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238 articles for “Analysis and Prediction”
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Research ArticleOpen accessEvery word in the titleIn Silico Sequence Analysis, Structure Prediction and Function Annotation of Melanocortin 1 Receptor Gene (MC1R) from the Guppy Poecilia reticulataAbdul Khader Sultan Mohideen, Mehboob Asrar Sheriff, Kareem AltaffThe common guppy, Poecilia reticulata is one of the most popular aquarium fish used as a model organism in toxicology, embryology and genetical studies. Vibrant colors in males are a secondary sexual character which attracts the females for mating. Pigmentation in guppy is found to be linked with melanin synthesis. Melanocortin genes are involved in the synthesis of melanin pigments. … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 4 · 17 Nov 2015 · 8,614 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of a Putative Functional Region in the Human Bax Protein by Computational AnalysisMaría Sánchez-Aguilar, Laurence A. Marchat, Absalom ZamoranoStructural domains are relevant elements for interactions between Bcl-2 family members to regulate apoptosis and cell survival. Although BH1-BH4 domains can be identified by their sequence and selective occurrence in Bcl-2-family members, structural regions have not been entirely determined yet. The functional residues of Bax, the most representative pro-apoptotic protein of the human Bcl-2 family, remain almost unknown. Here, we … …American Journal of Infectious Diseases, Vol. 3, Issue 2 · 30 Jun 2007 · 7,230 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDistributed and Parallel Decision Forest for Human Activities Prediction: Experimental Analysis on HAR-Smartphones DatasetBudi Padmaja, Venkata Rama Prasad Vaddella, Kota Venkata Naga SunithaSensor-based human motion detection requires the subtle amount of knowledge about various human activities from fitted sensor observations and readings. The prevalent pattern recognition methodologies have made immense progress over recent years. Nonetheless, these kind of methods usually rely on the particular heuristic variable extraction, which could inhibit generalization realization. This paper presents a distributed and parallel decision forest approach … …Journal of Computer Science, Vol. 15, Issue 5 · 11 May 2019 · 7,392 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Review ArticleOpen accessIn the keywordsAdvances in Forest Fire Detection, Prediction and Behavior: A Comprehensive SurveyAhmad Alkhatib, Khalid JaberForest fires are a major environmental challenge that poses a threat to both human life and ecological health. To effectively prevent and manage forest fires, it is crucial to have reliable detection, prediction and behavior analysis systems in place. This study provides a comprehensive survey of the different approaches and techniques used for forest fire detection, prediction and behavior analysis. … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,419 accessesView PDFCite
Research ArticleOpen accessIn the keywordsField Data Based Method for Predicting Long-Term SettlementsJianping Jiang, Qingsheng Chen, Sanjay NimbalkarThe estimation of the long-term foundation settlement in soft soil is very complex, which is attributed to a number of uncertainties associated with various factors, such as: (i) The compressibility parameters obtained in the laboratory from samples of relatively small size that are more homogeneous compared to heterogeneous field sediments in which various soil types may be interlayered at random … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 22 Feb 2016 · 8,249 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBUSINESS INTELLIGENCE SERVICE BASED ON ADAPTIVE USER MODELING AND GROUPINGJinhyung Kim, Myunggwon Hwang, Do-Heon Jeong et al.In this study, we suggest the mobile business intelligence service based on adaptive recognition of user intention and usage patterns. This service is named as InSciTe adaptive and based on text mining and semantic web technologies. This service supports not only technology-focusing analysis and prediction but also adaptive recognition about user’s intention by semi-automatic user modeling process. By the adaptive … …Journal of Computer Science, Vol. 9, Issue 10 · 17 Sep 2013 · 6,628 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Review on Clustering and Outlier Analysis Techniques in DataminingS. Koteeswaran, P. Visu, J. JanetProblem statement: The modern world is based on using physical, biological and social systems more effectively using advanced computerized techniques. A great amount of data being generated by such systems; it leads to a paradigm shift from classical modeling and analyses based on basic principles to developing models and the corresponding analyses directly from data. The ability to extract useful … …American Journal of Applied Sciences, Vol. 9, Issue 2 · 26 Dec 2011 · 7,372 accessesView PDFCite