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DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling.

, , , , , , и . KES, том 159 из Procedia Computer Science, стр. 97-106. Elsevier, (2019)

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Vlad Manilici

Flow-based routing in community networks. TU Berlin, (2009)

Julia Vlad

Vlad Rojanschi

Claudia Ionescu

Vlad Giurgea

 

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DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes., , и . KES, том 192 из Procedia Computer Science, стр. 622-631. Elsevier, (2021)An approach to software development effort estimation using machine learning.. ICCP, стр. 197-203. IEEE, (2017)Instance based learning approaches for predicting the height of human skeletons., , , и . ICCP, стр. 309-316. IEEE, (2015)DynFloR: A Flow Approach for Data Delivery Optimization in Multi-Robot Network Patrolling., , , , , , и . KES, том 159 из Procedia Computer Science, стр. 97-106. Elsevier, (2019)ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery., , , , , и . KES, том 225 из Procedia Computer Science, стр. 298-307. Elsevier, (2023)Machine learning techniques for age at death estimation from long bone lengths., , и . SACI, стр. 457-462. IEEE, (2016)Supervised Learning Techniques for Body Mass Estimation in Bioarchaeology., , и . SOFA (2), том 634 из Advances in Intelligent Systems and Computing, стр. 71-86. Springer, (2016)XNow: A deep learning technique for nowcasting based on radar products' values prediction., , , и . SACI, стр. 117-122. IEEE, (2020)