2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models".发表在期刊《Environmental Science and Pollution Research》上,发表时间:2025-03-13,作者:Adewole Adetoro Ajala" />

Answer to "comments on an examination of daily CO2 emissions prediction through a comparative analysis of machine learning, deep learning, and statistical models".

IF 5.8 3区 环境科学与生态学 0 ENVIRONMENTAL SCIENCES Environmental Science and Pollution Research Pub Date : 2025-03-13 DOI:10.1007/s11356-025-36088-x
Adewole Adetoro Ajala
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来源期刊
CiteScore
8.70
自引率
17.20%
发文量
6549
审稿时长
3.8 months
期刊介绍: Environmental Science and Pollution Research (ESPR) serves the international community in all areas of Environmental Science and related subjects with emphasis on chemical compounds. This includes: - Terrestrial Biology and Ecology - Aquatic Biology and Ecology - Atmospheric Chemistry - Environmental Microbiology/Biobased Energy Sources - Phytoremediation and Ecosystem Restoration - Environmental Analyses and Monitoring - Assessment of Risks and Interactions of Pollutants in the Environment - Conservation Biology and Sustainable Agriculture - Impact of Chemicals/Pollutants on Human and Animal Health It reports from a broad interdisciplinary outlook.
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Ivan Holoubek (* April 11, 1951 † January 19, 2025) long-time director of the RECETOX Centre, Masaryk University, Brno, Czech Republic, has passed away. Simultaneous adsorption of polycyclic aromatic hydrocarbons (PAHs) on biochar from sewage sludge. Comparative energy demand and carbon footprint analysis of textile waste management systems in Australia. Emerging antibiotic pollution and its remedy by waste based biochar adsorbents: a review. Prenatal arsenic exposure alters EZH2/H3K27me3 to induce RKIP/NF-kB/ERK1/2-mediated early-onset kidney disease in mouse offspring.
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