Has the Future Started? The Current Growth of ArtificialIntelligence, Machine Learning, and Deep Learning
Yazarlar (7)
Karan Aggarwal
Maharishi Markandeshwar (Deemed To Be University), Hindistan
Maharishi Markandeshwar (Deemed To Be University), Hindistan
Maad Mijwil
Economic Sciences University, Irak
Economic Sciences University, Irak
Abdel-Hameed Al-Mistarehi Faculty of Medicine Jordan University of Science And Technology, Türkiye
Safwan Alomari
Johns Hopkins University School of Medicine, Amerika Birleşik Devletleri
Johns Hopkins University School of Medicine, Amerika Birleşik Devletleri
Prof. Dr. Murat GÖK Yalova Üniversitesi, Türkiye
Anas M. Zein Alaabdin
Faculty of Medicine Jordan University of Science And Technology, Ürdün
Faculty of Medicine Jordan University of Science And Technology, Ürdün
Safaa H. Abdulrhman
Economic Sciences University, Irak
Economic Sciences University, Irak
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | Iraqi Journal for Computer Science and Mathematics | ||
| Dergi ISSN | 2788-7421 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCOPUS | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 30-01-2022 |
| Cilt / Sayı / Sayfa | 3 / 1 / 115–123 | DOI | 10.52866/ijcsm.2022.01.01.013 |
| Makale Linki | https://journal.esj.edu.iq/index.php/IJCM/article/view/100 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| In the modern era, many terms related to artificial intelligence, machine learning, and deep learningare widely used in domains such as business, healthcare, industries, and military. In these fields, the accurateprediction and analysis of data are crucial, regardless of how large the data are. However, using big data is confusingdue to the rapid growth and massive development in public life, which requires a tremendous human effort in orderto deal with such type of data and extract worthy information from it. Thus, the role of artificial intelligence beginsin analyzing big data based on scientific techniques, especially in machine learning, whereby it can identify patternsof decision-making and reduce human intervention. In this regard, the significance role of artificial intelligence, machine learning and deep learning is growing rapidly. In this article, the authors decide to highlight these sciencesby discussing how to develop and apply them in many decision-making domains. In addition, the influence of artificialintelligence in healthcare and the gains this science provides in the face of the COVID-19 pandemic are highlighted. This article concludes that these sciences have a significant impact, especially in healthcare, as well as the abilityto grow and improve their methodology in decision-making. Additionally, artificial intelligence is a vital science, especially in the face of COVID-19. |
| Anahtar Kelimeler |
| Artificial Intelligence | COVID-19 | Deep learning | Machine learning | Medicine | Sciences | Vision |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 101 |
| Scopus | 302 |
| Google Scholar | 486 |