Any attracting, hyperbolic and proper node of a two-dimensional analytic vector-field has a unique strong-stable manifold. This manifold is analytic. The corresponding weak-stable manifolds are, on the other hand, not...
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Multi-agent robotic exploration stands to play an important role in space exploration as the next generation of robotic systems ventures to far-flung environments. A key challenge in this new paradigm will be to effec...
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The complexity of Gröbner computations has inspired many improvements to Buchberger’s algorithm over the years. Looking for further insights into the algorithm’s performance, we offer a threaded implementation ...
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In 2017, Brinkmann, Goetschalckx and Schein introduced a very general way of describing operations on embedded graphs that preserve all orientation-preserving symmetries of the graph. This description includes all wel...
In this study, a module generator for Odoo using a low-code development concept was proposed. Odoo is an open-source ERP software that brings together necessary modules for various business management and a Python web...
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This paper introduces a two-step procedure for stabilising a chaotic system around an arbitrary periodic orbit in a Poincare map. The periodic orbit may be a period-n orbit traversing the Poincare plane an integer n t...
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This research study presents an algorithmic approach for the detection and identification of key components on license plates, including numerical digits, province codes, vehicle colors, and vehicle makes and types. T...
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Since the number of linked devices continues to grow quickly, the Web of Everything (IoT) is being employed change today in more industries. More issues in regards to safety, stability, and supportability are brought ...
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This paper is working to analyze the influence of COVID-19 on the medical industry in China's stock market. Because the pandemic has influenced our society and development impressively, using statistical methods t...
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This paper is working to analyze the influence of COVID-19 on the medical industry in China's stock market. Because the pandemic has influenced our society and development impressively, using statistical methods to analyze its influence is a necessary method to estimate the risk of investment. Some common statistic analyzing methods, the ARIMA model and GARCH model, will be used in this paper, and the data of the stock price of a medical manufacturing company Zhangzhou Pientzhng Phrmctcl Co Ltd during the COVID-19 is collected and introduced in the models. Meanwhile, machine learning is also implemented in the prediction and analysis of the data. The results of these two models both demonstrate the high volatility in the stock market under the influence of pandemic,which is meaningful for further research about the risks of future investment in medical industry of China's stock market.
Violence recognition is crucial because of its applications in activities related to security and law *** semi-automated systems have issues such as tedious manual surveillances,which causes human errors and makes the...
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Violence recognition is crucial because of its applications in activities related to security and law *** semi-automated systems have issues such as tedious manual surveillances,which causes human errors and makes these systems less *** approaches have been proposed using trajectory-based,non-object-centric,and deep-learning-based *** studies have shown that deep learning techniques attain higher accuracy and lower error rates than those of other ***,the their performance must be *** study explores the state-of-the-art deep learning architecture of convolutional neural networks(CNNs)and inception V4 to detect and recognize violence using video *** the proposed framework,the keyframe extraction technique eliminates duplicate consecutive *** keyframing phase reduces the training data size and hence decreases the computational cost by avoiding duplicate *** feature selection and classification tasks,the applied sequential CNN uses one kernel size,whereas the inception v4 CNN uses multiple kernels for different layers of the *** empirical analysis,four widely used standard datasets are used with diverse *** results confirm that the proposed approach attains 98%accuracy,reduces the computational cost,and outperforms the existing techniques of violence detection and recognition.
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