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56 articles for “boosting”
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Review ArticleOpen accessIn the abstractArtificial Intelligence Techniques and External Factors used in Crime Forecasting in Violence and Property: A ReviewRebaz Mala Nabi, Soran Ab. M. Saeed, Habibollah HaronCrime forecasting is beneficial in providing useful information to authorities in planning effective crime prevention measures. The two types of analysis used in crime forecasting are univariate and multivariate. Comparatively, multivariate analysis provides better forecasting accuracy because of its ability to discover crime patterns not previously seen. Crime is strongly influenced by several external factors, including economic, social and demographic. … …Journal of Computer Science, Vol. 16, Issue 2 · 19 Feb 2020 · 7,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation 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
Review ArticleOpen accessIn the abstractArchitecture of Ultra Low Power Micro Energy Harvester Using RF Signal for Health Care Monitoring System: A ReviewFarah Fatin Zulkifli, Jahariah Sampe, Muhammad Shabiul Islam, Mohd Ambri MohamedThis research presents architecture of Ultra Low Power (ULP) Micro Energy Harvester (MEH) using Radio Frequency (RF) signal as an input. RF has many advantages compared to other ambient sources because it is not affected by changes of weather or time, does not require heat or wind exposure and it can be moved randomly within the bound of the transmission … …American Journal of Applied Sciences, Vol. 12, Issue 5 · 7 Jul 2015 · 6,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractSteel Plates Faults Diagnosis with Data Mining ModelsMahmoud Fakhr, Alaa M. ElsayadProblem statement: Over the last two decades, Fault Diagnosis (FD) has a major importance to enhance the quality of manufacturing and to lessen the cost of product testing. Actually, quick and correct FD system helps to keep away from product quality problems and facilitates precautionary maintenance. FD may be considered as a pattern recognition problem. It has been gaining more … …Journal of Computer Science, Vol. 8, Issue 4 · 31 Jan 2012 · 11,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of CRM on the Customer Satisfaction in Agricultural BankMohammad Ali Sarlak, Rasool Sanavi FardProblem statement: There is much research on this subject, but none of them is about the use of customer relationship management for boosting the bank customer satisfaction. While we have not any study about customer satisfaction in Agricultural Bank especially in Qom providence. Approach: The research method was applied one and from viewpoint of the process, was considered to be … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 8,179 accessesView PDFCite
Review ArticleOpen accessIn the abstractInfluence of Foreign Direct Investment on Gross Domestic Product; an Empirical Study of PakistanMuddassar Sarfraz, Shuangqin LiuEmpirical study was conducted to assess the relationship and impact of Foreign Direct Investment (FDI) on the economic growth of Pakistan. FDI plays critical role in the development of economy. There is a positive relationship between the Gross Domestic Product (GDP) and Foreign Direct Investment (FDI). With the increase of FDI, GDP of the country also increases. It has been … …American Journal of Economics and Business Administration, Vol. 7, Issue 2 · 14 Jul 2015 · 7,446 accessesView PDFCite
Research ArticleOpen accessIn the abstractONTOPARK: ONTOLOGY BASED PAGE RANKING FRAMEWORK USING RESOURCE DESCRIPTION FRAMEWORKS. Yasodha, S. S. DhenakaranTraditional search engines like Google and Yahoo fail to rank the relevant information for users’ query. This is because such search engines rely on keywords for searching and they fail to consider the semantics of the query. More sophisticated methods that do provide the relevant information for the query is the need of the time. The Semantic Web that stores … …Journal of Computer Science, Vol. 10, Issue 9 · 24 Apr 2014 · 6,574 accessesView PDFCite
Research ArticleOpen accessIn the abstractREVIEW ON MULTI-AGENT SYSTEM COLLABORATION IN LEARNING MANAGEMENT SYSTEM DOMAIN BY DEPLOYING WIRELESS SENSOR NETWORKS FOR STUDENT LOCATION DETECTIONA. K. Mwinyi, S. A.R. AL-Haddad, S. J. Bin Hashim, R. Bin Hj AbdullahStudent location detection in Learning Management System (LMS) by utilizing Multi-Agent System (MAS) which contains sensor nodes is a new area of research. This study reviews several studies to ascertain the potential of integrating these two technologies to automate students’ class attendance in Higher Learning Institutions (HLIs). Currently, the HLIs are using paper-based process to record students’ attendance in the … …Journal of Computer Science, Vol. 10, Issue 6 · 30 Jan 2014 · 7,677 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite