei, Xiao Zidong, Zhu Longji, Chen Lan, Wei Zheliang

“…To address the non-stationary nature of acoustic emission (AE) signals during crack initiation and propagation, this study combines the K-singular value decomposition (K-SVD) dictionary learning algorithm with convolutional neural networks (CNN) to enhance AE signal processing and fatigue crack detection. …”
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Abstract 035: Workflow Improvements from Automated LVO Detection Algorithms Are Dependent on Care Team Engagement by Hussain M Azeem

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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

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Engaging private providers to enhance tuberculosis detection and notification: evidence from TB REACH-Supported projects by Md. Toufiq Rahman, William A. Wells, Oriol Ramis, Vishnu V. Kamineni, Mirjam I. Bakker, Sode Matiku, Miranda Brouwer, Jacob Creswell

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Generation and genetic repair of two human induced pluripotent stem cell lines from patients with Epidermolysis Bullosa simplex associated with a heterozygous mutation in the trans... by Spyridon T. Pachis, Veronika Ramovs, Christian Freund, Cristina Has, Karine Raymond

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STANCE: a unified statistical model to detect cell-type-specific spatially variable genes in spatial transcriptomics by Haohao Su, Yuesong Wu, Bin Chen, Yuehua Cui

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FakeMusicCaps: A Dataset for Detection and Attribution of Synthetic Music Generated via Text-to-Music Models by Luca Comanducci, Paolo Bestagini, Stefano Tubaro

“…We evaluate the proposed dataset by performing initial experiments regarding the detection and attribution of TTM-generated audio considering both closed-set and open-set classification.…”
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From pixels to letters: A high-accuracy CPU-real-time American Sign Language detection pipeline by Jonas Rheiner, Daniel Kerger, Matthias Drüppel

“…We employ a two-step training: The backbone is initialized through transfer learning and frozen for the initial training of the head. …”
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Analysis of the Detection Rate and Results of Surgical Treatment of Patients with Infective Endocarditis With/Without <i>COVID</i>-19 by V. V. Vladimirov, M. M. Abdullaeva, V. S. Selyaev, L. S. Kokov, A. V. Redkoborody, S. Yu. Kambarov, I. V. Ivanov, A. I. Kovalev, K. A. Popugayev

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Lung Aging and Lung Function Assessment in Elderly by Made Agustya Darma Putra Wesnawa, I Made Subagiarta, Evelyn Nathania

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Four Planets Found through Microlensing Events Involving Faint Source Stars by Cheongho Han, Michael D. Albrow, Chung-Uk Lee, Sun-Ju Chung, Andrew Gould, Kyu-Ha Hwang, Youn Kil Jung, Yoon-Hyun Ryu, Yossi Shvartzvald, In-Gu Shin, Jennifer C. Yee, Hongjing Yang, Weicheng Zang, Sang-Mok Cha, Doeon Kim, Dong-Jin Kim, Seung-Lee Kim, Dong-Joo Lee, Yongseok Lee, Byeong-Gon Park, Richard W. Pogge

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Improving Vertebral Fracture Detection in C-Spine CT Images Using Bayesian Probability-Based Ensemble Learning by Abhishek Kumar Pandey, Kedarnath Senapati, Ioannis K. Argyros, G. P. Pateel

“…Diagnosis of VFs is crucial at the initial stage, which may be challenging because of the subtle features, noise, and homogeneity present in the computed tomography (CT) images. …”
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Continued presence of enrofloxacin residues in feathers of broiler parent stock based on quantitative UHPLC-MS/MS detection by Moniek Ringenier, Marc Cherlet, Jeroen Dewulf, Mathias Devreese

“…ENR concentrations remained relatively stable throughout the observation period. For CIP, an initial rapid decline in concentration was observed, followed by a steady-state phase. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

“…Through synergistic integration of architectural optimization, sophisticated regularization methods, and deployment-aware training, our proposed system enables earlier and more accurate detection. This innovation has the potential to greatly enhance healthcare delivery by equipping radiologists and clinicians with a strong second opinion and initial read capability, ultimately leading to improved patient outcomes and decreased mortality related to this widespread disease.…”
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Therapeutic drug monitoring and neutralizing anti-drug antibody detection to optimize TNF-alpha inhibitor treatment for uveitis by Howard C. Chen, Jenny Shunyakova, Amit K. Reddy, Srujay Pandiri, Lynn Hassman

“…Here, we investigated the use of therapeutic drug monitoring and neutralizing anti-drug antibody detection as a strategy to optimize tumor necrosis factor (TNF)-alpha inhibitor treatment in patients who have a suboptimal response to the initial dosing of adalimumab.MethodRetrospective cohort study performed in two tertiary referral uveitis services in the United States between 2015 to 2023. …”
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Federated two-stage transformer-based network for intrusion detection in non-IID data of controller area networks by Yuan Zhang, Jiaru Song, Yongxiong Sun, Zhanheng Gao, Zhe Hu, Minghui Sun

“…The initial stage comprises a single-class classifier, which is specifically designed for intrusion detection. …”
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Deep learning for the detection of microsatellite instability from histology images in colorectal cancer: A systematic literature review by Amelie Echle, Narmin Ghaffari Laleh, Peter L. Schrammen, Nicholas P. West, Christian Trautwein, Titus J. Brinker, Stephen B. Gruber, Roman D. Buelow, Peter Boor, Heike I. Grabsch, Philip Quirke, Jakob N. Kather

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Enhanced Community Detection via Convolutional Neural Network: A Modified Approach Based on MRFasGCN Algorithm by Puneet Kumar, Dalwinder Singh, Mamoona Humayun, Ali Alqazzaz, Arun Malik, Ibrahim Alrashdi, Isha Batra, Ghadah Naif Alwakid

“…Initially, Newman and Girvan proposed traditional algorithms for community detection from social networks in 2004, but with the growth of social networks, Convolutional Neural Network (CNN) based algorithms are proposed by different researchers in recent years due to the inefficiency of traditional methods. …”
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