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244 results for “Predicting”
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Research ArticleOpen accessEvery word in the titlePredicting the Movement of Dentistry Students using Markov ChainEsmail Hassan Abdullatif Al-SabriDeveloping and increasing the effectiveness of any system (university system) depends on continuous evaluation and improvement using quantitative methods based on quantitative measurement and efficient mathematical models that can predict the future of the system, discover its improvement requirements and increase its effectiveness. This study is an application of the Stochastics Markov Process for students of the College of Dentistry … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 19 Mar 2022 · 5,998 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting the Remaining Lifetime of Distribution Transformers using Machine LearningNtiminity Abontakoyah Enoch, Puguo Gbene George, Justice AningDistribution Transformer is a crucial element in deciding the power flow in large power systems. Their better performance implies high power system efficiency and enhanced power transfer capability. However, various Distribution Transformer failures in the recent past lead to power supply disturbance and have acquired much attention from the electrical intellectuals. It is of considerable significance to accurately get the … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 1 Jan 2021 · 6,644 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting 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 accessEvery word in the titleClassification Algorithm in Predicting the Diabetes in Early StagesSubitha Sivakumar, Sivakumar Venkataraman, Asherl BwatirambaDiabetes is a standout amongst the deadliest and Chronical diseases which can increase the blood sugar in the human body. Diabetes gives several complications if it is not diagnosed and treated where it might lead to lifeless. Diabetes could be actively controlled when it is primary predicted. To solve this problem and to predict the diabetes in early stage, the … …Journal of Computer Science, Vol. 16, Issue 10 · 24 Oct 2020 · 7,069 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassifying and Predicting Students’ Performance using Improved Decision Tree C4.5 in Higher Education InstitutesMohammed Hikmat Sadiq, Nawzat Sadiq AhmedStudents’ information in higher education institutions increases yearly. It is hard for them to extract meaningful information from the huge amount of data manually. Such information can support academic staff to stop students from dropping out at the end of courses. This can be done by evaluating the students’ performance for the course and also by predicting their performance in … …Journal of Computer Science, Vol. 15, Issue 9 · 12 Sep 2019 · 9,168 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredicting Students’ Academic Performance in the University Using Meta Decision Tree ClassifiersShanthini A., G. Vinodhini, R.M. ChandrasekaranStudent performance prediction is an area of concern for educational institutions. At the University level learning system, the method or rule adopted to identify the candidates who pass or fail differs depending on various factors such as the course, the department of study and so on. Predicting the result of a student in a course is an issue that has … …Journal of Computer Science, Vol. 14, Issue 5 · 28 Feb 2018 · 9,194 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleObservation Modeling for Continuous Predicting Global and Diffuse Solar Radiation on Horizontal SurfaceSomporn Hongkong, Singthong PattanasethanonMathematical modeling for continuous prediction of solar energy is inevitable for energy systems. General, existing models are mostly empirical and data dependent. This article has to present a variable model for predicting global and diffuse solar radiation on the horizontal plane. The model considered in this study has applied Hidden Markov Model (HMM) with two observations. The databases were measured … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 23 May 2013 · 6,797 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange TrendsM. Gunasekaran, K. S. RamaswamiProblem statement: The purpose of this study is to develop an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock market. This study compared two prediction models, an Artificial Immune System (AIS) and Artificial Neural Network (ANN) for predicting the future index value, trend of Indian stock market and discovers the best prediction … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,075 accessesView PDFCite