A Community Detection Algorithm Based on Topology Potential and Spectral Clustering by Zhixiao Wang, Zhaotong Chen, Ya Zhao, Shaoda Chen

“…Experiments results showed that the new algorithm gave excellent performance on artificial networks and real world networks and outperforms other community detection methods.…”
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Design of an Optimal Preview Controller for Linear Discrete-Time Descriptor Noncausal Multirate Systems by Mengjuan Cao, Fucheng Liao

“…By making use of the standard preview control method, we construct the descriptor augmented error system. …”
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Quasi-Optimal Path Convergence-Aided Automorphism Ensemble Decoding of Reed–Muller Codes by Kairui Tian, He Sun, Yukai Liu, Rongke Liu

“…This technique detects strong convergence between the partial path metrics (PPMs) of SC constituent decoders to reliably identify the optimal decoding path at runtime. …”
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Development of an immunochromatographic assay for detection of Aflatoxin B1 in corn and rice by Tien Duc Chu, Trang Thi Thu Nguyen, Anh Tuan Le, Truong Thi Hoang, Chuyen Van Nguyen, Trung Hoang Nguyen, Hoa Thi Vu, Dat Trong Nguyen, Ngoc Thi Minh Nguyen, Tuan Ngoc Nguyen, Ba Van Nguyen

“…Optimal parameters include: saturation of the antibody coating on magnetic nanoparticles, suitable nitrocellulose membrane, and optimal antibody concentration on the test line. …”
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Skull fracture detection for point-of-care diagnostics using microwave technique by Mariella Särestöniemi, Daljeet Singh, Jarmo Reponen, Mikael von und zu Fraunberg, Teemu Myllylä

“…The most optimal frequency ranges for detection are 3–5 GHz and 9 GHz. …”
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Results of various somatic mutations detection in patients with chronic myeloid leukemia by E. A. Kuzmina, E. Yu. Chelysheva, B. V. Biderman, O. A. Shukhov, E. A. Stepanova, E. P. Gadzhieva, A. N. Petrova, I. S. Nemchenko, A. V. Bykova, M. A. Guryanova, A. V. Kokhno, A. G. Turkina, A. B. Sudarikov

“…In one patient ASXL1 mutation (AF 5 %) was detected only at diagnosis, and was not detected subsequently with optimal response to therapy.Conclusion. …”
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Downstream Semantic Segmentation Model for Low-Level Surface Crack Detection by Thitirat Siriborvornratanakul

“…As surface crack detection is essential for roads and other building structures in most countries, this has been a very popular topic in computer vision for automating structural health monitoring. …”
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Deep learning-based GNSS composite jamming detection and recognition technology by Chenxuan Liu, Chenxuan Liu, Binbin Ren, Binbin Ren, Yuchen Xie, Yuchen Xie, Feiqiang Chen, Feiqiang Chen

“…The optimal signal preprocessing method is identified, and quantitative conclusions are obtained. …”
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Multicancer Early Detection Tests: A State‐of‐the‐Art Review for Otolaryngologists by Elena Kennedy, Greg Durm, Janice L. Farlow

“…While MCED technologies hold great promise for early detection of disease and potential reduction of morbidity and mortality, more study is needed about their utility for head and neck cancer and optimal diagnostic workflows.…”
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Reliability of Three Disability Scales for Detection of Independence Loss in Parkinson’s Disease by Anders Bjornestad, Ole-Bjorn Tysnes, Jan Petter Larsen, Guido Alves

“…Barthel ADL index had 67% sensitivity and 78% specificity in detecting dependency at its optimal cut-off value. …”
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Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction by Jiao Jiao, Longlong Xiao, Chonglei Wang

“…To solve the above problems, this paper proposes a hyperspectral anomaly detection method based on intrinsic image decomposition and background subtraction. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…Detecting epileptic seizures automatically through intelligent methods has been a main challenge in recent years. …”
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Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…The algorithm offers significant advantages in lightweight design and real-time performance, outperforming other classical object detection algorithms and providing an optimal solution for real-time field diagnosis.…”
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A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

“…High-quality community detection in complex networks typically relies on the similarity between nodes to select communities. …”
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Convolutional Edge Constraint-Based U-Net for Salient Object Detection by Le Han, Xuelong Li, Yongsheng Dong

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Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease by Ivar R. deVries, Judith O. E. H. vanLaar, Marieke B. van der Hout‐van der Jagt, Sally‐Ann B. Clur, Rik Vullings

“…Abstract Introduction This study aims to investigate non‐invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence. …”
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Designing an immunosensor for detection of Brucella abortus based on coloured silica nanoparticles by Arash Shams, Bahareh Rahimian Zarif, Mojtaba Salouti, Reza Shapouri, Sako Mirzaii

“…This designed colorimetric immunoassay strategy can be used as an alternative, user-friendly and on-site tool for the rapid detection of Brucella spp. compared to other common methods with high sensitivity and specificity in a short time.…”
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Ice Thickness Detection of Transmission Lines Based on Cross-Guide-UNet by Yu Zhang, Yangyang Jiao, Yinke Dou, Liangliang Zhao, Qiang Liu, Yang Liu

“…The CG-UNet model effectively detects ice-covered edges through experimental analysis, achieving optimal dataset scale (ODS) and optimal image scale (OIS) scores of 0.934 and 0.938, respectively. …”
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Integrating Sentiment Analysis With Machine Learning for Cyberbullying Detection on Social Media by Maram Fahaad Almufareh, Noor Zaman Jhanjhi, Mamoona Humayun, Ghadah Naif Alwakid, Danish Javed, Saleh Naif Almuayqil

“…Furthermore, we provide the most optimal text preprocessing steps which are ordered in a way that improves text quality for cyberbullying detection. …”
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Practical study for comparing edge detection filters in digital image processing by Yahya Ismail Ibrahim, Israa Mohammed Alhamdani

“…Also, a hybrid method that merges between Canny filter and morphology operations were produced for edge detection. …”
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