Management of Aberrant Frenal Attachments in Adults by Scalpel Method and 980 nm Diode Laser by Jaahnavi Lanka, Pratibha Gopalkrishna, Santhosh Kumar

“…Treatment modalities like electrosurgery and lasers have emerged as effective painless alternatives to scalpel methods for a frenectomy. The present case series involves ten patients, diagnosed with abnormal frenal attachments. …”
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A monocular distance measurement method for underground track obstacles based on deep learning by Yuanyuan XU, Qinghua CHEN, Yingsong CHENG

“…Aiming at the problem of anti-collision warning during underground electric locomotive running, a deep learning-based obstacle location method for underground track is proposed. Combining Yolov5 target detection and UFLD track detection algorithms, the monocular distance measurement is carried out by using the property of constant actual track width. …”
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Numerical Analysis of Airflow in Trachea Affected by Thyroid Cancer Using Finite Volume Method by Arif Fatahillah, Miftahul Jannah, Susi Setiawani, Toto Bara Setiawan, Arika Indah Kristiana

“…This problem is solved using the finite volume method with SIMPLE (Semi Implicit Method for Pressure Linked Equation) discretization. …”
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Rich pictures as a research method in project management – A way to engage practitioners by Carl Marnewick, Alejandro Romero-Torres, Julie Delisle

“…We highlight some benefits of the method, such as participant engagement and sense of ownership, and the outcome (visual artefact) can be used afterwards for feedback and communication.…”
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Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms by Martina Marinelli, Vincenzo Positano, Francesco Tucci, Danilo Neglia, Luigi Landini

“…The algorithm bases on mutual information (MI) as registration metric and on genetic algorithm as optimization method. A multiresolution approach was used to optimize the processing time. …”
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Novel video anomaly detection method based on global-local self-attention network by Jing YANG, Chengmao WU, Liuping ZHOU

“…In order to improve the accuracy of video anomaly detection, a novel video anomaly detection method based on global-local self-attention network was proposed.Firstly, the video sequence and the corresponding RGB sequence were fused to highlight the motion change of the object.Secondly, the temporal correlation of the video sequence in the local area was captured by the expansion convolution layer, along with the self-attention network was utilized to compute the global temporal dependencies of the video sequence.Meanwhile, by deepening the basic network U-Net and combining the relevant motion and representation constraints, the network model was trained end-to-end to improve the detection accuracy and robustness of the model.Finally, experiments were carried out on the public data sets UCSD Ped2, CUHK Avenue and ShanghaiTech, as well as the test results were visually analyzed.The experimental results show that the detection accuracy AUC of the proposed method reaches 97.4%, 86.8% and 73.2% respectively, which is obviously better than that of the compared methods.…”
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Implementation of the Waterfall Method in the Mobile Web-Based Outpatient Online Registration Information System by Jefril Rahmadoni, Ricky Akbar, Ahmad Syafruddin Indrapriyatna, Annisa Hasifah Cantika

“…The goal of this study is to create, design, and implement a web-based outpatient registration application at Batusangkar Regional Hospital. The research method used is qualitative descriptive research, which involves a series of activities or processes that reveal system processes. …”
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Projected Gradient Descent Method for Tropical Principal Component Analysis over Tree Space by Ruriko Yoshida

“…In this paper, we introduce a projected gradient descent method to estimate the tropical principal polytope over the space of phylogenetic trees, and we apply it to an Apicomplexa dataset. …”
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Dynamic Early Warning Method for Major Hazard Installation Systems in Chemical Industrial Park by Yaguang Kong, Chenfeng Xie, Song Zheng, Peng Jiang, Meng Guan, Fang Wang

“…Therefore, this paper adopts the data-driven approach. Inspired by visual qualitative analysis and quantitative analysis, a dynamic early warning method is proposed for MHIs. …”
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Effect of multi-refresh-rate method on user experience: sustained attention and inattentional blindness by Jieun Cho, Jeunghwan Choi, Cheongil Kim, Jeong Hyeon Park, Sang Chul Chong

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Quantification of paste homogeneity by vision-based identification method: Case study for an industrial mixer by Xiaorui Li, Zhaolin Yuan, Hezheng Wang, Yong Wang, Xiaojuan Ban

“…Properly mixing paste and cement is vital for enhancing backfill strength and paste flowability. However, existing methods lack real-time monitoring and intuitive usability. …”
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The Sound of G: A Method to Calculate The Acceleration Due to Gravity Using Acoustic Stopwatch by F. A. Pacala, U. Pili

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QLCM Method for Determining the Quality Level of Circular Movement in Floor Plans of Houses and Apartments by Kaja Pogačar, Stojan Kravanja

“…The method covers the aspects of movement and visibility. …”
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Research on Automatic Identification Method of Loess Earthquake Landslide Based on Remote Sensing Imagery by WANG Liansheng, LI ping, MU SongWei, TUO Zihan, Li Chen

“…Relying only on sensing technology to identify landslides does not ensure the authenticity and reliability of the database.This research was an application of VGG-Unet network for automatic identification of loess earthquake landslides based on field survey landslide data.Firstly, according to some loess earthquake landslides investigated by the earthquake landslide research team of the College of Disaster Prevention Science and Technology in the field of Gansu Province and Ningxia Hui Autonomous Region, the quantitative and qualitative analysis parameters for extracting loess earthquake landslides on the platform of satellite imagery by the visual interpretation method were accurately summarized. …”
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Monocular weakly supervised depth and pose estimation method based on multi-information fusion by Zhimin Zhang, Jianzhong Qiao, Shukuan Lin

“… Current monocular visual odometry methods usually either require a large amount of expensive ground truth data or require effective training to obtain suboptimal results. …”
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An Effective Method for Sensing Power Safety Distance Based on Monocular Vision Depth Estimation by Leixiong Wang, Bo Wang, Shulong Wang, Fuqi Ma, Xuzhu Dong, Liangzhong Yao, Hengrui Ma, Mohamed A. Mohamed

“…Therefore, this paper presents a power safety distance sensing method based on monocular visual images to achieve the recognition of the safety distance of external damage in complex scenes of transmission corridors, and proposed a power density depth distance model. …”
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Surrogate Model-based Fast Calculation of Power Cable Temperature Field: Method and Application by Li HUANG, Yun LIANG, Hui HUANG, Xiaoyan SUN, Shan WANG, Yuqiang YANG

“…Additionally, the surrogate model is optimized by the particle swarm algorithm, and the temperature field distribution is visualized with the grid node data. The calculation result of the internal temperature of the 110 kV single-core high-voltage cable shows that the proposed surrogate model-based fast calculation method for power cable temperature field has high accuracy and efficiency.…”
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Ghost Discrimination Method for Broadband Direct Position Determination Based on Frequency Coloring Technology by Mengling Yu, Long Yang, Yixin Yang, Xionghou Liu, Lu Wang

“…Recently proposed direct position determination (DPD) methods have garnered considerable interest in passive localization due to their excellent positioning accuracy. …”
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Method of the radio-frequency cold plasma nucleoplasty in treatment of a lumbar discogenic radiculopathy by B. B. Pavlov, Ya. V. Fishchenko, L. D. Kravchuk

“…Transcutaneous radiofrequency cold plasma nucleoplasty constitutes a secure and effective method of treatment of chronic lumbar discogenic radiculopathy.…”
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4KSecure: A Universal Method for Active Manipulation Detection in Images of Any Resolution by Paweł Duszejko, Zbigniew Piotrowski

“…This paper presents a method for actively safeguarding image integrity based on embedding a hidden signature generated by a neural network. …”
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