Analysis of environmental factors using AI and ML methods
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2022/08/02
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Journal
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Indian UGC (journal)
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Refrences38
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Citations23
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Mohd Anul Haq
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Ahsan Ahmed
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Ilyas Khan
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Jayadev Gyani
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Abdullah Mohamed
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El-Awady Attia
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Pandian Mangan
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Dinagarapandi Pandi
Abstract
Cite
Haq, Mohd Anul, et al. “Analysis of Environmental Factors Using AI and ML Methods”. Scientific Reports, vol. 12, no. 1, 2022, https://doi.org/10.1038/s41598-022-16665-7.
Haq, M. A., Ahmed, A., Khan, I., Gyani, J., Mohamed, A., Attia, E.-A., Mangan, P., & Pandi, D. (2022). Analysis of environmental factors using AI and ML methods. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-16665-7
Haq, Mohd Anul, Ahsan Ahmed, Ilyas Khan, Jayadev Gyani, Abdullah Mohamed, El-Awady Attia, Pandian Mangan, and Dinagarapandi Pandi. “Analysis of Environmental Factors Using AI and ML Methods”. Scientific Reports 12, no. 1 (2022). https://doi.org/10.1038/s41598-022-16665-7.
Haq MA, Ahmed A, Khan I, Gyani J, Mohamed A, Attia EA, et al. Analysis of environmental factors using AI and ML methods. Scientific Reports. 2022;12(1).
Journal Categories
Medicine
Science
Science
Science (General)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| SMOTEDNN: A Novel Model for Air Pollution Forecasting and AQI Classification | Computers, Materials & Continua | 25 | 2022 | |
| CDLSTM: A Novel Model for Climate Change Forecasting | Computers, Materials & Continua | 37 | 2022 | |
| Planetscope Nanosatellites Image Classification Using Machine Learning | Computer Systems Science and Engineering |
| 31 | 2022 |
| A long short‐term memory‐based model for greenhouse climate prediction | International Journal of Intelligent Systems |
| 96 | 2022 |
| Smart shale gas production performance analysis using machine learning applications | Petroleum Research |
| 23 | 2022 |
Refrences Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 6
is the most frequently represented among the references in this article. It primarily includes studies from International Journal of Intelligent Systems and PLOS ONE. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Mechanisms of climate change impacts on vegetation and prediction of changes on the Loess Plateau, China | Environmental Earth Sciences |
| 2024 | |
| Impact of Climate Change on the Australian Agricultural Export | Environmental Processes |
| 2024 | |
| Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches | Earth Systems and Environment |
| 2024 | |
| A deep learning-based illumination transform for devignetting photographs of dermatological lesions | Image and Vision Computing |
| 1 | 2024 |
| Recent applications of AI to environmental disciplines: A review | Science of The Total Environment |
| 7 | 2024 |
Citations Analysis
The category
Geography. Anthropology. Recreation: Environmental sciences 9
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning and was published in 2022. The most recent citation comes from a 2024 study titled Analysis and Forecasting of Temporal Rainfall Variability Over Hundred Indian Cities Using Deep Learning Approaches. This article reached its peak citation in 2023, with 15 citations. It has been cited in 19 different journals, 42% of which are open access. Among related journals, the Remote Sensing cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.