imove产品(i5ting/imove)

INACTIVE: Move your mouse, generate code from flow chart

TypeScriptMIT★ 3.7K
joeynmt产品(joeynmt/joeynmt)

Minimalist NMT for educational purposes

PythonApache-2.0★ 710
Diffusion Models: A Comprehensive Survey of Methods and Applications论文
ACM Computing Surveys2023引用: 1.4K
Global Challenges to Public Health Care Systems during the COVID-19 Pandemic: A Review of Pandemic Measures and Problems论文
Journal of Personalized Medicine2022引用: 739
Evaluation of synergism in drug combinations and reference models for future orientations in oncology论文
Current Research in Pharmacology and Drug Discovery2022引用: 297
A review on COVID-19 forecasting models论文
Neural Computing and Applications2021引用: 252
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Procedia Computer Science2021引用: 224
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells论文
Chaos Solitons & Fractals2021引用: 240
The epidemiological impact of the NHS COVID-19 app论文
Nature2021引用: 296
Non-pharmaceutical interventions during the COVID-19 pandemic: A review论文
Physics Reports2021引用: 512
Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study论文
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Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes: A Set of Global Estimates论文
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Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron论文
Computational and Mathematical Methods in Medicine2020引用: 219
Forecasting of COVID19 per regions using ARIMA models and polynomial functions论文
Applied Soft Computing2020引用: 228
SARS-CoV-2 seroprevalence and transmission risk factors among high-risk close contacts: a retrospective cohort study论文
The Lancet Infectious Diseases2020引用: 238
Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak论文
Dialnet (Universidad de la Rioja)2020引用: 229
Anonymity Preserving IoT-Based COVID-19 and Other Infectious Disease Contact Tracing Model论文
IEEE Access2020引用: 224
Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction论文
Institutional Repository of the University of Granada (University of Granada)2020引用: 232
Digital contact tracing technologies in epidemics: a rapid review论文
Cochrane Database of Systematic Reviews2020引用: 227
Prediction of epidemic trends in COVID-19 with logistic model and machine learning technics论文
Chaos Solitons & Fractals2020引用: 337

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