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161 articles for “forecasting”
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Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,071 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Framework for Smart Irrigation using Machine Learning TechniqueS. Ramya, A.M. Swetha, Manivannan DoraipandianThe scarcity of freshwater around the world is becoming a serious issue, so there is a dire need to come up with a solution for effective utilization of water resources. Basically, agriculture depends on monsoon which is not a sufficient water source. The Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system is employed in the field … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 9,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Artificial Neural Network Model for Option PricingHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiIn the absence of a well-defined input selection technique associated with the pure ANN models, Option pricing using pure ANN models while relaxing the assumption of constant volatility remains a challenge. The conservative drill espoused has been to make allowances for a large number of input lags with the confidence that the ability of ANN to integrate suppleness and redundancy … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 8 Aug 2019 · 7,415 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Patient Readmission Risk: A Predictive Analytics ApproachAvishek Choudhury, Dr. Christopher M. GreeneWith the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 8,161 accessesView PDFCite
Research ArticleOpen accessIn the abstractSSOAM: Automated Security Testing Framework for SOA Middleware in Banking DomainMustafa Al-Fayoumi, Ruba Haj Hamad, Jaafer Al-SarairehIn the banking domain, a high level of security must be considered and achieved to prevent a core-banking system from vulnerabilities and attackers. This is especially true when implementing Service Oriented Architecture Middleware (SOAM), which enables all banking e-services to be connected in a unified way and then allows banking e-services to transmit and share information using simple Object Access … …Journal of Computer Science, Vol. 14, Issue 7 · 16 Jul 2018 · 8,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractElementary Structure of Matter can be Studied with New Quantum ComputersNicolae Petrescu, Florian Ion Tiberiu PetrescuMuch has been talked about quantum computers. Today they are working on difficult simulations, so we can already congratulate the college of researchers at the Oak Ridge National Laboratory as the world's first to successfully simulate an atomic nucleus using a quantum computer. The results that were published in the physical examination letters demonstrate the huge capacity of quantum systems … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Jun 2018 · 7,708 accessesView PDFCite
InvestigationOpen accessIn the abstractChanges in the Composition and Properties of Meadow Solonchaks of the Ili Alatau Foothill Plain in the Republic of Kazakhstan during a Long Postmeliorative PeriodZhainagul Yertayeva, Saginbay Kaldybaev, Aigul Kaiyrbekovna BeketovaThe optimal depth of the groundwater table and the water-salt regime is of importance in the postmeliorative period. The scope of these studies is to provide scientifically grounded assessment of previously reclaimed soils (water irrigation with a total norm of 5000 m3/ha under conditions of deep horizontal drainage, 1986-1989) in the postmeliorative period of 2015-2016 and to develop parameters for … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 14 Oct 2017 · 7,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractLevel of Non-Matching Primary Transplant Cases According to Repeat Transplants Cases and a New Bivariate Poisson DistributionRamalingam ShanmugamIn their practice, healthcare administrators and professionals often wonder about the non-matching level organs in transplants for the sake of future forecasting. Currently, there is no appropriate methodology to analyze the pertinent transplant data and describe the patterns. The lack of a suitable methodology in the literature originates from an incorrect impression that the primary transplant cases and the repeat … …Current Research in Medicine, Vol. 8, Issue 1 · 10 Jul 2017 · 9,154 accessesView PDFCite