Showing items with similar title or keywords.

• Time-Dependent Multiple Depot Vehicle Routing Problem on Megapolis Network under Wardrop's Traffic Flow Assignment 

  Mugayskikh, Alexander V.; Zakharov, Victor V.; Tuovinen, Tero (IEEE, 2018)

  In this work multiple depot vehicle routing problem is considered in case of variable travel times between nodes on a metropolis network. This variant of the classic multiple depot vehicle routing problem is motivated ...

• Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks 

  Hakala, Taina; Pölönen, Ilkka; Honkavaara, Eija; Näsi, Roope; Hakala, Teemu; Lindfors, Antti (Springer, 2020)

  In near future it is assumable that automated unmanned aerial platforms are coming more common. There are visions that transportation of different goods would be done with large planes, which can handle over 1000 kg payloads. ...

• Deep learning in gait analysis : the effect of marker presence in neural network training to kinematic outcomes 

  Uitto, Roope (2021)

  Ihmisen tuottaman liikkeen määrittämiseen käytetään yleensä optoelektronisia liikkeenkaappausjärjestelmiä, jotka perustuvat kohteen iholle kiinnitettävien valoa heijastavien markkerien seurantaan. Nämä laboratorio-olosuhteissa ...

• Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network 

  Annala, Leevi; Neittaanmäki, Noora; Paoli, John; Zaar, Oscar; Pölönen, Ilkka (IEEE, 2020)

  In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural ...

• Tree species classification of drone hyperspectral and RGB imagery with deep learning convolutional neural networks 

  Nezami, Somayeh; Khoramshahi, Ehsan; Nevalainen, Olli; Pölönen, Ilkka; Honkavaara, Eija (MDPI AG, 2020)

  Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include ...