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Data-driven prediction of CIMS signal intensity for pesticide detection via dibromomethane reagent using machine learning techniques

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Year: 2026
Type: article
Source: European Journal of Mass Spectrometry
DOI: 10.1177/14690667251411711
Authors: Chaoqun Wen, Shaxnoza Saydaxmetova, Suranjana V. Mayani, Suhas Ballal, Harshit Gupta, Subhashree Ray, Aashna Sinha, Vikasdeep Singh Mann, Ahamad Alewedee, Issa Mohammed Kadhim, Aseel Smerat, Zarghuna Hekmatyar
Institutions: Changde College, National Pedagogical University of Uzbekistan named after Nizami, Chongqing Institute of Engineering, Marwadi University, Jain University, Chitkara University, Siksha O Anusandhan University, Institute of Medical Sciences and Sum Hospital, Uttaranchal University, Iraqi University, Al-Nisour University College, Al-Ahliyya Amman University, Nangarhar University
Language: English

Topic: Mass Spectrometry Techniques and Applications
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences

Open Access status: closed
OpenAlex ID: W7129017558
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Cites: 27
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