Detection of gene mutation in a case of Nagashima-type palmoplantar keratoderma by CAO Yuanyuan, YUAN Zhaojun, JIN Chuanyang, WANG Tianzi, LIAO Xiaojie, LIU Hong

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Comparisons of performances of structural variants detection algorithms in solitary or combination strategy. by De-Min Duan, Chinyi Cheng, Yu-Shu Huang, An-Ko Chung, Pin-Xuan Chen, Yu-An Chen, Jacob Shujui Hsu, Pei-Lung Chen

“…Numerous algorithms for short-read SV detection exist, but none are universally optimal, each having limitations for specific SV sizes and types. …”
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Metagenomic Detection of Multiple Viruses in Monk Parakeet (Myiopsitta monachus) in Australia by Babu Kanti Nath, Suman Das Gupta, Saranika talukder, Nasrin Sultana Tonu, Shane R. Raidal, Jade K. Forwood, Subir Sarker

“…Subsequent sequence comparison and phylogenetic analyses further confirmed that the detected viruses belong to the genera Chaphamaparvovirus (unassigned species), Circovirus (species Circovirus parrot) and Siadenovirus (species Siadenovirus viridis). …”
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Optimized Deep Belief Network for Efficient Fault Detection in Induction Motor by Pradeep Katta, K. Karunanithi, S. P. Raja, S. Ramesh, S. Vinoth John Prakash, Deepthi Joseph

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Clinical Performance of MAGLUMI Diagnostic Tests for the Automated Detection of Dengue Virus by Bo Peng, Zhonggang Fang, Cong Li, Kun Liu, Ting Wang, Ke Huang, Fan Yang, Yalan Huang, Chunli Wu, Yue Li, Dana Huang, Qian Zhang, Yijun Tang, Xiaolian Liu, Wei Rao, Xiaolu Shi

“…Conclusions: The MAGLUMI Denv NS1 represents a highly sensitive laboratory testing method capable of enhancing the diagnostic accuracy and efficiency of dengue virus infection detection.…”
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Automated Detection of Short Optical Transients of Astrophysical Origin in Real Time by Marcin Sokołowski, Katarzyna Małek, Lech W. Piotrowski, Grzegorz Wrochna

“…The detection of short optical transients of astrophysical origin in real time is an important task for existing robotic telescopes. …”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…In the last decades, numerous approaches to automate this detection have been proposed and, more recently, machine learning has shown very promising performance. …”
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An Exponential Active Queue Management Method Based on Random Early Detection by Hussein Abdel-Jaber

“…One of the extensively investigated congestion control techniques is random early detection (RED). To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s). …”
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Research on Aircraft Surface Taxi Path Planning and Conflict Detection and Resolution by Ningning Zhao, Nan Li, Yu Sun, Lei Zhang

“…Based on the results of aircraft surface taxiway preselection, the time window of the taxiing area is solved and conflict detection is performed. For aircraft with taxiing conflicts, waiting or changing paths is selected to deconflict taxiing by comparing priorities. …”
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Molecular network analysis for detecting HIV transmission clusters: insights and implications by Yangyang Liu, Lichun Hua, Wenqian Wu, You Ge, Wei Li, Pingmin Wei

“…ObjectiveIn order to improve knowledge of HIV transmission dynamics and guide preventive and control strategies, this work uses molecular cluster analysis to objectively detect clusters of HIV genetic sequence similarity.Methods89 HIV-positive couples provided blood samples, and plasma was separated for pol region gene sequence amplification. …”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The proposed method constitutes a significant advancement in the field, providing a robust solution to the intricacies of microbiome data analysis and amplifying the potential of DL methods in disease detection.…”
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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

“…Their analysis focused on an IoT deep learning architecture suitable for disease detection. It also recognizes the different factors that require the attention of researchers to develop better IoT disease detection systems. …”
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Effect Analysis of Optical Masking Algorithm for GEO Space Debris Detection by Sijie Kong, Jin Zhou, Wenli Ma

“…A method with high detection rate, low false-alarm rate, and low computational cost is presented for removing stars and noise and detecting space debris with signal-to-noise ratio (SNR>3) in consecutive raw frames. …”
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Analysis of Edge Detection in Bar Code Symbols: An Overview and Open Problems by Saša Krešić-Jurić

“…Since speckle noise is the most dominant form of noise in laser bar code scanners, it is important to fully understand its effects on edge detection. Starting with the basic statistical properties of speckle patterns, we present stochastic analysis of speckle noise. …”
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An FPGA-Based Omnidirectional Vision Sensor for Motion Detection on Mobile Robots by Jones Y. Mori, Janier Arias-Garcia, Camilo Sánchez-Ferreira, Daniel M. Muñoz, Carlos H. Llanos, J. M. S. T. Motta

“…This work presents the development of an integrated hardware/software sensor system for moving object detection and distance calculation, based on background subtraction algorithm. …”
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Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China by Ying Wu, Wensheng Wang, Guoqing Wang

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Distributed Fault-Tolerant Event Region Detection of Wireless Sensor Networks by Dyi-Rong Duh, Ssu-Pei Li, Victor W. Cheng

“…Moreover, every event region can also be detected and identified. Simulation results show that fault detection accuracy (FDA) is greater than 92%, false alarm rate (FAR) is near 0%, and event detection accuracy (EDA) is greater than 99% under uniform distribution. …”
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Abnormal Event Detection in Wireless Sensor Networks Based on Multiattribute Correlation by Mengdi Wang, Anrong Xue, Huanhuan Xia

“…Abnormal event detection is one of the vital tasks in wireless sensor networks. …”
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A Fast and Robust Ellipse-Detection Method Based on Sorted Merging by Gangyi Wang, Guanghui Ren, Zhilu Wu, Yaqin Zhao, Lihui Jiang

“…A fast and robust ellipse-detection method based on sorted merging is proposed in this paper. …”
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Evaluation of Scintillation Counter Detector Using Gamma Radiation for Gold Detection by Julia Ragab Khalil, Wael Hessen Alawad, Adil Elrayah, Ali Sulaiman Mohamed, Mubark Dirrar Abdallah, Azher S Barrak

“… The aim of this work is to evaluate the efficiency of a new gamma spectrometer technology using a scintillation counter detector. This technique can detect the backscattered gamma radiation emitted from the samples. …”
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