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275 results for “Model Comparison”
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Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Comparison of Passive Fault Tolerant Control Strategy with PI and Fuzzy Control of Single-Tank Level Process with Sensor and System FaultHimanshukumar R. Patel, Vipul A. ShahFault-Tolerant Control (FTC) strategy has gain maximum attention in recent years in chemical industries due to economical and safety hazards perspective. Targeting at the decreasing control performance of the single-tank level control process under the constraint of system and sensor faults, this article presents model-based Passive Fault-Tolerant Control (PFTC) strategy which are based on conventional and artificial intelligence control. The … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 24 Jun 2019 · 7,598 accessesView PDFCite
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 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing the CIC IoT Dataset 2023 for Improved Attack Detection through GANs Augmentation and Federated LearningShahad Alahmari, Noura AleisaThe escalating frequency and sophistication of cyber-attacks on Internet of Things (IoT) devices present a pressing challenge to cybersecurity. With IoT device connections projected to exceed 42 billion by 2025, the vulnerability of these devices to cyber-attacks has never been more evident. This paper investigates the integration of Machine Learning (ML) and data augmentation, specifically Generative Adversarial Networks (GAN) and … …Journal of Computer Science, Vol. 21, Issue 7 · 18 Jul 2025 · 9,111 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Secure Passwordless Multi-Server Modified Authenticated Master-Key Agreement Scheme Based on Hardware-Software and Iriscode Identifiers Through SSL/TLS Protocol for E-learning and Similar Web-based ServicesAfshin Zivi, Gholamreza FarahaniThere is a growing concern about systems security and how to organize it. This is because the internet which is the backbone of all systems is regarded as unsafe. Also, the internet transmits all connection transactions in the E-learning and similar web-based systems and as a result, intruders and attackers by abusing security holes can compromise the system. The E-learning … …Journal of Computer Science, Vol. 14, Issue 10 · 26 Oct 2018 · 7,257 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Standard Statistical Distributions for Modeling Glass FractureDavid Kinsella, Johan Lindström, Kent PerssonExperimental data on the strength of new annealed float glass tested in an ambient environment was collected. A comparison was made between four standard distributions, the normal, lognormal, Gumbel and Weibull, with respect to the performance in modelling the strength. The Weibull distribution outperformed the normal and lognormal distributions when the data contained edge only failure origins. When the data … …International Journal of Structural Glass and Advanced Materials Research, Vol. 2, Issue 1 · 24 Aug 2018 · 7,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeather Forecasting Using Merged Long Short-Term Memory Model (LSTM) and Autoregressive Integrated Moving Average (ARIMA) ModelAfan Galih Salman, Yaya Heryadi, Edi Abdurahman, Wayan SupartaWeather forecasting is an interesting research problem in flight navigation area. One of the important weather data in aviation is visibility. Visibility is an important factor in all phases of flight, especially when the aircraft is maneuvering on or close to the ground, i.e., during taxi-out, take-off and initial climb, approach and landing and taxi-in. The aim of these study … …Journal of Computer Science, Vol. 14, Issue 7 · 28 Jun 2018 · 11,422 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Test Case Generation based on a Software Product Line for Model TransformationAlexandre Augusto Giron, Itana Maria de Souza Gimenes, Edson OliveiraJrModel-Driven Engineering (MDE) supports model evolution and refinement by means of model transformations at several abstraction levels. Validating these transformations is essential to ensure the quality and correctness of such models. However, MDE transformations become more complex to validate, for example, when they are implemented in different languages. One particular example is the transformation of the SyMPLES approach. SyMPLES is … …Journal of Computer Science, Vol. 14, Issue 1 · 22 Jan 2018 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Static Analysis of Android Source Code for Lifecycle Development Usage PatternsNoura Hoshieah, Samer Zein, Norsaremah Salleh, John GrundyBuilding robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,661 accessesView PDFCite