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Research ArticleOpen accessIn the abstractCrowd-Engineering: Managing Innovative Product Design by Widening CollaborationsAgostino Villa, Franco Lombardi, Alberto FavetoGlobal contest has overwhelmed enterprises by the eager demand for products and services with high-tech features, along the entire product life cycle. Several companies reacted by developing the cooperation with high-tech firms. However, in the last decade, another revolutionary asset is emerging together with the worldwide networking evolution, namely the "Crowd-Engineering" (C-E): A huge, flexible and diversified human capital-made of … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 1 · 3 Apr 2022 · 6,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractKPIs and Sustainability of Inspection Services SMEs in Foreign TradeRafael Apolinario, Martha Rodríguez, Julissa BedorThis research seeks to determine whether Key Performance Indicators (KPIs) that incorporate sustainability in small and medium-sized companies (SMEs) of inspection services improve their competitiveness and sustainability in the market with the mix of Triple Bottom Line (TBL) strategies. For this, the best sustainable KPIs can be collected, empowering companies to follow unique steps since the application models of these … …Journal of Social Sciences, Vol. 18, Issue 1 · 8 Feb 2022 · 6,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractSocial Media Sentiment Analysis: The Hajj Tweets Case StudyMohammad Ashraf Ottom, Khalid M.O. NaharAbout forty five percent of the world's population use social networks, thinking of using these platforms seemed to find people's opinions and feelings on various topics. Companies that offer their services and products to customers focus on the subject for future improvement. Thus, serious thinking began to analyze the views of people across different social platforms and also to develop … …Journal of Computer Science, Vol. 17, Issue 3 · 20 Mar 2021 · 7,764 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,189 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Sponsorship Activities and Consumer-Oriented Activities on Growth PerformanceMiray Çelik, Volkan ÖngelSponsorship activities, which mean that an organization should be supported by another institution to promote itself or a product without waiting for monetary provisions, is an important tactical move for companies that want to gain competitive advantage today. The aim of this study is to investigate the effects of sponsorship activities and consumer-oriented activities on the firm's growth performance. The … …American Journal of Economics and Business Administration, Vol. 11, Issue 1 · 31 Oct 2019 · 7,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,233 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Models for Predicting Stock Closing Prices in the Saudi Stock MarketAreej Alhumaidi, Hoda A. AbdelhafezFinancial time series data are inherently volatile and nonlinear, presenting considerable challenges in accurately forecasting stock market trends. This study aims to predict the closing prices of companies listed on the Saudi stock market by analyzing historical data spanning from 2013 to 2023. To this end, four deep learning models were employed-Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), Gated Recurrent … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,363 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,829 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,815 accessesView PDFCite