Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 494 accessesView PDFCite
Research ArticleOpen accessIn the abstractInternational Business Law Concerning Domestic and an International TradeDawood Ahmad, Gideon F. B. SolreLaw is the core discipline of society as well as playing a vital role in any organization which is working and exists in the World. International law and trade are the backbones of global organizations. In this present discussion, secondary data was used. Data were obtained from secondary sources, especially from the law discipline research article, and from authentic and … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 2 Feb 2023 · 7,527 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for Discovering the Patterns by using PDBD Model in Big DataKamatchi Sundravadivelu, Muthuraman ThangarajBig data is a term that refers to information collected from a wide range of sources, including transaction processing systems, sensors, digital photographs, internet click stream logs, movies, and social media. The goal of text mining is to reveal new patterns and relationships that could lead to the discovery of previously unknown sources. It provides ample scope for interpretation of … …Journal of Computer Science, Vol. 18, Issue 5 · 21 May 2022 · 6,052 accessesView PDFCite
Review ArticleOpen accessIn the abstractBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,605 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting the Diffuse Solar Radiation by using a New Modeling over Saudi ArabiaSamy A. KhalilWithin the arranging and execution assessment of solar energy projects, particularly within the planning and estimation of solar photovoltaic sources as elective energy sources within the future, exact evaluation of Diffuse Solar Radiation (DSR) is one of the essential and basic issues. The target of this article is to use the new model to predict DSR in four different locations … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 5 May 2021 · 7,354 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,043 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Reliable Method of Analysis for Geotechnical DataAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranGeotechnical engineering is the art of making decisions in the presence of uncertainty, where real world problems are treated and this is associated with uncertainties arising from various sources. The sources of uncertainty may be divided into uncertainties of nature and uncertainties of mind. The uncertainties of nature are due to variation of encountered phenomena, e.g., the shear strength in … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 26 Dec 2020 · 7,577 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Renewable Energies and Big Data on the Biggest Spanish Energy Power Companies’ Business ModelsPablo de MergelinaSince the emergence of renewable energy sources and thanks to the encouragement of governments and the interest of citizens in an economical, environmentally friendly and sustainable system, the electricity sector is in a transition to renewable energy. Renewable energy is not simply the cornerstone of a transaction, but an entire electric revolution. Literature review reveals the following question: How will … …American Journal of Economics and Business Administration, Vol. 12, Issue 1 · 17 May 2020 · 8,052 accessesView PDFCite