Applying pareto ant colony optimization to solve bi-objective forest transportation planning problems. - Pengpeng Lin; Jun Zhang 001; Marco A. Contreras (IRI, 2014)

Automatically configuring ACO using multilevel ParamILS to solve transportation planning problems with underlying weighted networks. - Pengpeng Lin; Jun Zhang 001; Marco A. Contreras (Swarm Evol. Comput., 2015)

A robust approach for tree segmentation in deciduous forests using small-footprint airborne LiDAR data. - Hamid Hamraz; Marco A. Contreras; Jun Zhang 001 (Int. J. Appl. Earth Obs. Geoinformation, 2016)

A multilevel ACO approach for solving forest transportation planning problems with environmental constraints. - Pengpeng Lin; Marco A. Contreras; Ruxin Dai; Jun Zhang 001 (Swarm Evol. Comput., 2016)

Combining ant colony optimization with 1-opt local search method for solving constrained forest transportation planning problems. - Pengpeng Lin; Ruxin Dai; Marco A. Contreras; Jun Zhang 001 (Artif. Intell. Res., 2017)

Multi-camera surveillance systems for time and motion studies of timber harvesting equipment. - Marco A. Contreras; Rafael Freitas; Lucas Ribeiro; Jeffrey Stringer; Chase Clark (Comput. Electron. Agric., 2017)

Remote sensing of forests using discrete return airborne LiDAR. - Hamid Hamraz; Marco A. Contreras (CoRR, 2017)

Tree segmentation in multi-story stands within small-footprint airborne LiDAR data. - Hamid Hamraz; Marco A. Contreras; Jun Zhang 001 (CoRR, 2017)

Forest understory trees revealed using sufficiently dense airborne laser scanning point clouds. - Hamid Hamraz; Marco A. Contreras; Jun Zhang 001 (CoRR, 2017)

A scalable approach for tree segmentation within small-footprint airborne LiDAR data. - Hamid Hamraz; Marco A. Contreras; Jun Zhang 001 (Comput. Geosci., 2017)

Deep learning for conifer/deciduous classification of airborne LiDAR 3D point clouds representing individual trees. - Hamid Hamraz; Nathan B. Jacobs; Marco A. Contreras; Chase H. Clark (CoRR, 2018)