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Research ArticleOpen accessPhrase in the titleThe Soft Systems Methodology Based Analysis Model in the Development of Selfmanaging Information SystemsSa'Adah HassanProblem statement: In order to be able to manage its own information within its operating environment with minimal human intervention, a selfmanaging information system ought to identify and make use of information from the resources available in its environment. The development of requirements for selfmanaging information systems should start with an appropriate analysis model that can explicitly show the collaborating … …Journal of Computer Science, Vol. 8, Issue 3 · 16 Jan 2012 · 7,024 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTraffic Flow Analysis Model based Routing Protocol For Multi-Protocol Label Switching NetworkE. R. Naganathan, S. Rajagopalan, P. Herbert RajProblem statement: Multi-Protocol Label Switching (MPLS) is a mechanism which is used in high-performance telecommunications networks that directs and carries data from one network node to the next with the help of labels. Traffic management is still an issue in MPLS network as it involves high speed internet. Approach: This study proposed a traffic flow analysis of the real time … …Journal of Computer Science, Vol. 7, Issue 11 · 25 Aug 2011 · 6,743 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTime Series Analysis Model for Rainfall Data in Jordan: Case Study for Using Time Series AnalysisP.E. Naill M. MomaniProblem statement: Time series analysis and forecasting has become a major tool in different applications in hydrology and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins, ARIMA (Autoregressive Integrated Moving Average). Approach: In this study we used Box-Jenkins methodology to build ARIMA model for monthly rainfall data … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 8,813 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleWeb Based Multi Feature Propagation Analysis Model for Efficient Disease Interference and Recommendation Using Deep LearningM. Manoj Kumar, R. SivaAccurate prediction of chronic diseases is critical for proactive healthcare management. This paper proposes a Multi-feature Propagation Analysis-based Deep Learning Model (MPADM) to address this challenge. The model integrates diverse patient data, including medical, diagnostic, genetic, and historical features, collected from multiple sources. After preprocessing, the network is trained to calculate distinct Propagation Weights (PWs) for each feature category, Diagnosis … …Journal of Computer Science, Vol. 21, Issue 11 · 29 Jan 2026 · 1,709 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Twitter Sentiment Analysis Model for Measuring Security and Educational Challenges: A Case Study in Saudi ArabiaHassan Abdullah Alqarni, Yahya AlMurtadha, Abdelrahman Osman ElfakiEnsuring the good psychological health of the community is one of the highest priorities in modern societies. Therefore, having a sense of the community’s rhythm and mood is a very important factor in understanding what challenges it may be facing. Psychological challenges differ from one society to another. Hence every community has its own specific psychological scales. In the context … …Journal of Computer Science, Vol. 14, Issue 3 · 14 Mar 2018 · 8,190 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleThe Efficiency Measurement of Parallel Production Systems: A Non-radial Data Envelopment Analysis ModelAli Ashrafi, Azmi Bin Jaafar, Mohd Rizam Abu Bakar, Lai Soon LeeProblem statement: Data Envelopment Analysis (DEA) is a non-parametric technique for measuring the relative efficiency of a set of production systems or Decision Making Units (DMU) that have multiple inputs and outputs. Sometimes, DMUs have a parallel structure, in which systems composed of parallel units work individually; the sum of their own inputs/outputs is the input/output of the system. For … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 9,253 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNetwork Data Envelopment Analysis Model for Estimating Efficiency and Productivity in UniversitiesMohammad Mahallati Rayeni, Faranak Hosseinzadeh SaljooghiProblem statement: The aim of this study was to compute disaggregate performance measures of universities. The traditional models for Data Envelopment Analysis (DEA) type performance measurement are based on thinking about production as a "black box". Inputs are transformed in this box into outputs. One of the drawbacks of these models is the neglect of linking activities. Approach: Network DEA … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,880 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleApplication of Multi Task Analysis Model Based on EEG Features in the Study of the Correlation between Depression and Sleep Disorders in College StudentsFeng MaWith the improvement of multi-modal technology, research on depression recognition combining multiple biological signal features has been increasing. Electroencephalogram signals reflect brain activity, and by analyzing their characteristics, the accuracy and stability of depression recognition can be effectively improved. Therefore, this study proposes a correlation analysis between depression and sleep disorders in college students based on electroencephalogram feature analysis, innovatively … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 2 Feb 2026 · 1,994 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleTHE LINEAR PROGRAMMING APPROACH ON A-P SUPER-EFFICIENCY DATA ENVELOPMENT ANALYSIS MODEL OF INFEASIBILITY OF SOLVING MODELChiao-Ping Bao, Chen-Hu Jeng, Ching-Chung Guey, Chien-Liang LinThe traditional CCR or BCC model in DEA for DMU assessment often come out with multiple efficiency units, which cause problems in rank ordering. Therefore, we intended to improve level of discrimination among Decision Making Units (DMUs). The present study thus seeks to solve the above-mentioned problems of discrimination and infeasible solutions in A-P super-efficient mode by proposing a feasible … …American Journal of Applied Sciences, Vol. 11, Issue 4 · 3 Feb 2014 · 6,839 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Study on Factors Influencing MBA Decision After Bachelor’s Using Hybrid Model Combining ANN With Principal Component AnalysisKittipol Wisaeng, Benchalak MuangmeesriThis study comprehensively examines the complex relationship between various individual characteristics and individuals’ expectations after obtaining a bachelor’s degree, particularly in determining whether to pursue a Master of Business Administration (MBA). Utilizing a well structured, hypothesized framework, we examine several key variables directly influencing this critical decision-making process. The examined variables include, but are not limited to, demographic information, academic … …Journal of Computer Science, Vol. 21, Issue 9 · 13 Oct 2025 · 2,242 accessesView PDFCite