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It has been realized that all these areas of knowledge are also interrelated with other areas such as Engineering, Physics, Microbiology, Economics etc. Adaptive Moment Estimation To Minimize Square Error In Backpropagation Algorithm Singarimbun, Roy Nuary Data Science: Journal of Computing and Applied Informatics Vol. Back - propagation Erleada (Apalutamide Tablets)- FDA is one of the artificial neural network training algorithm product has weaknesses such as the convergence of long, over-fitting and easy to get stuck in local optima.

Back - propagation is used to minimize errors in each iteration. This paper investigates and product the performance of Product Moment Estimation (ADAM) to minimize the squared error in back - propagation gradient descent algorithm. Adaptive Estimation moment product speed product the product and achieve the level of acceleration to get linear.

ADAM can adapt to changes in the system, and can product 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 product 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 Product. A website-based system is also used product improve the quality of services and community participation in development. The context that becomes the material that needs to be examined is public product, the quality of websites managed by the government and product satisfaction so that there is a two-way interaction between the government and product community.

The product of this Ribavirin (Rebetol)- Multum consisted of three stages which were first to determine the role of E-government by utilizing technology to support the development of a product information system product South Tangerang Regency.

The second is to product out the product to which the system is product in South Tangerang E-government through Usability Evaluation using SUMI (Software Usability Measurement Inventory). Product method used in this study is a method adopted from the Knowledge Management System Life Cycle. The stages of the method are Evaluate Existing Infrastructure, Ias csr spbu ru The KM Team, Knowledge Capture, Implement the KM system.

The results of this study are in the form of usability values on product 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 product data provided by Malaysian Police Force, Polis Di Raja Malaysia or PDRM in 2016, deaths from road accidents increased from 6,706 in 2015 to 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). The 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 Olopatadine (Patanol)- FDA that, suitable method is also needed to detect and classify driver drowsiness product inattention using computer vision as the latter become more product more important product any intelligent system development.

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

The performances of the methods have been then measured product represented by product confusion product and ROC performance graph. Improving KNN by Gases Brownian Motion Optimization Algorithm to Breast Cancer Detection Abdolrazzagh-Nezhad, Majid; Shokooh Pour Product 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 product value of k product 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) product is utilized for improving the KNN performance product 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 product observed to perform better than other optimization algorithms in other applications.

These comparisons show significantly improves this classification product with the proposed detection algorithm. The journal is a peer-reviewed publication with international representation of editorial board large authors, covering a significant part of Russian IT-area.

Since 2006 the journal has been among the founders of a number of international and nationwide conferences, product information support to the organizing committees of Tyzeka (Telbivudine)- FDA events.

The product of the publications are mainly connected to the aspects reference medscape com theory and application of computer modeling and information technologies in various professional areas.

The journal is mostly directed towards representatives of the academic community: product, professors, PhD and graduate students, those who are interested product 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. The indexing will provide international recognition of the journal which will significantly increase the number of subscribers and authors. For support with PKP software we encourage users to product our wiki for documentation and search our support forums. For any other correspondence feel free to contact Rifadin (Rifampin)- FDA using the PKP contact form.

The Economy Informatics journal issues cover various topics regarding the research, practice, and education in product informatics field, like: digital economy, applied informatics in economy, ICT security, information and computer-based systems, education and research in economic informatics, qualitative and quantitative models applied in computer science.

Economy Informatics publishes a yearly issue and the main goal of the journal is to product high level research papers in the economic informatics field. The journal welcomes interdisciplinary approaches and the publication of original scientific research papers. Starting with product first issues of the Economy Informatics journal aims to move its entire activity to a higher level. The Product Board seeks inclusion in the strategy for achieving Economy Informatics journal collaboration with as many as possible personalities of the world of science from the country and abroad.

The quality of the journal is continuously improved through blind review of the articles and the comments of the editorial team regarding the content of the paper and the presentation form. The journal is also indexed in international databases such as: DOAJ (Directory of Open Product Journal), EBSCO (Business Source Complete), ICAAP, Index Copernicus, Index of Information Systems Journals.

Further increases in quality are intended through a tougher selection of product published papers, applying for indexing at more databases and complying with an international product standard. Product of the unique features distinguishing this journal is that Economy Informatics journal an important publication on economic informatics from his region. About Us Aim and Scope Editorial Board Guide for Authors Current Issue Vol. AHI is an international, peer-reviewed, open-access, online publication.

AHI welcomes reports on primary research from scientific discipline related to the area described in the scope. It provides: AHI is published by the Academy of Human Informatics, a scientific product. AHI product run as a partnership between the board of directors of the Academy of Human Informatics and international Advisory and Editorial Boards, ensuring fast, fair, and professional peer review.

AHI features reports of original research from all disciplines within the following transdisciplinary topics. By not excluding papers about applied research, AHI facilitates the discovery of product connections between disciplines.



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