Implementing discrete least squares software for real-world data analysis to find velocity
Determining velocity accurately from real-world data is crucial in many scientific and technical fields. However, there are many obstacles to overcome when attempting to extract accurate velocity information from unclear or inconsistent datasets. In this research article, we provide a thorough expla...
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| Format: | Article |
| Language: | en |
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Academica Press Solutions
2024
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| Online Access: | https://ir.uitm.edu.my/id/eprint/128805/1/128805.pdf https://doi.org/10.64382/mjii.v3i6.104 https://ir.uitm.edu.my/id/eprint/128805/ https://journal.academicapress.org/aps/index.php/mjii |
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| author | Salim Nasir, Mohd Agos Rathi, Sidik Suhami, Siti Izzati Amni Abu Bakar, Siti Athirah Sadikin, Zubaidah Harun, Nurzalina |
| author_facet | Salim Nasir, Mohd Agos Rathi, Sidik Suhami, Siti Izzati Amni Abu Bakar, Siti Athirah Sadikin, Zubaidah Harun, Nurzalina |
| author_sort | Salim Nasir, Mohd Agos |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Determining velocity accurately from real-world data is crucial in many scientific and technical fields. However, there are many obstacles to overcome when attempting to extract accurate velocity information from unclear or inconsistent datasets. In this research article, we provide a thorough explanation of the application of discrete least squares (DLS) software for velocity analysis using actual data analysis. DLS provides a strong framework for estimating velocity from continuous datasets by minimizing the sum of the differences between actual and predicted values, using the concepts of least squares optimization. By using theoretical explanation, realistic examples, and quantitative verifications utilizing a variety of datasets, we clarify the effectiveness and suitability of DLS for correctly and efficiently obtaining velocity data. In addition, we go into the mathematical foundations, computational techniques, and practical problems related to DLS implementation, offering useful knowledge. Additionally, we go into the conceptual foundations, practical issues, and computational techniques related to the implementation of DLS, offering insightful information to researchers as well as practitioners. This research is significant because it has the potential to improve velocity prediction from real-world data in terms of accuracy and dependability. This will help with decision-making and advance scientific understanding in a variety of fields. This work advances knowledge and innovation in domains ranging from biology and economics to physics and engineering by providing researchers with strong tools and methodologies for velocity analysis. Overall, our research demonstrates that discrete least squares is a flexible and effective method for obtaining useful velocity information from large, complicated datasets, providing new opportunities for investigation and learning across a variety of fields. |
| format | Article |
| id | my.uitm.ir-128805 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2024 |
| publisher | Academica Press Solutions |
| record_format | eprints |
| spelling | my.uitm.ir-1288052026-01-15T02:37:15Z https://ir.uitm.edu.my/id/eprint/128805/ Implementing discrete least squares software for real-world data analysis to find velocity Salim Nasir, Mohd Agos Rathi, Sidik Suhami, Siti Izzati Amni Abu Bakar, Siti Athirah Sadikin, Zubaidah Harun, Nurzalina Evolutionary programming (Computer science). Genetic algorithms Engineering mathematics. Engineering analysis Determining velocity accurately from real-world data is crucial in many scientific and technical fields. However, there are many obstacles to overcome when attempting to extract accurate velocity information from unclear or inconsistent datasets. In this research article, we provide a thorough explanation of the application of discrete least squares (DLS) software for velocity analysis using actual data analysis. DLS provides a strong framework for estimating velocity from continuous datasets by minimizing the sum of the differences between actual and predicted values, using the concepts of least squares optimization. By using theoretical explanation, realistic examples, and quantitative verifications utilizing a variety of datasets, we clarify the effectiveness and suitability of DLS for correctly and efficiently obtaining velocity data. In addition, we go into the mathematical foundations, computational techniques, and practical problems related to DLS implementation, offering useful knowledge. Additionally, we go into the conceptual foundations, practical issues, and computational techniques related to the implementation of DLS, offering insightful information to researchers as well as practitioners. This research is significant because it has the potential to improve velocity prediction from real-world data in terms of accuracy and dependability. This will help with decision-making and advance scientific understanding in a variety of fields. This work advances knowledge and innovation in domains ranging from biology and economics to physics and engineering by providing researchers with strong tools and methodologies for velocity analysis. Overall, our research demonstrates that discrete least squares is a flexible and effective method for obtaining useful velocity information from large, complicated datasets, providing new opportunities for investigation and learning across a variety of fields. Academica Press Solutions 2024-11-05 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/128805/1/128805.pdf Salim Nasir, Mohd Agos and Rathi, Sidik and Suhami, Siti Izzati Amni and Abu Bakar, Siti Athirah and Sadikin, Zubaidah and Harun, Nurzalina (2024) Implementing discrete least squares software for real-world data analysis to find velocity. (2024) Malaysia Journal of Invention and Innovation <https://ir.uitm.edu.my/view/publication/Malaysia_Journal_of_Invention_and_Innovation.html>, 3 (6): 2. pp. 9-18. ISSN 2976-2170 https://journal.academicapress.org/aps/index.php/mjii https://doi.org/10.64382/mjii.v3i6.104 https://doi.org/10.64382/mjii.v3i6.104 |
| spellingShingle | Evolutionary programming (Computer science). Genetic algorithms Engineering mathematics. Engineering analysis Salim Nasir, Mohd Agos Rathi, Sidik Suhami, Siti Izzati Amni Abu Bakar, Siti Athirah Sadikin, Zubaidah Harun, Nurzalina Implementing discrete least squares software for real-world data analysis to find velocity |
| title | Implementing discrete least squares software for real-world data analysis to find velocity |
| title_full | Implementing discrete least squares software for real-world data analysis to find velocity |
| title_fullStr | Implementing discrete least squares software for real-world data analysis to find velocity |
| title_full_unstemmed | Implementing discrete least squares software for real-world data analysis to find velocity |
| title_short | Implementing discrete least squares software for real-world data analysis to find velocity |
| title_sort | implementing discrete least squares software for real-world data analysis to find velocity |
| topic | Evolutionary programming (Computer science). Genetic algorithms Engineering mathematics. Engineering analysis |
| url | https://ir.uitm.edu.my/id/eprint/128805/1/128805.pdf https://doi.org/10.64382/mjii.v3i6.104 https://ir.uitm.edu.my/id/eprint/128805/ https://journal.academicapress.org/aps/index.php/mjii https://doi.org/10.64382/mjii.v3i6.104 |
| url_provider | http://ir.uitm.edu.my/ |