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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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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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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Determining the Ability of Senior Dental Students to Detect Interproximal Caries Using Different Radiographic Techniques by Muzan Abdalla, Saadika B. Khan

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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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Angle and Context Free Grammar Based Precarious Node Detection and Secure Data Transmission in MANETs by Anitha Veerasamy, Srinivasa Rao Madane, K. Sivakumar, Audithan Sivaraman

“…Another mechanism proposed in this paper, Angle and Context Free Grammar (ACFG) based precarious node elimination and secure communication in MANETs, intends to secure data transmission and detect precarious nodes in a MANET at a comparatively lower cost. …”
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Multiple Gamma-Ray Detection Capability of a CeBr3 Detector for Gamma Spectroscopy by A. A. Naqvi, F. Z. Khiari, F. A. Liadi, Khateeb ur-Rehman, M. Raashid, A. A. Isab

“…This narrower region of background gamma rays allows the CeBr3 detector to detect more than one gamma ray to analyze the gamma-ray spectrum. …”
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Detecting and Mitigating Smart Insider Jamming Attacks in MANETs Using Reputation-Based Coalition Game by Ashraf Al Sharah, Taiwo Oyedare, Sachin Shetty

“…In this paper, we propose a novel reputation-based coalition game in MANETs to detect and mitigate insider jamming attacks. Since there is no centralized controller in MANETs, the nodes rely heavily on availability of transmission rates and a reputation for each individual node in the coalition to detect the presence of internal jamming node. …”
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Detecting second mesiobuccal canal in maxillary first molars in Erbil citizens: CBCT Retrospective study. by Mustafa T. Mohamadamin, Karam A. Thiab, Ribwar F. Khalid, Khidir M. Khidir

“…These results indicate that CBCT is an effective, high-precision diagnostic tool for detecting canals. …”
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Fuzzy Logic Based Hardware Accelerator with Partially Reconfigurable Defuzzification Stage for Image Edge Detection by Aous H. Kurdi, Janos L. Grantner, Ikhlas M. Abdel-Qader

“…In this paper, the design and the implementation of a pipelined hardware accelerator based on a fuzzy logic approach for an edge detection system are presented. The fuzzy system comprises a preprocessing stage, a fuzzifier with four fuzzy inputs, an inference system with seven rules, and a defuzzification stage delivering a single crisp output, which represents the intensity value of a pixel in the output image. …”
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