Advanced search
Publication Cover
Drug Design, Development and Therapy Volume 11, 2017 - Issue
Submit an article Journal homepage
92
Views
8
CrossRef citations to date
0
Altmetric
Original Research

Computational intelligence models to predict porosity of tablets using minimum features

Mohammad Hassan Khalid1 Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, PolandCorrespondence[email protected]
,
Pezhman Kazemi1 Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland
,
Lucia Perez-Gandarillas2 Centre National de la Recherche Scientifique, Centre RAPSODEE, Mines Albi, Université de Toulouse, Albi, France
,
Abderrahim Michrafy2 Centre National de la Recherche Scientifique, Centre RAPSODEE, Mines Albi, Université de Toulouse, Albi, France
,
Jakub Szlęk1 Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland
,
Renata Jachowicz1 Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland
&
Aleksander Mendyk1 Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University Medical College, Krakow, Poland
 show all
Pages 193-202 | Published online: 12 Jan 2017

Citations (8)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (1)

Paria Baligh, Naser Honarjoo, Arash Totonchi & Ahmad Jalalian. (2020) Predicting Soil Particulate Organic Mattter Using Artificial Neural Network with Wavelet Function. Communications in Soil Science and Plant Analysis 51:14, pages 1904-1915.
Read now

Articles from other publishers (7)

Amarjitsing Rajput, Ganesh Shevalkar, Krutika Pardeshi & Prashant Pingale. (2023) Computational nanoscience and technology. OpenNano 12, pages 100147.
Crossref
Shan Wang, Jinwei Di, Dan Wang, Xudong Dai, Yabing Hua, Xiang Gao, Aiping Zheng & Jing Gao. (2022) State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation. Pharmaceutics 14:1, pages 183.
Crossref
Li Ge Wang, Chalak Omar, James D. Litster, Jianfeng Li, Niall Mitchell, Stefan Bellinghausen, Dana Barrasso, Agba Salman & David Slade. (2021) Tableting model assessment of porosity and tensile strength using a continuous wet granulation route. International Journal of Pharmaceutics 607, pages 120934.
Crossref
Marta F. Simões, Gabriel Silva, Ana C. Pinto, Marlene Fonseca, Nuno E. Silva, Rui M.A. Pinto & Sérgio Simões. (2020) Artificial neural networks applied to quality-by-design: From formulation development to clinical outcome. European Journal of Pharmaceutics and Biopharmaceutics 152, pages 282-295.
Crossref
Hanbyol Jang, Kihun Bang, Jinseong Jang & Dosik Hwang. (2020) Dynamic Range Expansion Using Cumulative Histogram Learning for High Dynamic Range Image Generation. IEEE Access 8, pages 38554-38567.
Crossref
Chetan Hasmukh Mehta, Reema Narayan & Usha Y. Nayak. (2019) Computational modeling for formulation design. Drug Discovery Today 24:3, pages 781-788.
Crossref
Adam Pacławski, Jakub Szlęk, Thi Quynh Ngoc Nguyen, Raymond Lau, Renata Jachowicz & Aleksander Mendyk. (2018) Carrier optimization of pulmonary powder systems with using computational intelligence tools. Powder Technology 329, pages 76-84.
Crossref

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.