Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification by YAN Ming, CAO Guo, XIA Meng

“…We propose a method for change detection in highresolution remote sensing images by means of level set evolution and Support Vector Machine (SVM) classification, which combined both pixellevel method and objectlevel method Both pixelbased change features and objectbased ones are extracted to improve the discriminability between the changed class and the unchanged classAt the pixellevel, the change detection problem is formulated as a segmentation issue using level set evolution in the difference image At the objectlevel, potential training samples are selectedfrom the segmentation results without manual intervention into SVM classifier Thereafter, the final changes are obtained by combining the pixelbased changes and the objectbased changes A chief advantage of our approach is being able to select appropriate samples for SVM classifier training Furthermore, our proposed method helps improving the accuracy and the degree of automation We systematically evaluated it with a variety of SPOT5 images and aerial images Experimental results demonstrated the accuracy of our proposed method…”
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A Two-Stage Compression Method for the Fault Detection of Roller Bearings by Huaqing Wang, Yanliang Ke, Ganggang Luo, Lingyang Li, Gang Tang

“…Data measurement of roller bearings condition monitoring is carried out based on the Shannon sampling theorem, resulting in massive amounts of redundant information, which will lead to a big-data problem increasing the difficulty of roller bearing fault diagnosis. …”
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Deep Memory Fusion Model for Long Video Question Answering by SUN Guanglu, WU Meng, QIU Jing, LIANG Lili

“…At present, it is difficult for video question answering models based on recurrent neural networks to fully retain important memory information, to ignore irrelevant redundant information and to achieve efficient fusion of memory information. To solve this problem, a deep memory fusion model is proposed based on the memory network.This model uses the memory component of the memory network to effectively retain the fusion features of video clips and subtitles. …”
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Statistical Software Usability for Novice Research Students in the Social Sciences: An Eye-Tracking Study by Sedigheh Abbasnasab Sardareh, Gavin T. L. Brown, Paul Denny

“…Thematically analyzed think-alouds confirmed that design features such as simple menus and automatic display of results contributed to successful problem-solving by these novices.…”
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Contextualised, Not Neoliberalised, Approaches to Families in Five Countries: Quality and Practice by Marg Rogers, Fabio Dovigo, Astrid Mus Rasmussen, Khatuna Dolidze, Laura Doan

“…They then revealed how these unique features impacted their notions of quality and practice in these services. …”
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Infrared image monitoring algorithm for converter valve equipment by Jiashui Dai, Fali Tan, Yi Jiang, Yunlong Liang, Kangquan Lin, Kai Tong

“…Traditional converter valve monitoring methods have problems of inefficiency and failure to detect potential faults in time, which may lead to equipment damage or system failure. …”
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DETECTION OF NON-MELANOMA SKIN CANCER BY DEEP CONVOLUTIONAL NEURAL NETWORK AND STOCHASTIC GRADIENT DESCENT OPTIMIZATION ALGORITHM by Premananda Sahu, Srikanta Kumar Mohapatra, Prakash Kumar Sarang, Jayashree Mohanty, Pradeepta Kumar Sarangi

“…The expansion of skin problems for human beings has emerged as a significant problem, and the successful investigation has been observed as an arduous task for clinical experts or dermatologists. …”
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First experience in two successful consecutive pregnancies after simultaneous liver-kidney transplantation with reno-portal transposition by O. V. Tkachenko, O. O. Rummo, K. U. Vilchuk, I. V. Kurlovich, A. E. Shcherba, O. V. Kalachik, A. M. Dzyadzko, C. Y. Nagibovich, I. V. Naumchik, V. V. Rimashevski, O. A. Pankratova, M. A. Frolova

“…Literature review on this problem is presented.…”
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Design and Evaluation of a Framework for Cooperative and Adaptive QoS Control of DSRC Network for Road Safety Applications by Wenyang Guan, Jianhua He, Zuoyin Tang, Thomas M. Chen

“…In this paper we examine the QoS control problem for CSA in the DSRC based vehicle networks and presented an overview of the research work towards the QoS control problem. …”
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CrossModalSync: joint temporal-spatial fusion for semantic scene segmentation in large-scale scenes by Shuyi Tan, Yi Zhang, Yan Li, Byeong-Seok Shin

“…By combining TA and PMC, the framework effectively captures inter-frame correlations, improving local detail information, reducing error accumulation, and maintaining detailed scene features. Second, employing the PPR mechanism ensures that critical three-dimensional information is retained, thereby resolving information loss caused by the “many-to-one” mapping problem. …”
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A Novel Multisupervised Coupled Metric Learning for Low-Resolution Face Matching by Guofeng Zou, Guixia Fu, Xiang Peng

“…Under the supervision of category label and distribution information, the learned model can better deal with the intraclass multimodal problem, and the features obtained in the coupled space are more easily matched correctly. …”
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An improve fraud detection framework via dynamic representations and adaptive frequency response filter by Juncheng Yang, Shuxia Li, Zijun Huang, Junhang Wu

“…With the sequential network, we capture users’ dynamic behavioral features for LSN input. Additionally, in LSN learning, we designed a trainable filter to capture differences between feature channels during information aggregation, mitigating the over-smoothing problem. …”
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IMPROVEMENT OF EDUCATIONAL COGNITIVE ACTIVITY STUDENTS IN THE PROFESSIONAL EDUCATIONAL ORGANIZATION ON THE BASIS OF VISUALIZATION TECHNOLOGY OF EDUCATIONAL INFORMATION by Liliya A. Kolmakova

“…The aim of the study is to consider the problem of improving the quality of education in the professional educational organizations.Methods. …”
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Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

“…A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. …”
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Regional socio-economic disparities in the Kashmir Valley (India) – a geographical approach by Mohiuddin Shahnaz, Hashia Haseena

“…The problem of regional disparities in the levels of social and economic development is a universal phenomenon. …”
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Human Action Recognition Based on The Skeletal Pairwise Dissimilarity by E.E. Surkov, O.S. Seredin, A.V. Kopylov

“…A convolutional neural network based on the ResNetV2 with the SE-block is proposed to solve the activity recognition problem. SE-block allows to detect inter-channel dependencies and selecting the most important features. …”
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Comprehensive Task Optimization Architecture for Urban UAV-Based Intelligent Transportation System by Marco Rinaldi, Stefano Primatesta

“…This paper tackles the problem of resource sharing and dynamic task assignment in a task scheduling architecture designed to enable a persistent, safe, and energy-efficient Intelligent Transportation System (ITS) based on multi-rotor Unmanned Aerial Vehicles (UAVs). …”
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Business Valuation with Machine learning by P. S. Koklev

“…The study also addresses the problem of the interpretability of the trained models. …”
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Issues of emission and circulation of a digital ruble by K. N. Korishchenko

“…Scientific novelty: the work is devoted to the study of the conditions and results of the introduction of digital currency in the Russian economy, which became an urgent problem in connection with the publication of the Bank of Russia report “On the digital ruble”. …”
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Assessing computational methods of cis-regulatory module prediction. by Jing Su, Sarah A Teichmann, Thomas A Down

“…Faced with a large number of different tools that address this problem, we summarized and categorized them based on search strategy and input data requirements. …”
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