A Target Tracking Method Based on a Pyramid Channel Attention Mechanism by Dongxuan Zhao, Yunsong Li, Jiaxing Li, Xiping Duan, Ning Ma, Yuhe Wang

“…To enhance the tracking performance of transformer-based trackers in complex scenes, we propose a novel visual object tracking method that incorporates three key components: a pyramid channel attention mechanism, a hierarchical cross-attention structure, and an attention-guided multi-layer perceptron. …”
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Fusion PSPnet Image Segmentation Based Method for Multi-Focus Image Fusion by Jingchun Zhou, Mingliang Hao, Dehuan Zhang, Peiyu Zou, Weishi Zhang

“…Finally, 20 couples of color multi-focus images are employed as experimental datasets, and the contrast results show that the proposed method has a better fusion visual effect than the other state-of-the-art in subjective and objective point of view.…”
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Generation and Prospects of Development of Portrait Examination Methods Based on Three-Dimensional Images by V. A. Gazizov, I. N. Podvolotskiy

“…This approach integrates advances in machine learning, 3D modeling, and biometric analytics, opening up new horizons for identifying individuals based on anthropological features of appearance.This article focuses on the historical analysis and prospects for further improvement of portrait examination methods based on 3D models, identification of their strengths and limitations and on discussing potential areas of their practical application as well.According to the results of a survey conducted among specialists of public and private expert institutions, there is considerable interest on the part of practicing experts in using 3D scanning technologies to form comparative samples during portrait examination in order to increase the objectivity and visual availability of the examination results.…”
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A Method for Predicting Coupling Laws of UWB EMP to Millimeter Wave Detector by Kaibai Chen, Min Gao

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Fusion of auto encoders and multi-modal data based video recommendation method by Qiuyang GU, Chunhua JU, Gongxing WU

“…Nowadays, the commonly used linear structure video recommendation methods have the problems of non-personalized recommendation results and low accuracy, so it is extremely urgent to develop high-precision personalized video recommendation method.A video recommendation method based on the fusion of autoencoders and multi-modal data was presented.This method fused two data including text and vision for video recommendation.To be specific, the method proposed firstly used bag of words and TF-IDF methods to describe text data, and then fused the obtained features with deep convolutional descriptors extracted from visual data, so that each video document could get a multi-modal descriptors, and constructed low-dimensional sparse representation by autoencoders.Experiments were performed on the proposed model by using three real data sets.The result shows that compared with the single-modal recommendation method, the recommendation results of the proposed method are significantly improved, and the performance is better than the reference method.…”
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Documentation and Evaluation of an Ancient Paper Manuscript with Leather Binding Using Spectrometric Methods by Rushdya Rabee Ali Hassan, Mona F. Ali, Abdel-Gawaad A. Fahmy, Hayssam M. Ali, Mohamed Z. M. Salem

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Prognosis method to predict small-sized breast cancer affected by fibrocystic disease by S. A. Velichko, E. M. Slonimskaya, I. G. Frolova, D. G. Bukharin, A. V. Doroshenko

“…The purpose of the study is to develop an effective radiological symptom-complex of small-sized breast cancer affected by fibrocystic breast disease by using multivariate statistical methods.Materials and methods. Radiological findings of small-sized breast cancer affected by fibrocystic mastopathy were analyzed in 100 patients with histologically verified diagnosis.Results. …”
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A simple spot test quantification method to determine formaldehyde in aqueous samples by Amara Dar, Umer Shafique, Jamil Anwar, Waheed-uz-Zaman, Arooj Naseer

“…Spots have been quantified by scanning the spotted TLC and analyzing the image in computer with Visual Basic 6.0 based graphic application. The study consisted of developing an appropriate calibration line, analyzing artificial and real samples, and comparing the new method with a standard spectrophotometric method (NIOSH Method-3500, 1994). …”
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Applications of Riccati–Bernoulli and Bäcklund Methods to the Kuralay-II System in Nonlinear Sciences by Khudhayr A. Rashedi, Musawa Yahya Almusawa, Hassan Almusawa, Tariq S. Alshammari, Adel Almarashi

“…This study introduces novel soliton solutions for the K-IIS, derived using the Riccati–Bernoulli sub-ODE method combined with Bäcklund transformation and conformable fractional derivatives. …”
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A Comprehensive Evaluation of Deepfake Detection Methods: Approaches, Challenges and Future Prospects by Hu Xixi

“…Advances in technology have made deepfake forgeries easier, posing serious ethical and security risks that highlight the urgent need for better detection methods. This paper provides a comprehensive discussion of various Deepfake detection approaches, including methods based on physical attributes and visual inconsistencies, data-driven techniques (such as spatial and frequency domain detection methods), and those using generative models. …”
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A COMBINED METHOD OF 1D AND 2D RESISTIVITY FOR GROUNDWATER LAYER ESTIMATION AT A FARMING AREA IN REJOMULYO VILLAGE by Risky Martin Antosia, Muhammad Ramdan

“…Therefore, the groundwater layer zone was estimated as an initial study at the dry farmland in Rejomulyo village, Jati Agung district, South Lampung, using a combined method between the 1D resistivity method of the Schlumberger array and the 2D form of the Wenner configuration. …”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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RESEARCH ON PERFORMANCE OPTIMIZATION METHOD OF MECHANICAL PARTS BASED ON CAD/CAE INTEGRATION by WU Qiang, LIU FuYun, HU RuKai, YU HanHong

“…This method took Visual Studio as the platform, used APDL and C⁺⁺ language for redeveloped ANSYS and Solid Works respectively, and developed a digital design system of mechanical parts based on CAD/CAE integration. …”
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Formation Consensus Control Method With Time-Varying Parameters Based on Virtual Leader by Hongyun Wang, Xiwei Guo, Wenzhao Li, YaQin Li, Weiwei Gao

“…A method of formation pattern alternation and consistent flight control in complex battlefield environment is put forward, considering the single formation pattern during formation flight and failing to deal with the changeable battlefield environment. …”
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A Method for Automatically Locating Defects in CCTV Inspection Data of Sewer Pipes by Jun Tang, Jisheng Xia, Zhiqiang Xie, Zhaoyong Li, Yuting Zhang

“…Following experimental validation, the multiple object tracking accuracy (MOTA) metric of defect tracking within the proposed method ranged from -1.46 to 0.89 across ten test videos. …”
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Nonplanar Crack Growth Simulation of Multiple Cracks Using Finite Element Method by Yahya Ali Fageehi, Abdulnaser M. Alshoaibi

“…This analysis was performed by using the developed source code software written by Visual Fortran Language. This source code includes the adaptive mesh generation utilizing the advanced front method and also the mesh refinement process. …”
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Non-ocular biomarkers for early diagnosis of diabetic retinopathy by non-invasive methods by Huaixue Gou, Juping Liu

“…Timely diagnosis and intervention facilitate the prevention of diabetes-associated visual impairment. Classical imaging methods may prevent the timely detection of DR due to shortages of specialized facilities and retinal specialists, particularly in remote areas. …”
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Application of various assessment methods to detect seismic vulnerability in educational institutions in Peru by Donald Gorki Collantes Delgado

“…The Hypothetical Deductive Method was used, the techniques employed were direct scientific observation and documentary analysis. …”
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Non-destructive Analysis of Pamelo Citrus Fruit Maturity with Impedance Spectroscopy Method by Elfirza Rosiana, Hedy Aditya Baskara, Jan Setiawan, Donie Agus Ardianto, Abdurahman Abdurahman, Riski Maulana, Fitri Yanti

“…Generally, the quality of the fruit is evaluated by a visual judgment ratio that can be wrong. This method also only evaluates the external quality of the fruit. …”
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Identification Method of Mature Wheat Varieties Based on Improved DenseNet Model by Zihang Liu, Yuting Zhang, Guifa Teng

“…In order to achieve accurate and efficient recognition of wheat varieties planted in wheat fields, a recognition method based on an enhanced DenseNet network model is proposed in this study. …”
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