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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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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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-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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An Objective Evaluation Method for Image Sharpness Under Different Illumination Imaging Conditions by Huan He, Benchi Jiang, Chenyang Shi, Yuelin Lu, Yandan Lin

“…In this method, the visual saliency, color difference, and gradient information are selected as the image features, and the relevant feature information of these three aspects is extracted from the image as the feature value for the blurred image evaluation under different illumination imaging conditions. …”
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IDENTIFICATION OF SOME COMPOSITE MEDICINAL DRUGS CONTAINING PARACETAMOL, WITH IR-SPECTROMETRY METHOD by A. S. Saushkina, L. N. Zinchuk, M. A. Denisov, V. A. Shokurov, D. V. Goncharov

“…However, in order to identify sophisticated counterfeits, only a visual assessment of the drug is not enough. Purpose screening evaluation of potentiallycounterfeited or poor-quality drugs using the IR spectrometry along the total spectrum.Materials and methods. …”
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Product Image Generation Method Based on Morphological Optimization and Image Style Transfer by Aimin Zhou, Xinle Wang, Yujin Huang, Weitang Wang, Shutao Zhang, Jinyan Ouyang

“…In order to improve the controllability and esthetics of product image generation, from the perspective of design, this study proposes a product image generation method based on morphological optimization, esthetic evaluation, and style transfer. …”
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ECO++: Adaptive deep feature fusion target tracking method in complex scene by Yuhan Liu, He Yan, Qilie Liu, Wei Zhang, Junbin Huang

“…In this paper, we propose a new target tracking method, namely ECO++, using deep feature adaptive fusion in a complex scene, in the following two aspects: First, we constructed a new temporal convolution mode and used it to replace the underlying convolution layer in Conformer network to obtain an improved Conformer network. …”
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Time series image coding classification theory based on Lagrange multiplier method by Wentao Jiang, Ming Zhao, Hongbo Li

“…To address this gap, our paper integrates time series image encoding with algebraic techniques, utilizing Gramian Angular Summation Fields (GASF) and Gramian Angle Difference Fields (GADF) as effective encoding methods. We provide a theoretical justification for the advantages of CNNs in TSI classification by employing the Lagrange multiplier method and the Karush-Kuhn-Tucker (KKT) conditions. …”
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Deep Learning-Based Layout Analysis Method for Complex Layout Image Elements by Yunfei Zhong, Yumei Pu, Xiaoxuan Li, Wenxuan Zhou, Hongjian He, Yuyang Chen, Lang Zhong, Danfei Liu

“…The method reduces the number of model parameters and training time by replacing the backbone network. …”
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The use of echocontrasty as a diagnostic method for pathologies of the ductal system of the salivary glands by A. I. Yaremenko, A. Ya. Razumova, M. A. Laipanova, S. I. Kutukova, N. L. Petrov, A. A. Zubareva

“…Ultrasound examination may be the primary stage in the algorithm for diagnosing salivary glands.The objective was to implement the latest diagnostic method for the pathology of the ductal system of the parotid salivary glands using ultrasound examination (ultrasound) with intraductal echocontrast agent based on a clinical case.Methods and materials. …”
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An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species by Vincenzo Caro Fuentes, Danny Luarte, Ariel Torres, Jorge E. Pezoa, Sebastian E. Godoy, Sergio N. Torres, Mauricio A. Urbina

“…In this study, we designed an automated classification method, inspired by human taxonomic principles, to distinguish visually similar species of pelagic fish in images through the integration of morphological feature analysis with a hierarchical classification technique. …”
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RULA method in the ergonomic analysis of an ophthalmic surgeon’s work: a case study by Teresa Alexandra Vaz Ferreira, Cláudia Cristina Cabral de Carvalho

“…The importance of implementing regular breaks, stretching exercises, and strategies to reduce visual fatigue is also emphasized. The use of more comprehensive, complementary ergonomic assessment methods is recommended for a more complete analysis. …”
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A Mountain Summit Recognition Method Based on Improved Faster R-CNN by Yueping Kong, Yun Wang, Song Guo, Jiajing Wang

“…Traditional summit detection methods operate on handcrafted features extracted from digital elevation model (DEM) data and apply parametric detection algorithms to locate mountain summits. …”
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