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115 results for “Potential Accuracy”
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Research ArticleOpen accessIn the abstractEnhanced Support Vector Machine based on Metaheuristic Search for Multiclass ProblemsAbdullah Saeed Ghareb, Mohammed Hamid Afif, Abdel-Rahman Hedar et al.Machine learning is an important field of artificial intelligent researches and it highly growing for real intelligent applications systems that relate brain computer interface to human brain activities. Support Vector Machine (SVM) is a popular machine learning approach, which can be used for pattern recognition, prediction and classification with many diverse applications. However, the SVM has many parameters, which have … …Journal of Computer Science, Vol. 16, Issue 7 · 9 Jul 2020 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficiency and Forecast Performance of Commodity Futures MarketsBernardina Algieri, Matthias KalkuhlThe present study empirically investigates market efficiency and the potential factors of inefficiency in the main non-energy commodity futures markets: maize, soybeans and wheat. With efficient markets, futures prices can be used as commodity price forecasts, with inefficient markets futures prices are not able to predict spot prices. Technically, exploring the drivers of inefficiency means to assess the determinants of … …American Journal of Economics and Business Administration, Vol. 11, Issue 1 · 10 Jun 2019 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Sentiment Classification using MLP Network Hybrid with Naive Bayes AlgorithmMohammad Subhi Al-Batah, Shakir Mrayyen, Malek AlzaqebahSentiment analysis has recently become one of the growing areas of research related to text mining and natural language processing. Sentiment analysis techniques are increasingly exploited to categorize the opinion text to one or more predefined sentiment classes for the creation and automated maintenance of review-aggregation websites. Most of the current studies related to this topic focus mainly on English … …Journal of Computer Science, Vol. 14, Issue 8 · 7 Aug 2018 · 9,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,404 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite
Research ArticleOpen accessIn the abstractASYNCHRONOUS TIME ENCODER BASED QUASI-STATIC MODELLING FOR HUMAN AREA NETWORK IN VANETR. Vimal Karthick, G. S. Raj, R. Srinivasan et al.Power constraints play a key role in designing Human Area Networks (HANs) for bio authentication vehicle based on driver's identity. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing bio authentication information and the skin surface as the communication channel. Time encoding does not require a clock while allows perfect signal … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE EFFECT OF VENTILATION AND ECONOMIZER ON ENERGY CONSUMPTIONS FOR AIR SOURCEHEAT PUMPS IN SCHOOLSNihal Al Raees, Nabil Nassif, Fouad Al RifaieThe study discusses the applications of CO2-based demand-controlled ventilation DCV strategy integrated with the economizer for air source heat pumps in schools, investigates their impact on the annual heating, cooling and total energy consumption, also determines the potential savings achieved in different USA locations. The study includes detailed energy analysis on an existing middle school through whole building simulation energy … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 18 Mar 2014 · 8,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractTEXT SIGNAGE RECOGNITION IN ANDROID MOBILE DEVICESOi-Mean Foong, Suziah Sulaiman, Kiing Kiu LingThis study presents a Text Signage Recognition (TSR) model in Android mobile devices for Visually Impaired People (VIP). Independence navigation is always a challenge to VIP for indoor navigation in unfamiliar surroundings. Assistive Technology such as Android smart devices has great potential to assist VIPs in indoor navigation using built-in speech synthesizer. In contrast to previous TSR research which was … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach to the Model use for Measuring Suspended Sediment Yield in Ungauged CatchmentsSokchhay Heng, Tadashi SuetsugiDifferent types of water resources studies require the information of Suspended Sediment Yield (SSY) in different time resolutions. In ungauged watersheds where hydrometeorogical time series are not available, the mean annual SSY (SSYa) is solely predictable and catchment area is traditionally used as the predictor because it is the most important variable and generally determined during project planning. Firstly, this … …American Journal of Environmental Sciences, Vol. 9, Issue 4 · 11 Sep 2013 · 6,991 accessesView PDFCite