[HTML][HTML] Heterogeneous ensemble machine learning to predict the asiaticoside concentration in centella asiatica urban
K Sriprateep, S Sala-Ngamand, S Khonjun… - Intelligent Systems with …, 2024 - Elsevier
This study proposes a novel heterogeneous ensemble machine learning methodology to
predict the concentration of asiaticoside in Centella asiatica (CA-CA) in the context of the …
predict the concentration of asiaticoside in Centella asiatica (CA-CA) in the context of the …
Artificial neural network based prediction and optimization of centelloside content in Centella asiatica: A comparison between multilayer perceptron (MLP) and radial …
Centella asiatica consists of centellosides that impart medicinal properties to the plant.
Diverse geographical regions lead to variation in centelloside content due to the influence of …
Diverse geographical regions lead to variation in centelloside content due to the influence of …
Machine learning in TCM with natural products and molecules: current status and future perspectives
S Ma, J Liu, W Li, Y Liu, X Hui, P Qu, Z Jiang, J Li… - Chinese medicine, 2023 - Springer
Traditional Chinese medicine (TCM) has been practiced for thousands of years with clinical
efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have …
efficacy. Natural products and their effective agents such as artemisinin and paclitaxel have …
Origin Intelligent Identification of Angelica sinensis Using Machine Vision and Deep Learning
Z Zhang, J Xiao, S Wang, M Wu, W Wang, Z Liu… - Agriculture, 2023 - mdpi.com
The accurate identification of the origin of Chinese medicinal materials is crucial for the
orderly management of the market and clinical drug usage. In this study, a deep learning …
orderly management of the market and clinical drug usage. In this study, a deep learning …
Artificial neural network prediction and comparative evaluation of pharmaceutical important flavones and antioxidant compositions in Teucrium polium callus culture …
M Tabarifard, M Cheniany, M Khalilian-movahhed - 2023 - researchsquare.com
The present research study evaluated the effects of four concentrations of
Benzylaminopurine (BAP) in combination with three concentrations of Naphthalene acetic …
Benzylaminopurine (BAP) in combination with three concentrations of Naphthalene acetic …
TCMFP: a novel herbal formula prediction method based on network target's score integrated with semi-supervised learning genetic algorithms
Q Niu, H Li, L Tong, S Liu, W Zong… - Briefings in …, 2023 - academic.oup.com
Traditional Chinese medicine (TCM) has accumulated thousands years of knowledge in
herbal therapy, but the use of herbal formulas is still characterized by reliance on personal …
herbal therapy, but the use of herbal formulas is still characterized by reliance on personal …
Identification of toxic herbs using deep learning with focus on the sinomenium acutum, aristolochiae manshuriensis caulis, akebiae caulis
J Cho, S Jeon, S Song, S Kim, D Kim, J Jeong, G Choi… - Applied Sciences, 2019 - mdpi.com
Toxic herbs are similar in appearance to those known to be safe, which can lead to medical
accidents caused by identification errors. We aimed to study the deep learning models that …
accidents caused by identification errors. We aimed to study the deep learning models that …
Deep learning model for classification and bioactivity prediction of essential oil-producing plants from Egypt
Reliance on deep learning techniques has become an important trend in several science
domains including biological science, due to its proven efficiency in manipulating big data …
domains including biological science, due to its proven efficiency in manipulating big data …
EfficientNet Ensemble Learning: Identifying Ethiopian Medicinal Plant Species and Traditional Uses by Integrating Modern Technology with Ethnobotanical Wisdom
MA Kiflie, DP Sharma, MA Haile, R Srinivasagan - Computers, 2024 - mdpi.com
Ethiopia is renowned for its rich biodiversity, supporting a diverse variety of medicinal plants
with significant potential for therapeutic applications. In regions where modern healthcare …
with significant potential for therapeutic applications. In regions where modern healthcare …
Development of machine learning models using multi-source data for geographical traceability and content prediction of Eucommia ulmoides leaves
Y Zhang, X Zhu - Spectrochimica Acta Part A: Molecular and …, 2024 - Elsevier
Rapid and scientific quality evaluation is a hot topic in the research of food and medicinal
plants. With the increasing popularity of derivative products from Eucommia ulmoides …
plants. With the increasing popularity of derivative products from Eucommia ulmoides …