Study of Point Scanning Detection Mechanisms for Vibration Signals with Wavefront Sensors by Quan Luo, Hongsheng Luo, Yiyou Fan, Guihan Wu, Haoming Chen, Yun Pan, Wei Jiang, Jinshan Su

“…This work establishes a vibration signal point scanning detection system utilizing wavefront sensors, leveraging their high resolution, array detection capabilities, and the independent detection of each microlens based on research into seismic wave laser remote sensing detection. …”
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A Multistage Detection Framework Based on TFA and Multiframe Correlation for HFSWR by Zongtai Li, Gangsheng Li, Ling Zhang, Lanjun Liu, Q. M. Jonathan Wu

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Analysis of Travel Hot Spots of Taxi Passengers Based on Community Detection by Shuoben Bi, Yuyu Sheng, Wenwu He, Jingjin Fan, Ruizhuang Xu

“…This study used community detection to analyze taxi passengers’ travel hot spots based on taxi pick-up and drop-off data, combined with multisource information such as land use, in the main urban area of Nanjing. …”
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A Rectangular Planar Spiral Antenna for GIS Partial Discharge Detection by Xiaoxing Zhang, Yefei Han, Wei Li, Xuetao Duan

“…A comparative study between characteristics of the designed antenna and the existing quasi-TEM horn antenna was made. Based on the GIS defect simulation equipment in the laboratory, partial discharge signals were detected by the designed antenna, the available quasi-TEM horn antenna, and the microstrip patch antenna, and the measurement results were compared.…”
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Harnessing artificial intelligence and machine learning for fraud detection and prevention in Nigeria by Oluwaseun Isaac Odufisan, Osekhonmen Victory Abhulimen, Erastus Olarenwaju Ogunti

“…We discuss their applications in anomaly detection, behavioural analysis, risk scoring, and network analysis. …”
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Abnormal Event Detection via Multikernel Learning for Distributed Camera Networks by Tian Wang, Jie Chen, Paul Honeine, Hichem Snoussi

“…Analyzing video sequences from cameras set at different angles will provide enhanced performance for detecting abnormal events. In this paper, an abnormal detection algorithm is proposed to identify unusual events captured by multiple cameras. …”
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Improved QRD-M Detection Algorithm for Generalized Spatial Modulation Scheme by Xiaorong Jing, Mingyue Wang, Wei Zhou, Hongqing Liu

“…It will lead to imperfect detection performance with relatively high computational complexity by directly applying the original QR-decomposition with M algorithm (QRD-M) to the GSM scheme. …”
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Interprofessional Collaboration in the Detection of and Early Intervention in Child Maltreatment: Employees' Experiences by Jaana Inkilä, Aune Flinck, Tiina Luukkaala, Päivi Åstedt-Kurki, Eija Paavilainen

“…This study depicts interprofessional collaboration associated with the detection of and early intervention in child maltreatment taking place in the family. …”
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On the Design and Development of Planar Monopole Antenna for Bone Crack/Void Detection by Ananda Venkatesan Boologam, Kalimuthu Krishnan, Sandeep Kumar Palaniswamy, Sachin Kumar, Shreya Bhowmik, Nivesh Sharma, Deepesh Vaish, Sourish Chatterjee

“…The presence of a crack in the bone is detected by observing the shift in the peak resonating frequency of the antenna. …”
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An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

“…According to the explainers, length of stay, means vermiform appendix detected on ultrasonography, white blood cells, and appendix diameter were the most crucial markers in detecting appendicitis. …”
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Enhancing microbial predator–prey detection with network and trait-based analyses by Cristina Martínez Rendón, Christina Braun, Maria Kappelsberger, Jens Boy, Angélica Casanova-Katny, Karin Glaser, Kenneth Dumack

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A Detection Algorithm for the BOC Signal Based on Quadrature Channel Correlation by Bo Qian, Guolei Zheng, Yongxin Feng

“…In order to solve the problem of detecting a BOC signal, which uses a long-period pseudo random sequence, an algorithm is presented based on quadrature channel correlation. …”
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Detection and treatment of a case of occupational related secondary oxalate nephropathy by Hang Liu, Li Zhen, Shihong Shao, Yan Xu, Xuemei Liu

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Electricity Theft Detection in Power Grids with Deep Learning and Random Forests by Shuan Li, Yinghua Han, Xu Yao, Song Yingchen, Jinkuan Wang, Qiang Zhao

“…Finally, experiments are conducted based on real energy consumption data, and the results show that the proposed detection model outperforms other methods in terms of accuracy and efficiency.…”
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DETECTION, IDENTIFICATION, AND ANTIBIOTIC RESISTANCE PATTERNS OF FOODBORNE BACTERIAL AND FUNGAL PATHOGENS by Shakir Ullah, Hayat Khan, Usman Saeed, Ismail Shahid, Yasir Zubair, Maryam Bibi, Umair Islam, Basit Ali, Usman Shah, Muhammad Iqbal Khan Rahman

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Role of Cardiac Magnetic Resonance in Detecting Biventricular Apical Hypertrophic Cardiomyopathy by Nathan Zaher, Hammam Shereef, Rashid Al Hussain, John Dawdy, Diane Levine, M. Chadi Alraies

“…ApHCM with right ventricular involvement (BiApHCM) is largely unreported and may not be detected with conventional transthoracic echocardiogram (TTE) alone. …”
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Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus by Jamie D. Yates, Megan M. Dewdney, Ronald H. Brlansky

“…CH202/CH202: Exotic Citrus Diseases: Early Detection is the Solution to Protecting Florida Citrus (ufl.edu) …”
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Hole Detection for Quantifying Connectivity in Wireless Sensor Networks: A Survey by Pearl Antil, Amita Malik

“…This paper discusses different types of holes and significance of hole detection in wireless sensor networks. Coverage hole detection schemes have been classified into three categories based on the type of information used by algorithms, computation model, and network dynamics for better understanding. …”
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Detection, Localization, and Quantification of Damage in Structures via Artificial Neural Networks by Daniele Kauctz Monteiro, Letícia Fleck Fadel Miguel, Gustavo Zeni, Tiago Becker, Giovanni Souza de Andrade, Rodrigo Rodrigues de Barros

“…This paper presents a structural health monitoring method based on artificial neural networks (ANNs) capable of detecting, locating, and quantifying damage in a single stage. …”
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Characteristics of Small Bowel Polyps Detected in Cowden Syndrome by Capsule Endoscopy by Keita Saito, Eiki Nomura, Yu Sasaki, Yasuhiko Abe, Nana Kanno, Naoko Mizumoto, Rika Shibuya, Kazuhiro Sakuta, Makoto Yagi, Kazuya Yoshizawa, Daisuke Iwano, Takeshi Sato, Shoichi Nishise, Yoshiyuki Ueno

“…Capsule endoscopy is useful for detecting small bowel polyps in Cowden syndrome.…”
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