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176 articles for “comprehensive analysis”
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Research ArticleOpen accessIn the abstractFramework for the Development and Governance of Strategies Promoting Sustainable Economic GrowthMhamed Serdaoui, Mounia CherkaouiDespite the increasing emphasis on sustainable economic growth, current literature reveals significant fragmentation in approaches and frameworks, often addressing only individual aspects such as environmental, social, governance, economic, or digital factors without integrating them into a cohesive strategy. This lack of a unified framework contributes to the ambiguity and challenges in formulating and implementing effective sustainable economic growth strategies. To … …Journal of Computer Science, Vol. 20, Issue 12 · 21 Nov 2024 · 4,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock 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
Research ArticleOpen accessIn the abstractPM2.5 Prediction Using Homogenous and Heterogenous Ensemble Learning: A Comprehensive EvaluationShrabani Medhi, Minakshi GogoiAir pollution is a global issue. PM2.5 is considered to be the most dangerous pollutant. Prediction of PM2.5 concentration is important so that effective measures can be taken beforehand. A multitude of machine learning methodologies have been employed in forecasting PM2.5 levels, utilizing diverse combinations of ensemble classifiers and regressors. However, there are three important issues that need to be … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 5,176 accessesView PDFCite
Review ArticleOpen accessIn the abstractVegetable Beans: Comprehensive Insights into Diversity, Production, Nutritional Benefits, Sustainable Cultivation and Future ProspectsSayed Shahidul Islam, Shanta Adhikary, Mahabuba Mostafa, Motaher HossainVegetable beans, members of the Fabaceae family, have a rich historical significance as a source of plant-based proteins and nutrients. They have been cultivated worldwide for centuries, enriching the nutritional landscape and constituting a crucial component of human nutrition. The wide array of beans, including common bean, lima bean, tepary bean, mung bean, yard long bean, moth bean, adzuki bean, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 29 Apr 2024 · 5,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Disease Index Based on Multi-Spectra of UAV to Estimate Cotton DiseaseBing Chen, Jing Wang, Qiong Wang et al.Verticillium wilt is a significant disease that affects cotton plants, which can lead to stunted growth and reduced yield. To address this, a multi-spectral comprehensive monitoring disease index model is developed using an Unmanned Aerial Vehicle (UAV) to monitor the severity of cotton Verticillium wilt. First, multi-spectral dates were collected from Hexacopter (HY-6X) and the phenotype disease grade of cotton … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 25 Mar 2024 · 5,087 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdvances 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 abstractAnalysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)Thambusamy Velmurugan, Sridevi Perumal ChokkalingamSentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gauging sentiment can be challenging, particularly when individuals employ specialized language and online shorthand. This research work presents a novel approach to sentiment analysis known as SentiWordNet Adjusted … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 5,939 accessesView PDFCite
Review ArticleOpen accessIn the abstractFemale Sex Hormones Contribute to Vulnerability to Athero-Sclerosis: Overview of Mechanisms and Specific Risk FactorsAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Alexandra Alexandrovna Melnichenko et al.Atherosclerosis poses a significant challenge to the general population, with its prevalence particularly prominent among older individuals. Age, however, is not the sole determinant of risk, as gender also plays a crucial role. Sex-related disparities exist not only in the incidence of atherosclerosis but also in its progression and development. The intricate interplay of hormones in the female reproductive system … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 11 Jan 2024 · 4,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,885 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Bibliometric and Scientometric Analysis of the Marine Biotechnology Research Using CiteSpace: A Web of Science Based Study (1980-2023)Jasnizat Saidin, Idham Sumarto Pratama, Mohamad Nor Azra et al.A growing interest in marine biotechnology has spurred the exploitation of oceanic resources for novel products. However, a comprehensive, data-driven mapping of this evolving landscape remains limited. This study presents a systematic scientometric analysis using CiteSpace to map global research trends and structural knowledge domains in marine biotechnology. Utilizing metadata extracted from the Web of Science Core Collection (WoSCC) database, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 28 Sep 2026 · 505 accessesView PDFCite