A5005852189- Machine Learning in Materials Science
- Perovskite Materials and Applications
- Conducting polymers and applications
- Crystallography and molecular interactions
- Web Data Mining and Analysis
- Text and Document Classification Technologies
- Hearing Impairment and Communication
- Organic and Molecular Conductors Research
- Metal-Organic Frameworks: Synthesis and Applications
- Human Pose and Action Recognition
- Various Chemistry Research Topics
- Computational Drug Discovery Methods
- Web visibility and informetrics
- Algal biology and biofuel production
- Hand Gesture Recognition Systems
Fulbright University Vietnam
2021-2024
The University of Texas at Dallas
2024
Lead City University
2024
FPT University
2023
Trường ĐH Nguyễn Tất Thành
2017
Synthetic design allowing predictive control of charge transfer and other optoelectronic properties Lewis acid adducts remains elusive. This challenge must be addressed through complementary methods combining experimental with computational insights from first principles. Ab initio calculations for can computationally expensive less straightforward than those sufficient simple ground-state properties, especially large conjugated molecules acids. In this contribution, we show that machine...
Investigation of Lewis acid-base interactions has been conducted by ab initio calculations and Machine Learning (ML) models. This study aims to resolve two critical tasks that have not quantitatively investigated. First, ML models developed from Density Functional Theory (DFT) predict experimental BF3 affinity with Pearson correlation coefficients around 0.9 mean absolute errors 10 kJ mol-1. The are trained DFT-calculated more than 3000 adducts, input features readily obtained rdkit. Second,...
The effect of nutrient starvation on lipid accumulation Dunaliella salina A9 was studied. In starvation, cell colour changed from green to yellow (or orange) and growth reached stationary phase after 9 days the culture. study showed that under stress, decreased in is accompanied by carotenoid biosynthesis content salina. results this can be used increase production microalgae for functional food biofuel future.
Abstract Investigation of Lewis acid–base interactions has been conducted by ab initio calculations and machine learning (ML) models. This study aims to resolve two critical tasks that have not quantitatively investigated. First, ML models developed from density functional theory (DFT) predict experimental BF 3 affinity with Pearson correlation coefficients around 0.9 mean absolute errors 10 kJ mol −1 . The are trained DFT‐calculated more than 3000 adducts, input features readily obtained...
<title>Abstract</title> Web page segmentation is a fundamental technique applied in information retrieval systems to enhance web crawling tasks and extraction. Its purpose gain deep insights from results extract the main content of webpage by disregarding irrelevant regions. Over time, several solutions have been proposed address problem using different approaches learning strategies. Among these, structural cue, which characteristic DOM tree, widely utilized as primary factor models. In...
The present study meticulously investigates optimization strategies for real-time sign language recognition (SLR) employing the MediaPipe framework. We introduce an innovative multi-modal methodology, amalgamating four distinct Long Short-Term Memory (LSTM) models dedicated to processing skeletal coordinates ascertained from Rigorous evaluations were executed on esteemed datasets. Empirical findings underscore that approach significantly elevates accuracy of SLR model while preserving its...
Investigation of Lewis acid-base interactions has been conducted by ab initio calculations and Machine Learning (ML) models. This study aims to resolve two critical tasks that have not quantitatively investigated. First, ML models developed from Density Functional Theory (DFT) predict experimental BF3 affinity with Pearson correlation coefficients around 0.9 mean absolute errors 10 kJ mol-1. The are trained DFT-calculated more than 3000 adducts, input features readily obtained rdkit. Second,...
The change in optical properties of an organic semiconductors upon forming adducts with inexpensive small molecules is attractive electronics. We focus on the conjugated and Lewis acids (CM-LA), formed by partial electron transfer from a CM containing basic site to LA such as BF3 B(C6F5)3. resulting showed intriguing optoelectronic properties, including red-shift transitions increase charge carrier density compared parent molecules. In this work, we combine electronic structure modelling...