Urban Surface Water Mapping from VHR Images Based on Superpixel Segmentation and Target Detection by Qingwei Liu, Yugang Tian, Lihao Zhang, Bo Chen

Subjects: “…Sparse target detection…”
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Transcriptomic analysis of the defense response in “Cabernet Sauvignon” grape leaf induced by Apolygus lucorum feeding by Heng Yao, Suhong Gao, Tianhua Sun, Guona Zhou, Changkuan Lu, Baojia Gao, Wenshu Chen, Yiming Liang

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Detecting Communities in Complex Networks Using an Adaptive Genetic Algorithm and Node Similarity-Based Encoding by Sajjad Hesamipour, Mohammad Ali Balafar, Saeed Mousazadeh

“…Detecting communities in complex networks can shed light on the essential characteristics and functions of the modeled phenomena. …”
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The emerging role of blood-based biomarkers in early detection of colorectal cancer: A systematic review by Faris Shweikeh, Yuhao Zeng, Abdur Rahman Jabir, Erica Whittenberger, Saurav P. Kadatane, Yuting Huang, Mohamad Mouchli, Dani Ran Castillo

“…Background: Colorectal cancer (CRC), the third most commonly diagnosed and second most lethal cancer worldwide, necessitates efficient early detection strategies to improve patient outcomes. This review evaluates the promise of novel blood-based biomarkers for early detection of CRC. …”
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Colon Capsule Endoscopy: Detection of Colonic Polyps Compared with Conventional Colonoscopy and Visualization of Extracolonic Pathologies by Alexander F Hagel, Erwin Gäbele, Martin Raithel, Wolfgang H Hagel, Heinz Albrecht, Thomas M de Rossi, Christine Singer, Thomas Schneider, Markus F Neurath, Michael J Farnbacher

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PCR-Based Detection and Genotyping of Helicobacter pylori in Endoscopic Biopsy Samples from Brazilian Patients by Silvia M. Ferreira Menoni, Sandra Helena Alves Bonon, José Murilo Robilota Zeitune, Sandra Cecília Botelho Costa

“…PCR was used in the detection and genotyping of the H. pylori urease-C gene and the patterns which were obtained from the patients studied. 141 biopsy samples from 131 patients were evaluated. 59 paraffin biopsies samples were positive for H. pylori according to the histological examination. …”
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ASEAN Defence Ministers MeetingPlus: Institutional structure, specific features, and evolution (2010–2022) by K. G. Muratshina

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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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Dissipative Filter Design for Nonlinear Time-Varying-Delay Singular Systems against Deception Attacks by Guobao Liu, Shibin Shen, Xianglei Jia

“…This paper applies a T-S fuzzy model to depict a class of nonlinear time-varying-delay singular systems and investigates the dissipative filtering problem for these systems under deception attacks. The measurement output is assumed to encounter random deception attacks during signal transmission, and a Bernoulli distribution is used to describe this random phenomena. …”
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Deepfake detection models and methods in artificial intelligence and ‎insights from media and social culture perspective by Soheil Fakheri, Azamossadat Nourbakhsh, Mohammadreza Yamaghani

“…The primary objective is to analyze various methods for detecting deepfakes and examine their social and legal implications.Methodology: The research categorizes and evaluates four types of deepfake detection methods: deep learning-based, classical machine learning-based, statistical, and blockchain-based approaches. …”
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Recommendations for the Detection and Mitigation of Laurel Wilt Disease in Avocado and Related Tree Species in the Home Landscape by Jonathan Henry Crane, Jeff Wasielweski, Daniel Carrillo, Romina Gazis, Bruce Schaffer, Fredy Ballen, Edward Evans

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Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach by Akella S. Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Eswara Prasad Konakalla, Marwa M. Eid, Nataliia Titova, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

“…Abstract The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. …”
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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory by Qilong Miao, Xiaofeng Shen, Chenfei Xie, Yong Gao, Lu Chen

Subjects: “…target detection…”
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Detection of Malignancy Associated Changes in Cervical Cell Nuclei Using Feed-Forward Neural Networks by Roger A. Kemp, Calum MacAulay, David Garner, Branko Palcic

“…The correct classification rate using feed‐forward neural networks is compared to linear discriminant analysis when applied to detecting MACs. Classifiers were designed using 53 nuclear features calculated from images for each of 25,360 normal appearing cells taken from 344 slides diagnosed as normal or containing severe dysplasia. …”
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Design and Bulk Sensitivity Analysis of a Silicon Nitride Photonic Biosensor for Cancer Cell Detection by Prasanna Kumaar S., Sivabramanian A.

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Leveraging Autofluorescence for Tumor Detection, Diagnosis, and Accurate Excision with Surgical Margin Assessment in Tumor Excision by Antonis Perdiou, Ramona Dumitrescu, Daniela Jumanca, Octavia Balean, Ruxandra Sava-Rosianu, Serban Talpos, Dacian Virgil Lalescu, Atena Galuscan

“…<b>Conclusions:</b> Autofluorescence-guided surgery improves the detection of tumor-free margins and may serve as an effective adjunct in oral cancer management. …”
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Microplastics in food products: Prevalence, artificial intelligence based detection, and potential health impacts on humans by M. Amin Mir, Muhammad Azhar Ali Khan, Bimal Krishna Banik, Syed M. Hasnain, Lina Alzayer, K. Andrews, Sani I. Abba

“…Over the past decade, microplastics have been detected in a wide variety of food items, including seafood, salt, processed foods, and beverages. …”
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Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm by Quanping Shen, Songzhong Ye

“…In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. …”
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Construction of a pathogenic microorganism detection method based on third-generation nanopore sequencing data by Guoqin Mai, Jiayi Chen, Min Zhang, Wanyue Zhang, Yuting Luo, Ying Dai

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Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance by Sulaiman O. Atiku, Ibidun C. Obagbuwa

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