stdClass Object
(
    [id] => 15466
    [paper_index] => 202503-02-020772
    [title] => APPLY ARTIFICIAL INTELLIGENCE FOR ENVIRONMENTAL HEALTH: TENDING TO HEAVY METAL CONTAMINATION AND ENCOURAGING SUSTAINABLE INITIATIVES IN VARIOUS REGIONS
    [description] => 
    [author] => Savan Tank
    [googlescholar] => 
    [doi] => 
    [year] => 2025
    [month] => March
    [volume] => 10
    [issue] => 3
    [file] => fm/jpanel/upload/2025/April/202503-02-020772.pdf
    [abstract] => The utilization of artificial intelligence (simulated intelligence) in ecological examinations has developed significantly as the world's local area confronts unprecedented environmental challenges, with the goal of mitigating the impacts of human activity. A broad assessment of artificial intelligence's capability to distinguish, follow, and control heavy metal contamination in numerous advanced spaces is given in this work. We exhibit the capability of Artificial Intelligence in finding wellsprings of defilement, deciding risk levels, and coordinating remediation methodology by using state-of-the-art algorithms, prescient modeling, and AI strategies. Also, we explore how Artificial intelligence fueled arrangements may be coordinated with harmless to the ecosystem rehearses in industry, agribusiness, and metropolitan wanting to diminish the probability of Heavy metal deliveries into the climate later on.
 In conclusion, we feature the need for interdisciplinary collaboration to deal with worldwide ecological worries comprehensively and overcome the restrictions and future paths in artificial intelligence applications for natural examinations.

    [keywords] => Artificial Intelligence, Natural Resources, Heavy Metal Contamination, Environmental Health, Sustainability
    [doj] => 2025-04-03
    [hit] => 
    [status] => 
    [award_status] => P
    [orderr] => 54
    [journal_id] => 2
    [googlesearch_link] => 
    [edit_on] => 
    [is_status] => 1
    [journalname] => EPRA International Journal of Research & Development (IJRD)
    [short_code] => IJSR
    [eissn] =>  2455-7838 (Online)
    [pissn] => - -
    [home_page_wrapper] => images/products_image/2-n.png
)
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