Research ArticleOpen accessAll words, across the recordOptimization of Integrated Energy Systems in a Developing Economy using TechnologyJoseph Uchenna Ezekwugo, Anthony Ibe, Alwell NteegahThis study uses a Low Emissions Analysis Program (LEAP) model to optimize the integrated energy systems of a developing economy (Nigeria) over 2020 - 2050 modelling period using Technology. It attempts to address the perennial energy dearth challenge, which plagues developing economies, while minimizing associated environmental impact GHG Emissions. The study models existing conditions within the developing economy as a … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 21 Mar 2022 · 6,369 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUse of Response Surface Methodology for Optimization of Nickel Adsorption in an Aqueous Solution by ClayNesrine Turki, Nesrine Boujelben, Zaineb Bakari, Jalel BouzidIn this study, Scanning Electron Microscopy (SEM), X-ray diffraction and BET surface area (SBET) methods were employed to characterize the adsorbent. Response Surface Methodology (RSM) was consider as a good method to assess Ni adsorption treatment and Box-Behnken design was used to examine simultaneous the effects of different experimental variables (pH, adsorbent dosage, contact time). Experimental results showed high adsorption … …American Journal of Environmental Sciences, Vol. 17, Issue 5 · 24 Nov 2021 · 6,296 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordToward Intelligent Evaluation of Digital Public Services: Evidence from Indonesia’s SIM Online PlatformEvaristus Didik Madyatmadja, Ricky Kosasih, Najla Aurelia Evanthe et al.This investigation examines more than 65,000 user evaluations from the Google Play Store concerning sentiment toward the Digital Korlantas POLRI application. Reviews were systematically processed and categorized through Naïve Bayes, Support Vector Machine, and Random Forest classifiers, thereby highlighting the perceived strengths and weaknesses of the platform. Among the tested models, Naïve Bayes outperformed the others, yielding the greatest accuracy, … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,354 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,701 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,086 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGlobal Supply Chain: Enhance Production Cost Efficiency Through Machine LearningLoubna Moumeni, Mohammed SaberMachine learning has enabled the discovery of various disciplines and patterns in Supply Chain Management (SCM). The entire industrial sector is striving to harness the contextual intelligence provided by machine learning by exploring new areas within the supply chain network. This article delves into Supply Chain Management (SCM) and its broader implications beyond logistics. SCM involves the resources, methods, and … …Journal of Computer Science, Vol. 20, Issue 9 · 14 Jun 2024 · 5,320 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimization of Bathymetry Database for Coastal AreasWorachat Wannawong, Prungchan Wongwises, Usa W. HumphriesProblem statement: A database containing gridded bathymetries with different coverages and resolutions has been established. Approach: The interpolation techniques of the gridded bathymetries have been developed to define the spherical, rectangular and curvilinear coordinate grid systems. Results: Subsequently, merging of the bathymetry results has also been developed to define the optimal bathymetry. Furthermore, the bathymetries were established in order to … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,227 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA New Separable Logarithmic Algorithm for Non-Linear OptimizationAbbas Y. Al-Bayati, Hawraz N. JabbarProblem statement: The idea of this study stemmed from the fact that most of the currently used optimization algorithms use a local quadratic representation of the objective function. It also arisen from the fact that the objective function may not be represented adequately by quadratic functions and the global minimizer may be obtained for objective functions. So, in this study, … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,874 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Fuzzy Mathematical Programming Approach to DEA ModelsA. Azadeh, S.F. Ghaderi, Z. Javaheri, M. SaberiEvaluating the performance of activities or organizations by traditional Data Envelopment Analysis (DEA) as efficiency frontier analysis models requires crisp input/output data. However, in real-world problems inputs and outputs are often imprecise. This study develops DEA models using imprecise data represented by fuzzy sets. An important outcome of assessing relative efficiencies within a group of Decision Making Units (DMUs) in … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,232 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOptimizing the Deployment of the Overall Maturity Improvement Plan for Information Systems Risk ManagementFatima Ezzahra Ettahiri, Mina El Maallam, Hicham Bensaid, Mahmoud NassarMaturity models contribute considerably to the continuous improvement of the various business processes. However, the most important challenge for these tools after assessing maturity is how to define effective and efficient improvement plans especially in the case of an organization having multiple Information Systems (IS). This study presents an algorithm for optimizing the deployment of the overall maturity improvement plan … …Journal of Computer Science, Vol. 18, Issue 3 · 20 Mar 2022 · 6,509 accessesView PDFCite