1 |
Effect of Concentration of Organic Chemicals on Their Biodegradation by Natural Microbial Communities |
미소장 |
2 |
Application of molecular topology to quantitative structure‐biodegradability relationships |
미소장 |
3 |
SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules |
미소장 |
4 |
Estimation of the size of drug-like chemical space based on GDB-17 data |
미소장 |
5 |
Synthesis and characterization of novel biodegradable poly(carbonate‐co‐phosphate)s |
미소장 |
6 |
Identification of biodegradation models under model and data uncertainty |
미소장 |
7 |
Design of experiments and focused grid search for neural network parameter optimization |
미소장 |
8 |
Classification of biodegradable materials using QSAR modelling with uncertainty estimation |
미소장 |
9 |
Molecular de-novo design through deep reinforcement learning |
미소장 |
10 |
Malware classification with LSTM and GRU language models and a character-level CNN |
미소장 |
11 |
Closing the Circle: Reshaping How Products are Conceived & Made |
미소장 |
12 |
A quantitative structure-biodegradation relationship (QSBR) approach to predict biodegradation rates of aromatic chemicals |
미소장 |
13 |
Development of NOx reduction system utilizing artificial neural network (ANN) and genetic algorithm (GA) |
미소장 |
14 |
Modelling and Optimizing Pyrene Removal from the Soil by Phytoremediation using Response Surface Methodology, Artificial Neural Networks, and Genetic Algorithm |
미소장 |
15 |
Modelling of ready biodegradability based on combined public and industrial data sources |
미소장 |
16 |
LSTM based encoder-decoder for short-term predictions of gas concentration using multi-sensor fusion |
미소장 |
17 |
A Comparison of Transformer and LSTM Encoder Decoder Models for ASR |
미소장 |
18 |
Improvement and Application of Multi-layer LSTM Algorithm Based on Spatial-Temporal Correlation |
미소장 |
19 |
Development of models predicting biodegradation rate rating with multiple linear regression and support vector machine algorithms |
미소장 |
20 |
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction |
미소장 |
21 |
SMILES-based deep generative scaffold decorator for de-novo drug design |
미소장 |
22 |
Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning |
미소장 |
23 |
Deep reinforcement learning for de novo drug design |
미소장 |
24 |
Optimization of Molecules via Deep Reinforcement Learning |
미소장 |
25 |
A unified framework for the mathematical modelling, predictive analysis, and optimization of reaction systems using computational fluid dynamics, deep neural network and genetic algorithm: A case of butadiene synthesis |
미소장 |
26 |
UMAP and LSTM based fire status and explosibility prediction for sealed-off area in underground coal mine |
미소장 |
27 |
Challenges and new opportunities on barrier performance of biodegradable polymers for sustainable packaging |
미소장 |
28 |
A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation |
미소장 |
29 |
Chaogate Parameter Optimization using Bayesian Optimization and Genetic Algorithm |
미소장 |
30 |
Attention-based generative models for de novo molecular design |
미소장 |
31 |
Hybrid CNN-LSTM and IoT-based coal mine hazards monitoring and prediction system |
미소장 |
32 |
Deep learning for predictions of hydrolysis rates and conditional molecular design of esters |
미소장 |
33 |
Hyperparameter Optimization: Comparing Genetic Algorithm against Grid Search and Bayesian Optimization |
미소장 |
34 |
Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification |
미소장 |
35 |
t-SNE and variational auto-encoder with a bi-LSTM neural network-based model for prediction of gas concentration in a sealed-off area of underground coal mines |
미소장 |
36 |
Software platform for high-fidelity-data-based artificial neural network modeling and process optimization in chemical engineering |
미소장 |
37 |
Generative models for molecular discovery: Recent advances and challenges |
미소장 |
38 |
Test No. 301: Ready Biodegradability |
미소장 |
39 |
On the Relationship between Classical Grid Search and Probabilistic Roadmaps |
미소장 |
40 |
Gas Concentration Prediction Based on IWOA-LSTM-CEEMDAN Residual Correction Model |
미소장 |
41 |
RELATION: A Deep Generative Model for Structure-Based De Novo Drug Design |
미소장 |
42 |
An attention-based domain spatial-temporal meta-learning (ADST-ML) approach for PM2.5 concentration dynamics prediction |
미소장 |
43 |
Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process |
미소장 |
44 |
Directive 2004/38/EC of the European Parliament and of the Council of 29 April 2004 |
미소장 |
45 |
Grid search hyperparameter tuning in additive manufacturing processes |
미소장 |
46 |
Transformers Versus LSTMs for Electronic Trading |
미소장 |