A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method by Yan Fang, Lu Liu, Qingyu Yang, Shuang Hao, Zhihai Luo

“…The present study employs a method whereby image noise is first reduced, followed by the implementation of an enhanced iteration of the U-Net algorithm to perform image segmentation and identify regions of interest for potential injury detection. …”
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THE RELIABILITY OF DETERMINING THE SHORT CIRCUIT ZONE OF THE LINES OF 6–35 kV by F. А. Romaniuk, E. V. Buloichyk, O. A. Huryanchyk, V. S. Kachenya

“…Having taken the relative simpleness of the current protection into account the authors consider the unilateral remote method of accounting the parameters of the emergency mode and the type of fault to be the most suitable for the implementation of the algorithm of its functioning as compared with the existing methods of fault location. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. …”
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CENPF as a Potential Biomarker Associated with the Immune Microenvironment of Renal Cancer by Meilin Chen MS, Xiuxin Tang MS, YanPing Liang MD, Tangdang Ding MS, Meifang He PhD, Dong Wang PhD, Ruizhi Wang PhD

“…Single-cell sequencing data from the GSE159115 dataset were analyzed, and the CIBERSORT algorithm was applied to evaluate the composition of tumor immune infiltrating cells (TIICs). …”
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Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an Adaptive Kalman Filter by Germán Martínez-Navarro, Salvador Orts-Grau, José Carlos Alfonso-Gil, Pedro Balaguer-Herrero

“…This work proposes new definitions for the spectral energy aggrupation to improve signal component detection for the IEC standard. Furthermore, an adaptive Kalman filter algorithm is developed that enables the exact identification in real time of the frequency, amplitude, and phase of these components. …”
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An online and real-time adaptive operational modal parameter identification method based on fog computing in Internet of Things by Cheng Wang, Haiyang Huang, Jianwei Chen, Wei Wei, Tian Wang

“…Moreover, to reduce the time and space complexity of the operational modal analysis algorithm and support the real-time performance of fog computing, a limited memory eigenvector recursive principal component analysis–based operational modal analysis approach is proposed. …”
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Advances in the Diagnosis and Management of Pediatric Acute Respiratory Distress Syndrome: An Overview of PALICC-2 Guidelines by Chih-Ting Su, Chia-Sui Chou, Wei-Yu Chen, Pei-Chen Tsao, Mei-Jy Jeng, Yu-Sheng Lee

“…The manuscript revisits the initial definition of acute respiratory distress syndrome (ARDS) and the nuanced distinctions between ARDS and PARDS to provide a foundational understanding. An approach algorithm for PARDS has been developed to improve the precision of disease detection. …”
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Recording behaviour of indoor-housed farm animals automatically using machine vision technology: A systematic review. by Kaitlin Wurtz, Irene Camerlink, Richard B D'Eath, Alberto Peña Fernández, Tomas Norton, Juan Steibel, Janice Siegford

“…The aim of this review is to provide a systematic overview of the advances that have occurred in automated, high throughput image detection of farm animal behavioural traits with welfare and production implications. …”
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The Virtual Power Feedback: Enhancing the Transient Stability of Virtual Synchronous Generators Under Current Limitation by Alessia Camboni, Vincenzo Mallemaci, Fabio Mandrile, Radu Bojoi

“…The virtual synchronous generator (VSG) concept is a well-established control solution that facilitates the integration of power electronics-interfaced renewable sources into the electric grid. The VSG algorithm enables power converters to support the grid in case of voltage dips by injecting a large short-circuit current. …”
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Robot Floor-Tiling Control Method Based on Finite-State Machine and Visual Measurement in Limited FOV by Shun Wang, Huixing Zhou, Zhongyue Zhang, Xiaoyu Zheng, Yannan Lv

“…This paper proposes a robot floor-tiling control strategy based on visual measurement feedback and finite-state machine, in which the calculation of tile position information in limited field of vision is obtained by an improved Canny edge detection and a Hough linear transformation. Moreover, an algorithm for complementing tile position information based on visual measurement is proposed, and the quality of tile laying is evaluated online. …”
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A Study on Distributed Multi-Sensor Fusion for Nonlinear Systems Under Non-Overlapping Fields of View by Liu Wang, Yang Zhou, Wenjia Li, Lijuan Shi, Jian Zhao, Haiyan Wang

“…The algorithm’s computational complexity remains on par with the standard GM-JMNS-CPHD filter. …”
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PRICE ESTIMATION OF LIMIT ORDER WITH HIGH EXECUTION PROBABILITY by I. O. Morozov, S. A. Pottosina

“…It is shown and proved by practical results that algorithm allows successfully detect price of limit order for good position entry and exit.…”
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Graph cut-based segmentation for intervertebral disc in human MRI by Leena Silvoster, R. Mathusoothan S. Kumar

“…In the second phase, the method applies the s-t max-flow/min-cut algorithm to separate an IVD from the background. This method effectively detects degenerated and healthy IVDs by applying the s-t max-flow/min-cut algorithm within a directed graph. …”
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NRNH-AR: A Small Robotic Agent Using Tri-Fold Learning for Navigation and Obstacle Avoidance by Carlos Vasquez-Jalpa, Mariko Nakano, Martin Velasco-Villa, Osvaldo Lopez-Garcia

“…By integrating computer vision techniques based on a Convolutional Neuronal Network (CNN), the algorithm enhances its abilities to understand visual observations of the environment rapidly and detect a specific object, avoiding obstacles.…”
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Crack Tracking in Small-Diameter Metal Pipe Using Controlled Motor Vibrations and Flexible Sensor by Md Rabiul Awal, Nurul Atiqah Tajulmar, Muhammad Syarifuddin Yahya, Nurafnida Afrizal, Wan Hafiza Wan Hassan, Nurul Adilah Abdul Latiff, Shakir Saat

“…We have set 300 a.u. as the threshold margin and applied it to an algorithm. The algorithm can successfully detect a healthy or cracked pipe. …”
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Control de configuraciones peligrosas en instalaciones con riesgo asociado // Hazardous configurations control in risk related facilities by Antonio Torres - Valle

“…The paper presents the use of algorithm beginning from the analysis of</p><p>the simplified safety system.…”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The machine learning algorithms can handle high-dimensional nonlinear data with complex interactions, outperform traditional statistical models in ecology, and have been effectively used for plant classification, phenology detection, crop growth detection, and yield prediction. …”
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BPDM-GCN: Backup Path Design Method Based on Graph Convolutional Neural Network by Wanwei Huang, Huicong Yu, Yingying Li, Xi He, Rui Chen

“…To address the problems of poor applicability of existing fault link recovery algorithms in network topology migration and backup path congestion, this paper proposes a backup path algorithm based on graph convolutional neural to improve deep deterministic policy gradient. …”
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Co-Colonization of Non-<i>difficile</i> Clostridial Species in Antibiotic-Associated Diarrhea Caused by <i>Clostridioides difficile</i> by Daniel Salas-Treviño, Samantha Flores-Treviño, Carlos Cisneros-Rendón, Cristian Valdemar Domínguez-Rivera, Adrián Camacho-Ortiz

“…Hospitalized confirmed CDI cases were analyzed. CDI detection was performed using a 2-step diagnostic algorithm, including glutamate dehydrogenase (GDH) with toxin A/toxin B assays and molecular detection of the <i>tpi</i> gene. …”
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Assessment of synthetic post-therapeutic OCT images using the generative adversarial network in patients with macular edema secondary to retinal vein occlusion by Shi Feng, Jingyuan Yang, Xinyu Zhao, Jianchun Zhao, Yunfeng Du, Weihong Yu, Dayong Ding, Xirong Li, Youxin Chen

“…Three supporting models, namely, the macular detection model, retinal stratification model, and lesion detection model, were constructed. …”
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