Paavo Nevalainen

Estimating the prediction performance of spatial models via spatial k-fold cross validation

Jonne Pohjankukka, Tapio Pahikkala, Paavo Nevalainen et al. · International Journal of Geographical Information Systems · 2017 · 188 citations · Full text

Computing, Geoinformatics, Machine Learning +15

Edge and Fog Computing Enabled AI for IoT-An Overview

Zhuo Zou, Yi Jin, Paavo Nevalainen et al. · 2019 · 83 citations

Computing, Autonomous Systems, Computer Science +17

Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation

Qingqing Li, Paavo Nevalainen, Jorge Peña Queralta et al. · Remote Sensing · 2020 · 63 citations · Full text

Computing, Autonomous Systems, Forestry +17

Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology

Aura Salmivaara, Samuli Launiainen, Jari Perttunen et al. · Forestry An International Journal of Forest Research · 2020 · 47 citations

Natural Resources, Forestry, Hydrology +15

Wheel rut measurements by forest machine-mounted LiDAR sensors – accuracy and potential for operational applications?

Aura Salmivaara, Mikko Miettinen, Leena Finér et al. · International Journal of Forest Engineering · 2018 · 42 citations · Full text

Natural Resources, Forestry, Forest Management +13