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Research ArticleOpen accessEvery word in the titleInteraction Model in Statistical MechanicsFarida Kachapova, Ilias KachapovStatistical mechanics considers several models such as Ising model, Potts model, Heisenberg model etc. A rigorous mathematical approach based on the axiomatic foundation of probability would benefit the study and applications of these models. In this paper we use this approach to generalize some of these models into one construction named an interaction model. We introduce a mathematically rigorous definition … …Journal of Mathematics and Statistics, Vol. 13, Issue 4 · 4 Nov 2017 · 7,054 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBuilding Energy Modeling Using Artificial Neural NetworksMaya Arida, Nabil Nassif, Rand Talib, Taher Abu-LebdehAccurate modeling of total building energy is now vital to reduce energy consumption. This is especially true for buildings since they are considered as the largest energy consumer in the United States. This paper investigates modeling methods for building energy-systems using non-linear auto-regression artificial neural networks. The proposed model can forecast the whole building energy consumptions given the four input … …Energy Research Journal, Vol. 7, Issue 2 · 6 Jun 2017 · 7,125 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluating the Usability of Model Transformations Testing Approach (MTTA)Lukman Ab. Rahim, Ziyaulhaq Aliyu, Emy E. MustaphaModel Transformation (MT) is a key component in Model Driven Development (MDD). Model transformation is used to transform source model into a target model, improve the model quality and also introduce the design pattern and refactoring. Model transformation are not free from bugs similar to other software development artifacts and it needs to be verified. Code Generators (CG) are a … …Journal of Computer Science, Vol. 13, Issue 1 · 6 Mar 2017 · 7,675 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCharacterization of the Changes in Opened Sufu Bottles During Storage with Mathematical ModelJingJing Liang, Dawei Li, Ruiqin Shi et al.Artificial Neural Network (ANN) is a type of nonlinear empirical model, which can clarify the complex relation between the inputs and outputs that allows it to approximate any nonlinear function for making predictions. The objective of this study is to monitor the Biogenic Amines (BAs) content and selected physicochemical properties of sufu (a traditional Chinese fermented soybean product) along time. … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 12 Dec 2018 · 9,353 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning ModelGhofran Mohammad Alqaralleh, Mohammad Aref Alshraideh, Ali AlrodanActive learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instance selection is the most important step. Sampling stage is the main issue in active learning for many problems such as intrusion detection system. There are many methods for sampling stage to … …Journal of Computer Science, Vol. 14, Issue 8 · 26 Aug 2018 · 8,183 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Review of the Recent Advances Made in the Black-Scholes Models and Respective Solutions MethodsYasir Hamad Al Saedi, Gurudeo Anand TularamThe Black-Scholes model has been a major advance in finance over a period of time; this paper examines this model in some detail, in terms of the latest developments in both analytical and numerical solutions. The paper initially briefly examines historical aspects but quickly moves to a critical analysis of the works in the applications, solutions and implications for the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 8 Jan 2018 · 8,621 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAugmented Scope-Based E-Commerce Business Model for Emerging MarketsRazib Hayat Khan, Ankan Shahriar Islam et al.E-commerce is one of the world's fastest-growing software service industries. With the arrival and rise of the 4th industrial revolution and technological advancements such as Artificial Intelligence, machine learning, and subscription economies, e-commerce is primed for significant growth globally, particularly in emerging markets. Emerging markets provide several unique growth factors and catalysts such as smart device adoption, high internet penetration, … …Journal of Computer Science, Vol. 19, Issue 12 · 20 Oct 2023 · 7,415 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Multistage Fuzzy Logic-Based Decision Support Model to Determine the Salary of New EmployeesGregoryus Imannuel Perdana, Ditdit Nugeraha UtamaSalary determination for prospective new employees is critical in determining the level of employee satisfaction that can motivate people. The goal of this research is to develop a decision support model to determine salaries for prospective new employees by combining three methods: Multistage fuzzy logic, and conventional and simple mathematical models. Fuzzy logic is used to calculate fuzzy parameters, while … …Journal of Computer Science, Vol. 19, Issue 7 · 7 Jun 2023 · 5,275 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Re-Formulation of user’s Irrational Behavior in Speech Recognition using Acoustic Nudging ModelLydia Kehinde Ajayi, Ambrose Azeta, Isaac Odun-Ayo et al.In automatic speech recognition for development of automatic speech recognition applications, there has been numerous claims on the presence of speech recognition errors known as classified into lexical and acoustic errors. These errors distort speech signals thereby depreciating the accuracy and performance rate of speech recognition applications. Even though lexical speech recognition error problem has been partially combated, acoustic speech … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,509 accessesView PDFCite