A Spherical Micro Satellite Design and Detection Method for Upper Atmospheric Density Estimation by Zeyang Zhao, Zhaokui Wang, Yulin Zhang

“…Further, the least squares estimation method is used to solve the overdetermined linear equations and obtain the change of initial state of the satellite and the HP density model parameters relative to change of the satellite state. …”
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DETECTION OF THE SPECIFICITY OF PUBLIC REPRODUCTION OF THE AMUR REGION WITH THE HELP OF THE COBB – DOUGLAS PRODUCTION FUNCTION by S. G. Serikov

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World health Organization’s guidance for tracking non-communicable diseases towards sustainable development goals 3.4: an initiative for facility-based monitoringResearch in contex... by Arlene Quiambao, Mohammad-Reza Malekpour, Ali Golestani, Mahsa Heidari-Foroozan, Seyyed-Hadi Ghamari, Mohsen Abbasi-Kangevari, Benjamin O. Anderson, Prebo Barango, Elena Fidarova, Bianca Hemmingsen, Andre Ilbawi, Taskeen Khan, Roberta Ortiz Sequeria, Gojka Roglic, Sarah Rylance, Felipe Roitberg, Leanne Riley, Slim Slama, Lubna Bhatti, Melanie Cowan, Patricia Rarau, Stefan Savin, Farshad Farzadfar, Kouamivi Mawuenyegan Agboyibor, Ashutosh N. Aggarwal, Oyetayo Akala, Chaisiri Angkurawaranon, Hong Anh Chu, Ranjit Mohan Anjana, Carmen Antini, Zeba Aziz, Shannon Barkley, Abdul Basit, Partha Basu, Sara Benitez Majano, Kazi Bennoor, Jeffrey W. Brettler, Neslihan Cabioglu, Roberta Caixeta, Norman Campbell, Carolina Chavez, Sohel Reza Choudhury, Marilys Anne Corbex, Alvaro Cruz, Nemdia Daceney, Shona Dalal, Goodarz Danaei, Jean-Marie Dangou, Wouter De Groote, Cheick Bady Diallo, Issimouha Dille, Rolando Enrique Domingo, Gampo Dorji, Brucel B. Duncan, Uzochukwu Egere, Hicham El Berri, Asma El Sony, Mai Eltigani, Jill Farrington, Heba Fouad, Paola Friedrich, Soad Fuentes-Alabi, Angelo Gamarra, Edward Gregg, Reena Gupta, Sumit Gupta, Weiping Jia, Evelyn Jiagge, Pekka Jousilahti, Ratnasabathipillai Kesavan, Somesh Kumar, Tiina Laatikainen, Bagher Larijani, Maria Lasierra Losada, Tuyet Lan Le Thi, Naomi Levitt, Sylvana Luciani, Mauricio Maza, Bente Mikkelsen, Yousser Mohammad, Andrew Moran, Ali Motlagh, Stephen Mulupi, Raul H. Murillo, Miriam Mutebi, Rebecca Nantanda, Moffat Nyirenda, Patrick O’Connor, Dike Ojji, Gertrude Edna Omoro, Dolores Ondarsuhu, Pedro Ordunez, Mohamed Ould Sidi Mohamed, Mayowa Owolabi, Kazem Rahimi, Ivo Rakovac, Joao Filipe Raposo, Andres Rosende, Jane Rowley, Rengaswamy Sankaranarayanan, Vitaly Smelov, Josaia Tiko, Marcello Tonelli, Elena Tsoyi, Todd Tuttle, Cherian Varghese, Liliana Vásquez, Kavitha Viswanathan, Hongyi Xu, Cheng-Har Yip

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A Clustering Algorithm Based on the Detection of Density Peaks and the Interaction Degree Between Clusters by Yangming Liu, Jiaman Ding, Hongbin Wang, Yi Du

“…In order to cope with data with an irregular shape and uneven density, this paper proposes a two-phase clustering algorithm based on detecting the peaks of dimensional density and the degree of interaction between clusters (CPDD-ID). …”
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DETECTION OF THE INFLUENCE OF TRANSCRANIAL ELECTROSTIMULATION ON THE STESS RESISTANCE OF STUDENTS BY THE TEST OF T. HOLMES AND R. RAHE by A. H. Kade, S. K. Achedzhak-Naguze, O. A. Tereschenko

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The profile of Black South African men diagnosed with prostate cancer in the Free State, South Africa by Matthew O.A. Benedict, Wilhelm J. Steinberg, Frederik M. Claassen, Nathaniel Mofolo

“…Prostate-specific antigen (PSA) screening remains a practical method of screening for and thereby detecting PCa early, especially among African men who are more negatively affected. …”
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Effective Approach to Use Artificial Intelligence for Detecting Different Faults in Working Electrical Machines by Seyed Hamid Rafiei, Mansoor Ojaghi, Mahdi Sabouri

“…Artificial intelligence (AI) shows good potential for detecting and discriminating faults in electrical machines, however, they require initial training with sufficient data, which is almost impossible to collect for working electrical machines in the field. …”
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Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

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The Relevance of Osteoscintigraphy Technique in Early Detection of Bone Metastatic Lesions: a Systematic Review by E. A. Litvinenko, I. V. Burova

“…OSG is an effective and informative technique for early detection of bone metastases, allowing to assess the functional state of the tumor and its surrounding tissues, even before the appearance of structural disorders visible by other diagnostic methods. …”
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YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation by Uddin A Hasib, Raihan Md Abu, Jing Yang, Uzair Aslam Bhatti, Chin Soon Ku, Lip Yee Por

“…Methods The proposed framework benchmarks state-of-the-art models (InceptionV3, DenseNet, ResNet) for initial performance evaluation. …”
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FQDNet: A Fusion-Enhanced Quad-Head Network for RGB-Infrared Object Detection by Fangzhou Meng, Aoping Hong, Hongying Tang, Guanjun Tong

“…Compared to state-of-the-art RGB-IR object detection algorithms, our method strikes a better balance between detection accuracy and computational efficiency while exhibiting strong robustness across diverse detection scenarios.…”
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Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images by Lhuqita Fazry, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Lukito Edi Nugroho, Chi-Hung Chi, Wisnu Jatmiko

“…Change detection is a remote sensing task for detecting a change from two satellite images in the same area, while being taken at different times. …”
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…The paper also used a visualization technique to confirm that CNN learns dominantly from the segmented lung regions that resulted in higher detection accuracy. The proposed method with state-of-the-art performance can be useful in the computer-aided faster diagnosis of tuberculosis.…”
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Research on Simultaneous Localization and Intrusion Detection Methodology for Intelligent Trains Based on Multisource Fusion by ZENG Xiang, JIANG Guotao, LYU Yu, LI Cheng, PAN Wenbo, LUO Ziqi

“…The initial integration of LiDAR, inertial measurement unit (IMU), and point-cloud map data facilitates the development of a least squares optimization model, and this model is used to determine train motion states based on the graph optimization theory, fulfilling the task of train localization. …”
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Abstract 080: Continuous Automated Stroke Screening Software for Early Detection of Neurological Impairment by Mahsa Eskian, Vera Sharashidze, Jeremy J. Heit, Foad Taghdiri, Hesham Masoud, Grahame Gould

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Synergistic Adsorption and Fluorescence in Porous Aromatic Frameworks for Highly Sensitive Detection of Radioactive Uranium by Suming Zhang, Siyu Wu, Cheng Zhang, Doudou Cao, Yingbo Song, Yue Zheng, Jiarui Cao, Lu Luo, Yajie Yang, Xiangjun Zheng, Ye Yuan

“…At the same time, the fluorescence quenching effect of MIPAF-15 was observed upon its adsorption of uranyl ions, which allowed the selective detection of uranyl ions with a detection limit of 5.04 × 10⁻⁸ M, lower than the maximum concentration of uranyl ions in drinking water specified by the World Health Organization (6.30 × 10⁻⁸ M) and United States Environmental Protection Agency (1.11 × 10⁻⁷ M). …”
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Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems by Arthur A. B. Pessa, Leonardo G. J. M. Voltarelli, Lúcio Cardozo-Filho, Andres G. M. Tamara, Claudio Dariva, Papa M. Ndiaye, Matjaž Perc, Haroldo V. Ribeiro

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Reach-Avoid Games with a Time Limit and Detection Range: A Geometric Approach by Xi Chen, Jianqiao Yu, Kang Niu, Di Yang, Jiaxun Li

“…By analyzing the geometric property of the Apollonian circle and the detection range, we give the barrier under the condition that the attacker is initially detected and the attacker’s shortest route which guarantees its arrival at the target region when it is initially outside the detection range. …”
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Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

“…The YOLO models are initially trained on a dataset containing both images with and without cracks, producing a generalized model capable of extracting abstract features beneficial for crack detection. …”
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Actuator fault detection method of quadrotor UAV based on dual channel inertial sensors by Laihong Zhou, Hong Jin, Ping Chen, Jianqiang Xiong, Chengdi Li, Wenming Xiong

“…Abstract Aiming at the problem of actuator failure of quadrotor unmanned aerial vehicle (UAV), a novel fault detection method based on dual channel inertial sensors is proposed. …”
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