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Research ArticleOpen accessIn the keywordsAN EFFECTIVE TECHNIQUE OF MULTIPLE IMPUTATION IN NONPARAMETRIC QUANTILE REGRESSIONYanan Hu, Qianqian Zhu, Maozai TianIn this study, we consider the nonparametric quantile regression model with the covariates Missing at Random (MAR). Multiple imputation is becoming an increasingly popular approach for analyzing missing data, which combined with quantile regression is not well-developed. We propose an effective and accurate two-stage multiple imputation method for the model based on the quantile regression, which consists of initial imputation … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 4 Jan 2014 · 6,813 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEfficiency Comparison of Operational and Profitability: A Case of Hong Kong Commercial BanksCheng-Ru Wu, Hui-Yin Tsai, Ya-Mei WangProblem Statement: Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. The objectives of this study were: (i) This research was shown how to use DEA by two stages, with outputs from the first stage becoming inputs in … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTax Exportability in Tourism MarketMohammad Mohebi, Khalid Abdul Rahim, Lee Chin, Khairil Wahidin AwangProblem statement: Tax incidence is a basic topic in public economics as the tourism industry is an increasingly major contributor to government revenue. Generally, government taxation objectives are for the purpose of financing programs that improve people’s lives and economic prosperity, accelerate economic growth and allow for access to sustainable development. In the first view, tax policy decisions by government … …American Journal of Economics and Business Administration, Vol. 3, Issue 2 · 14 Jun 2011 · 7,679 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Mother Plant and Somatic Embryo Registry for the Propagation and Conservation of Artificial Seeds of the Orchid Phragmipedium kovachiiOsber Cunia, Manuel Oliva, Segundo G. Chavez et al.Phragmipedium kovachii, is an endemic orchid that naturally inhabits the humid zones of the Amazonas region in Peru. Currently, it has been extracted from its natural habitat, listed as critically endangered by CITES, suggesting searching for conservation strategies in vitro and in situ. Therefore, this research established an in vitro protocol to obtain and conserve artificial seed, through four events: … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 8 Jul 2024 · 5,302 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Cloud-Based Approach for Privacy-Preserving Medical Image Retrieval: Leveraging Local Features and PCA in Two Efficient StepsM Geetha Yadav, SP ChokkalingamThe major challenges of content-based image retrieval are searching, ranking, and retrieving in secure mode. In this article, we propose a two-step security approach for each database image, utilizing encryption mechanisms and cloud technology. In this approach, the watermark-embedded encrypted images, along with the efficient feature vector database and the list of authenticated users, will be stored in the cloud. … …Journal of Computer Science, Vol. 20, Issue 12 · 4 Nov 2024 · 4,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn Sacco and in vitro Evaluation of Heating and Formaldehyde Treated Protein FeedAnnisa Rosmalia, Idat Galih Permana, Despal, Toto ToharmatMassive protein conversion into ammonia in the Rumen (RDP) should be avoided to prevent protein quality deterioration. Heating and formaldehyde treatments are commonly used to decrease Rumen-Degradable Protein (RDP), but it rarely used to protect local feed. We aimed to compare the effectiveness of heating and formaldehyde treatments in decreasing the RDP of local feed. The use of fistulated cattle, … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 1 · 12 Feb 2024 · 6,253 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterizing Soil Penetration Resistance of Planted Sago Palm (Metroxylon spp.) Under Mineral Soils EcosystemMohd Effendi Wasli, Nurul Hidayah Che Ali, Roland Yong et al.In-situ soil assessment such as field soil compaction can often be a helpful approach in help determining soil suitability for certain crops. In this study, an assessment was conducted to characterize the Soil Penetration Resistance (SPR) in planted sago palm (Metroxylon spp.) plantation at different growth of rosette and trunking stages under mineral soils ecosystem. SPR in-situ assessment would provide … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 20 Dec 2021 · 6,731 accessesView PDFCite