Towards artificial intelligence-enabled extracellular vesicle precision drug delivery
Abstract Extracellular Vesicles (EVs), particularly exosomes, recently exploded into
nanomedicine as an emerging drug delivery approach due to their superior biocompatibility …
nanomedicine as an emerging drug delivery approach due to their superior biocompatibility …
A deep learning-based framework towards inverse green solvent design for extractive distillation with multi-index constraints
Abstracts Despite the popularity and efficiency of group contribution methods in computer-
aided molecular design applications, their accuracy is sometimes limited due to the inability …
aided molecular design applications, their accuracy is sometimes limited due to the inability …
An Explainable Artificial Intelligence Model Proposed for the Prediction of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and the Identification of Distinctive …
Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex
and debilitating illness with a significant global prevalence, affecting over 65 million …
and debilitating illness with a significant global prevalence, affecting over 65 million …
An interpretable 3D multi-hierarchical representation-based deep neural network for environmental, health and safety properties prediction of organic solvents
The interpretability and accuracy of deep-learning-based predictive models play a pivotal
role in accelerating computer-aided green product design considering environmental …
role in accelerating computer-aided green product design considering environmental …
A multiscale local–global feature fusion method for SAR image classification with Bayesian hyperparameter optimization algorithm
X Lian, X Huang, C Gao, G Ma, Y Wu, Y Gong… - Applied Sciences, 2023 - mdpi.com
In recent years, the advancement of deep learning technology has led to excellent
performance in synthetic aperture radar (SAR) automatic target recognition (ATR) …
performance in synthetic aperture radar (SAR) automatic target recognition (ATR) …
Multi-objective optimization strategy for green solvent design via a deep generative model learned from pre-set molecule pairs
Green solvent design is usually a multi-objective optimization problem that requires
identification of a set of solvent molecules to balance multiple, often trade-off, properties. At …
identification of a set of solvent molecules to balance multiple, often trade-off, properties. At …
Exploring pollutant joint effects in disease through interpretable machine learning
S Wang, T Zhang, Z Li, J Hong - Journal of Hazardous Materials, 2024 - Elsevier
Identifying the impact of pollutants on diseases is crucial. However, assessing the health
risks posed by the interplay of multiple pollutants is challenging. This study introduces the …
risks posed by the interplay of multiple pollutants is challenging. This study introduces the …
Exploring the application of machine‐learning techniques in the next generation of long‐term hydropower‐thermal scheduling
J Wang, M Yousefi, J Rajasekharan… - IET Renewable …, 2024 - Wiley Online Library
This paper introduces a shape‐based inflow scenarios reduction framework applied in long‐
term hydro‐thermal scheduling. This scheduling problem involves strategically managing …
term hydro‐thermal scheduling. This scheduling problem involves strategically managing …
[HTML][HTML] Automated Machine Learning Methodology for Optimizing Production Processes in Small and Medium-Sized Enterprises
Abstract Machine learning can be effectively used to generate models capable of
representing the dynamic of production processes of small and medium-sized enterprises …
representing the dynamic of production processes of small and medium-sized enterprises …
Accelerating factor Xa inhibitor discovery with a de novo drug design pipeline
Small-molecule drugs are essential for maintaining human health. The objective of this study
is to identify a molecule that can inhibit the Factor Xa protein and be easily procured. An …
is to identify a molecule that can inhibit the Factor Xa protein and be easily procured. An …