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Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model

Najmi, Maryam; Ayari, Mohamed A.; Sadeghsalehi, Hamidreza; Vaferi, Behzad; Khandakar, Amith; ... more authors ... less authors ( MDPI , 2022 , Article)

Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ...

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images

Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Kiranyaz, Serkan; ... more authors ... less authors ( MDPI , 2022 , Article)

Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals

Mahmud, Sakib; Ibtehaz, Nabil; Khandakar, Amith; Tahir, Anas M.; Rahman, Tawsifur; ... more authors ... less authors ( MDPI , 2022 , Article)

Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ...

Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies

Wang, Jing; Ayari, Mohamed A.; Khandakar, Amith; Chowdhury, Muhammad E. H.; Uz Zaman, Sm A.; ... more authors ... less authors ( MDPI , 2022 , Article)

Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ...

Novel and robust machine learning approach for estimating the fouling factor in heat exchangers

Hosseini, Saleh; Khandakar, Amith; Chowdhury, Muhammad E.H.; Ayari, Mohamed Arselene; Rahman, Tawsifur; ... more authors ... less authors ( Elsevier , 2022 , Article)

The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ...

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; ... more authors ... less authors ( MDPI , 2021 , Article)

Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ...