Amirreza Daghighi - JoVE Visualize

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Toxics|December 22, 2022

In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR ApproachAmirreza Daghighi, Gerardo M Casanola-Martin, Troy Timmerman, et al.

Foods (Basel, Switzerland)|July 13, 2024

Phenolic Acid-β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR StudyKweeni Iduoku, Marvellous Ngongang, Jayani Kulathunga, et al.

Environmental Science & Technology|May 27, 2024

Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning ModelingAmirreza Daghighi, Gerardo M Casanola-Martin, Kweeni Iduoku, et al.

Polymers|October 16, 2024

Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)Estefania Ascencio-Medina, Shan He, Amirreza Daghighi, et al.

Sensors (Basel, Switzerland)|November 25, 2023

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode SpectroscopyMitchell Sueker, Amirreza Daghighi, Alireza Akhbardeh, et al.

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Showing results (1-10 of 5) with videos related to

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Toxics|December 22, 2022

In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR ApproachAmirreza Daghighi, Gerardo M Casanola-Martin, Troy Timmerman, et al.

Foods (Basel, Switzerland)|July 13, 2024

Phenolic Acid-β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR StudyKweeni Iduoku, Marvellous Ngongang, Jayani Kulathunga, et al.

Environmental Science & Technology|May 27, 2024

Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning ModelingAmirreza Daghighi, Gerardo M Casanola-Martin, Kweeni Iduoku, et al.

Polymers|October 16, 2024

Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR)Estefania Ascencio-Medina, Shan He, Amirreza Daghighi, et al.

Sensors (Basel, Switzerland)|November 25, 2023

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode SpectroscopyMitchell Sueker, Amirreza Daghighi, Alireza Akhbardeh, et al.

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