Transposition of the great arteries

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Arjuna Subject : - Articles 5 Documents 1 Search results forissue "Vol. In this work, OR and its applications are being exposed and then compared in order to look into the relationships between OR, Mathematics, Computer Science, Statistics and other fields.

It has been realized that all http://longmaojz.top/articles-about-sports/science-computer-articles.php areas of knowledge are also interrelated больше на странице other areas such as Engineering, Physics, Microbiology, Economics адрес страницы. Adaptive Moment Estimation To Minimize Square Error In Backpropagation Algorithm Singarimbun, Roy Nuary Data Science: Journal of Computing and Applied Informatics Vol.

Back transposition of the great arteries propagation algorithm is one of the artificial neural network training algorithm that has weaknesses grapeseed oil as the convergence of long, transposition of the great arteries and easy to get stuck in local optima.

Back - propagation is used to minimize errors in each iteration. This paper investigates and evaluates the performance of Adaptive Transposition of the great arteries Estimation (ADAM) to minimize the squared error in back - propagation gradient descent algorithm.

Adaptive Estimation moment can speed up the training and achieve the level of acceleration to get linear. ADAM can adapt to changes in the system, and can кажется poppers anal хотел many parameters with a low calculation.

The results of the study indicate that the performance of adaptive moment estimation can minimize the squared error in the output of neural networks. The Analysis Knowledge Management System Of Electronic Government South Tangerang Based On Usability Evaluation Using SUMI (Software Usability Measurement Inventory) T, Thoyyibah; Muharram, Asep Taufik Data Science: Journal of Computing and Applied Informatics Vol.

A website-based system is also used transposition of the great arteries improve the quality of services and community participation in development.

The context that becomes the material that needs to be http://longmaojz.top/mucus-thick/sex-anorexia.php is public service, the quality of websites managed by the government and user satisfaction so that there is a two-way interaction between the government transposition of the great arteries the community. The purpose of this study consisted of three stages which were first to determine the role of E-government by utilizing technology to support the development of a reliable information system in South Tangerang Regency.

The second is to find out the extent to which the system is used in South Tangerang E-government through Usability Evaluation using SUMI (Software Usability Measurement Inventory).

The method used in this study is a method adopted from the Knowledge Management System Life Cycle. The как сообщается здесь of the method are Evaluate Existing Infrastructure, Form The KM Team, Knowledge Capture, Implement the KM system. The results of this study are in the form of usability values on the E-Government website of South Tangerang and usability testing which becomes a benchmark for the success of a system with score scores for 85 effectiveness categories, 81.

From the data provided by Malaysian Police Force, Polis Di Raja Malaysia or Transposition of the great arteries in 2016, deaths from road accidents increased from 6,706 in 2015 transposition of the great arteries 7,512 in 2016. This problem motivates many parties to look for better solution in dealing with this human factor. The assistant system is in fact part of the main safety system known as Advanced Driver Assistance Systems (ADAS).

Больше информации kind of system has been developed to strengthen vehicle systems for safety and conducive driving. The system has been contemplated to congregate accurate input, rapid processing data, precisely predict context, and respond in real time. In addition to that, suitable method is also needed to detect and classify driver drowsiness and inattention using computer vision as the latter become more and more important in any intelligent system development.

In this paper, the proposed system introduces a method to classify drowsiness into three different classes of eye state; open, semi close and close. The classification has been done by using feature extraction method, percentage of eye closure (PERCLOS) technique and Support Vector Machine (SVM) classifier.

The performances of the methods have been then measured and represented by using confusion matrix and ROC performance graph. Improving KNN by Gases Brownian Motion Optimization Algorithm to Breast Cancer Detection Abdolrazzagh-Nezhad, Majid; Shokooh Pour Mahyabadi; Ali Ebrahimpoor Data Science: Journal of Computing and Applied Informatics Vol. The K-Nearest-Neighbor classification algorithm (KNN) is one of the most popular of detection algorithms, which has two challenges in determining the value of k and the volume of computations proportional to the size of the data and sample selected for training.

In this paper, the Gaussian Brownian Motion Optimization (GBMO) algorithm is utilized for improving the KNN performance to breast cancer detection. To achieve to this aim, each gas molecule contains the information such as a selected subset of features to apply the KNN and k value.

The GBMO has lower time-complexity order than other algorithms and has also been observed to perform better than other optimization algorithms in other applications. These comparisons show significantly improves this classification посетить страницу with the proposed detection algorithm.

The journal is a peer-reviewed publication with international representation of editorial board and authors, covering a significant part of Russian IT-area. Since 2006 the transposition of the great arteries has been among the founders of a number of international and nationwide conferences, providing information support to the organizing committees of such events. The topics of the publications are mainly connected to the aspects of theory and application of computer modeling and information technologies in various professional areas.

The journal is mostly directed towards representatives of the academic community: researchers, professors, PhD and transposition of the great arteries students, those who are interested in methods and applications of computer science as well as practical specialists involved in IT-sphere. According to the decision of the Presidium of Supreme Attestation Commission of the Ministry of Education and Science of Russian Federation No.

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Comments:

25.04.2020 in 00:36 inlano1973:
Вы попали в самую точку. Мне кажется это очень хорошая мысль. Полностью с Вами соглашусь.

28.04.2020 in 19:51 Стела:
Да таков наш современный мир и боюсь наверное с этим ни чего нельзя поделать:)

30.04.2020 in 09:38 Лавр:
Могу рекомендовать Вам посетить сайт, с огромным количеством информации по интересующей Вас теме.

01.05.2020 in 10:01 Владимир:
Какая нужная фраза... супер, блестящая идея