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Research ArticleOpen accessIn the abstractDiverse Trajectory on Consumer’s Product Feedback Analysis by Confidence IntervalVithya Ganesan, Kirubakaran Namaskaram, Viriyala Sri Anima Padmini et al.The current investigation addresses the possibilities and limitations of the sentiment analysis of consumer remarks in the context of economic needs. It makes it easier for businesses to comprehend how the public's opinion shapes their abilities to satisfy clientele. Sentiment analysis concerns the assessment and interpretation of various forms of evaluation, such as product ratings, reviewer responses, and question-and-answer sessions. … …Journal of Computer Science, Vol. 21, Issue 5 · 28 Apr 2025 · 5,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Neural Networks Towards Electronic Trust QuantificationSmitha Zacaria, Tiny du ToitTrust is a broad term applicable in various contexts. Trust between electronic entities is complex to quantify, particularly in intricate networks. Traditional trust algorithms rely on historical trust values, requiring storage and access to past transaction details. Contextual variations further complicate trust calculation. Challenges in calculating trust include heightened computational complexities, managing information storage, and securing access to extensive datasets … …Journal of Computer Science, Vol. 20, Issue 11 · 26 Sep 2024 · 4,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Customers’ Satisfaction Using Sentiment Analysis: Model and ToolAhmed Alqurafi, Tawfeeq AlsanoosyCustomer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what extent customers are satisfied with a service or a product. Therefore, these reviews can be used by companies and business owners to improve their services or products. However, numerous … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Artificial Neural Network Point Forecasting Models and Prediction Intervals for Solar Irradiance EstimationAntônio Fabrício Guimarães de Sousa, Helaine Cristina Moraes Furtado, Wilson Negrão Macêdo, Anderson Alvarenga de Moura MenesesAn accurate knowledge on solar irradiance prediction is particularly required for proper development and planning of Photovoltaic (PV) energy systems. The main purpose of the present research is to assess the accuracy of Artificial Neural Networks (ANN) short-term forecast of univariate solar irradiance time series, with conventional point prediction and Prediction Intervals (PIs), comparing models. The Lower Upper Bound Estimation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 17 Jul 2020 · 7,440 accessesView PDFCite
Case ReportOpen accessIn the abstractLeprosy in a Patient Coinfected with HIV and SyphilisCarla Andréa Avelar Pires, Julius Caesar Mendes Soares, Maria Amélia Lopes dos Santos et al.Case report of a male patient, fifty years old, born in the Amazon region of Belém, Pará, northern Brazil. He was attended at a University service of reference in Dermatology on 09/14/2018, referring to "ball injuries" about a year ago with a sudden and progressive appearance in the abdomen with dissemination to the whole body. Three months ago he was … …American Journal of Infectious Diseases, Vol. 15, Issue 2 · 29 Jul 2019 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis: Comparative Study between GSVM and KNNHany Mohamed, Ayman Atia, Mostafa-Sami M. MostafaSentiment classification aims detecting general opinion of users in social media towards business products or daily life events. The classification tells whether sentiment is positive or negative. Techniques of sentiment classification are categorized into lexical analysis and machine learning techniques. In this paper, we propose a comparative study between SVM applied genetics (GSVM) against KNN algorithm in terms of speed … …American Journal of Applied Sciences, Vol. 15, Issue 6 · 1 Aug 2018 · 8,359 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,253 accessesView PDFCite