Comparative analysis and application of rockburst prediction model based on secretary bird optimization algorithm by Tengjie Yang, Tengjie Yang, Xinqiang Gao, Xinqiang Gao, Lichuan Wang, Yongqing Xue, Haobo Fan, Zhengguo Zhu, Zhengguo Zhu, Jingbo Zhao, Beiyi Dong, Beiyi Dong

“…The accurate rockburst prediction is crucial for ensuring the safety of underground engineering construction. Among the various methods, machine learning-based rockburst prediction can better solve the nonlinear relationship between rockbursts and influencing factors and thus has great potential for engineering applications. …”
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Combined surgery of cataract and glaucoma with drainage «Repegel A-1» implantation by E.A. Ivachev

“…The proposed surgery method allows to reduce intraocular pressure from 27.6 to 19.1 mm Hg, as well as to improve best corrected visual acuity from 0.31 to 0.5. …”
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Еstimation of Therapeutic Effect of Endonasal Electrophorosis with Methylethylpyridinol in Partial Optic Nerve Atrophy by A. M. Razumovskaya, M. I. Razumovsky, Yu. A. Koroviansky, E. S. Razumovsky

“…Purpose: to evaluate the therapeutic effect of the drug Emoxypin administered by the method of endonasal electrophoresis to patients with partial atrophy of the optic nerve (PAON).Patients and methods. …”
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A Safe and Efficient Brain–Computer Interface Using Moving Object Trajectories and LED-Controlled Activation by Sefa Aydin, Mesut Melek, Levent Gökrem

“…This paper proposes a novel approach to minimize the disadvantages of visual stimuli on the eye health of system users in BCI systems employing visual evoked potential (VEP) and P300 methods. …”
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Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images by Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu

“…Capsule endoscopy is a common method for detecting digestive diseases. The location of a capsule endoscope should be constantly monitored through a visual inspection of the endoscopic images by medical staff to confirm the examination’s progress. …”
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Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on Spectral Amplitude Modulation and Wavelet Threshold Denoising by Xiaojia Zu, Wenhao Sun, Yuncheng Guo, Yukai Zhao, Haihong Tang, Xue Jiang, Peng Chen

“…Finally, the envelope spectrum is normalized to facilitate the visual display of fault feature frequencies. The proposed method is analyzed through simulated and experimental signals in low-speed. …”
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INVESTIGATION OF THE OPTICAL BONE DENSITY OF THE ALVEOLAR PROCESSES IN THE AREA OF DEFECTS OF DENTITION by S.A. German

“…Usually densitometric indices are used for the quantitative evaluation of density structures and visualized by the method of computer tomography or the quantitative evaluation of density structures visualized using the method of computer tomography, the Hounsfield scale (HU) is called. …”
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Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

“…Nowadays, the growing scale of livestock farms makes it impractical to effectively monitor the animals individually. The traditional method of visual observation demands the continuous presence of livestock professionals and is extremely time-consuming. …”
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Innovative Damage Assessment of Endodontic Instruments Based on Digital Image Stacking by Raúl Argüello-Sánchez, Ivette Alejandra Calderón-Alday, Antonio Hernández-Morales, Benjamín Gonzalo Rodríguez-Méndez, Diego Medina-Castro, Régulo López-Callejas, Carlo Eduardo Medina-Solís

“…It offers a cost-effective and user-friendly alternative to traditional methods such as visual inspection and SEM, making it a comfortable and confident choice for both research and clinical settings.…”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…The main aim of the ODSDP-ADLMSSO model is to enhance the OD method for visually challenged people. At first, the Gaussian filter (GF) is employed in the image pre-processing stage to remove noise and make the image input data more transparent. …”
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Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table by Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu, Xiaohua Tong

“…This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. …”
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Will the machine perfusion of the liver increase the number of donor organs suitable for transplantation? by V. A. Gulyaev, S. V. Zhuravel’, M. S. Novruzbekov, O. D. Olisov, K. n Lutsyk, M. G. Minina, A. S. Mironov, N. K. Kuznetsova, K. M. Magomedov, M. Sh Khubutiya

“…There is always uncertainty about the viability of the organ. Modern methods for assessing donor organs such as donor history, laboratory data, visual examination and morphology, do not reliably predict liver function after transplantation. …”
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Emotion recognition based on brain and machine collaborative intelligence by Dongjun LIU, Yuhan WANG, Wenfen LING, Yong PENG, Wanzeng KONG

“…Emotion recognition is a direct and effective mode of emotion recognition.Machine learning relies on the formal representation of image expressions, lacks the cognitive representation ability of the brain, and has poor recognition performance on small sample data sets or complex expression (camouflage) data sets.To this end, the formal representation of machine artificial intelligence was combined with the emotional cognitive ability of human brain general intelligence, and a brain-machine collaborative intelligence emotion recognition method was proposed.Firstly, electroencephalogram (EEG) emotional features were extracted from EEG to obtain the brain’s cognitive representation of emotions.Secondly, the visual features of the image were extracted from the emotional image to obtain the machine’s formal representation of the emotion.In order to enhance the generalization ability of the machine model, the transfer adaptation between samples was introduced in the feature learning.After obtaining image visual features and EEG emotional features, the random forest regression model was trained to obtain the brain-machine mapping relationship between image visual features and EEG emotional features.The visual features of the test image were generated through the brain-machine mapping relationship to generate virtual EEG emotional features, and then the virtual EEG emotional features and image visual features were fused for emotion recognition.This method has been verified on the Chinese facial affective picture system (CFAPS) and found that the average recognition accuracy of the seven emotions is 88.51%, which is 3%～5% higher than the image-based method.…”
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Model-Based Segmentation-Supported Camera Tracking in Fab’s Indoor Environments by Jeonghyeon Ahn, Jungho Ha, Jaemin Son, Junghyun Han

“…The test results show that our tracking method is drift-free, accurate and robust. We envision that it can be used in many applications such as AR-based visual inspection.…”
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面向UG的差速器CAD系统开发 by 郑泉, 陈黎卿, 何钦章

“…Compared with the traditional design method, this method increased design precision and efficiency.…”
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Blind Recognition Algorithm of Multi-Carrier Composite Modulation Signal Based on Multi-Dimensional Time-Frequency Superimposed Spectrum by Shoubin Wang, Huan Li, Xiaolong Zhang, Hao Jiang, Lei Shen

“…The existing multi-carrier composite modulation recognition methods have failed to effectively integrate inner and outer modulation characteristics, thereby limiting the potential for improving recognition performance under low signal-to-noise ratio (SNR) conditions. …”
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Dust detection in western and southwestern Iran based on DAI index algorithm and Modis spectral data by Azar Faryabi, Hamid Reza Matinfar, Seyyed Kazem Alavi Panah, Ali Akbar Norouzi

“…Results and discussion: In general, it was found that all AOD maps generated from the direct method showed a very good spatial distribution of the local aerosol pattern compared to other methods. …”
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THE AUGMENTED REALITY FUNCTIONS TO SUPPORT THE STEAM EDUCATION AT GENERAL EDUCATION INSTITUTIONS by Наталія Сороко

“…Augmented reality classifications are provided depending on the data presentation methods, the type of AR devices, according to the type of information provided by the augmented reality, and the areas of use. …”
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Comparative Analysis of the Physicochemical Properties of Fresh, Solar-Dried, Oven-Dried and Commercial <i>Royal Gala</i> Apple Snacks by Lisete Fernandes, Pedro B. Tavares, João Siopa, Carla Gonçalves, Fernando M. Nunes

“…The findings highlight that drying method significantly affects snack quality. While solar- and oven-dried samples better preserve bioactive compounds, industrial processes enhance sweetness and visual appeal but increase the formation of potentially undesirable compounds. …”
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Clinical Rehabilitation Practice Guidelines on Standing Balance Disorder in Patients with Stroke by SHEN Ying, YIN Zhifei, MENG Dianhuai, SU Min, HE Jian, LAN Yue, WANG Chuhuai, ZOU Jun, JIANG Shan, TANG Congzhi, WANG Hongxing

“…Physical therapy and traditional Chinese treatment are effective rehabilitation methods for improving standing balance function in stroke patients. …”
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