Search Results - "Daghighi, Amirreza"

A Novel Machine-Learning Framework Based on a Hierarchy of Dispute Models for the Identification of Fish Species Using Multi-Mode Spectroscopy by Sueker, Mitchell, Daghighi, Amirreza, Akhbardeh, Alireza, MacKinnon, Nicholas, Bearman, Gregory, Baek, Insuck, Hwang, Chansong, Qin, Jianwei, Tabb, Amanda M, Roungchun, Jiahleen B, Hellberg, Rosalee S, Vasefi, Fartash, Kim, Moon, Tavakolian, Kouhyar, Kashani Zadeh, Hossein

“…Seafood mislabeling rates of approximately 20% have been reported globally. Traditional methods for fish species identification, such as DNA analysis and…”
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Prediction of Dielectric Constant in Series of Polymers by Quantitative Structure-Property Relationship (QSPR) by Ascencio-Medina, Estefania, He, Shan, Daghighi, Amirreza, Iduoku, Kweeni, Casanola-Martin, Gerardo M, Arrasate, Sonia, González-Díaz, Humberto, Rasulev, Bakhtiyor

“…This work is devoted to the investigation of dielectric permittivity which is influenced by electronic, ionic, and dipolar polarization mechanisms,…”
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In Silico Prediction of the Toxicity of Nitroaromatic Compounds: Application of Ensemble Learning QSAR Approach by Daghighi, Amirreza, Casanola-Martin, Gerardo M, Timmerman, Troy, Milenković, Dejan, Lučić, Bono, Rasulev, Bakhtiyor

“…In this work, a dataset of more than 200 nitroaromatic compounds is used to develop Quantitative Structure-Activity Relationship (QSAR) models for the…”
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Phenolic Acid-β-Cyclodextrin Complexation Study to Mask Bitterness in Wheat Bran: A Machine Learning-Based QSAR Study by Iduoku, Kweeni, Ngongang, Marvellous, Kulathunga, Jayani, Daghighi, Amirreza, Casanola-Martin, Gerardo, Simsek, Senay, Rasulev, Bakhtiyor

“…The need to solvate and encapsulate hydro-sensitive molecules drives noticeable trends in the applications of cyclodextrins in the pharmaceutical industry, in…”
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In Silico Toxicology: Application of Machine Learning for Predicting Toxicity of Organic Compounds by Daghighi, Amirreza

“…Understanding the toxicity of organic compounds is essential to protect human health, the environment, and ensure the safe use of chemicals. While experimental…”
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Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling by Daghighi, Amirreza, Casanola-Martin, Gerardo M., Iduoku, Kweeni, Kusic, Hrvoje, González-Díaz, Humberto, Rasulev, Bakhtiyor

“…In recent years, alternative animal testing methods such as computational and machine learning approaches have become increasingly crucial for toxicity…”
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