Application of Algorithms of Constrained Fuzzy Models in Economic Management by Lingyan Meng, Dishi Zhu

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A survey of 3D object detection algorithms by Zhe HUANG, Yongcai WANG, Deying LI

“…3D object detection is a fundamental problem in autonomous driving，virtual reality，robotics，and other applications.Its goal is to extract the most accurate 3D box characterizing interested targets from the disordered point clouds，such as the closest 3D box surrounding the pedestrians or vehicles.The target 3D box's location，size，and orientation are also output.Currently，there are two primary approaches for 3D object detection: (1) pure point cloud based 3D object detection，in which the point clouds are created by binocular vision，RGB-D camera，and lidar; (2) fusion-based 3D object detection based on the fusion of image and point cloud.The various representations of 3D point clouds were introduced.Then representative methods were introduced from three aspects: traditional machine learning techniques; non-fusion deep learning based algorithms; and multimodal fusion-based deep learning algorithms in progressive relation.The algorithms within and across each category were examined and compared，and the differences and connections between the various methods were analyzed thoroughly.Finally，remaining challenges of 3D object detection were discussed and explored.And the primary datasets and metrics used in 3D object detection studies were summarized.…”
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Causes of Resistant Hypertension Detected by a Standardized Algorithm by Livia Beatriz Santos Limonta, Letícia dos Santos Valandro, Flávio Gobis Shiraishi, Pasqual Barretti, Roberto Jorge da Silva Franco, Luis Cuadrado Martin

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An optimal L∞-PLA algorithm for trajectory data compression by ZHAO Huanyu, SUN Guohao, LI Tongliang, YANG Jian, PANG Chaoyi

“…To attack this issue, data compression technology based on piecewise linear approximation (PLA), which is simple and intuitive, less compression storage and faster data transmission, has been widely researched. Currently, the optimal online PLA algorithm can not effectively compress multi-dimensional trajectory data. …”
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Regenerative braking control algorithm using the accelerator pedal by Butarovich D.O., Skotnikov G.I., Eranosyan A.V.

“…The developed algorithm is implemented in the MATLAB/Simulink simulation environment. …”
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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…Currently, underground coal mine target detection algorithms based on deep learning show poor performance in detecting complex small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced multi-class target scale distribution, often resulting in missed detection and false detection. …”
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Application of a deep learning algorithm for the diagnosis of HCC by Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto

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Current status and prospects of artificial intelligence in the diagnosis and treatment of bladder tumors by GAN Xiya, WEI Wei

“…This article reviews the current status and prospects of AI in the diagnosis and treatment of bladder tumors. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

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The new era of artificial intelligence in neuroradiology: current research and promising tools by Fabíola Bezerra de Carvalho Macruz, Ana Luiza Mandetta Pettengil Dias, Celi Santos Andrade, Mariana Penteado Nucci, Carolina de Medeiros Rimkus, Leandro Tavares Lucato, Antônio José da Rocha, Felipe Campos Kitamura

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A Review of Research on Flight Delay Propagation: Current Situation and Prospect by N. Li, H. G. Yao

“…At the same time, researchers also need to constantly explore and optimize algorithms to overcome their current limitations and further improve the reliability of predictions.…”
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Application of artificial neural networks for saturation correction in current and voltage transformers by E. A. Temnikov, K. I. Nikitin

“…The article investigates the application of artificial neural networks for saturation correction in current and voltage transformers. Under saturation conditions, these transformers can distort signals, leading to the incorrect operation of measuring and protection devices. …”
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Current status and future prospects of the application of artificial intelligence in clinical practice by LI Xinyu, YUAN Qian, ZHU Fenglei, YANG Tao

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Advances in Wearable Biosensors for Healthcare: Current Trends, Applications, and Future Perspectives by Dang-Khoa Vo, Kieu The Loan Trinh

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Low Anterior Resection Syndrome: Pathophysiology, Risk Factors, and Current Management by Seung Mi Yeo, Gyung Mo Son

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Low-Altitude Unmanned Aerial Vehicle Technology: Current Status and Prospects by Jun Zhang, Lei Chen, Zhijie Gao, Yingxian Duo

“…Through in-depth analysis of the current status and research trends across these three domains, the study proposes future technical directions focusing on bionic configurations, composite materials, multi-source fusion positioning, and hybrid intelligent algorithms. …”
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Current Transformer Saturation Detection Method Based on Artificial Neural Network by Yu. V. Rumiantsev

“…Thus, in its turn, results in trip time delay or even in a relay protection devices operation failure, since its settings and algorithms are calculated and designed on the assumption that the secondary current waveform is sinusoidal and proportional to the primary. …”
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Digitalization of human resource management: current trends and challenges for Russian enterprises by Mikhail K. Chernyakov, Irina A. Chernyakova

“…The article presents a comprehensive analysis of current digitalization trends in Russia, their impact on the efficiency of personnel processes, and the challenges faced by enterprises. …”
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Advanced Applications of Artificial Intelligence in Pharmacovigilance: Current Trends and Future Perspectives by Yogesh S Ahire, Jayesh H Patil, Harshita N Chordiya, Rashmi A Deore, Vinod A Bairagi

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Applications of machine learning in gravitational-wave research with current interferometric detectors by Elena Cuoco, Marco Cavaglià, Ik Siong Heng, David Keitel, Christopher Messenger

“…Abstract This article provides an overview of the current state of machine learning in gravitational-wave research with interferometric detectors. …”
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