Heterogeneous Architecture of Neural Networks in Vitro with Precise Unidirectional Synaptic Connectivity. - Yana I. Pigareva; Anton Sergeevich Bukatin; Victor B. Kazantsev; Arseniy Gladkov; Vladimir Kolpakov; Alexey S. Pimashkin; Oxana Antipova; Irina Mukhina (DeSE, 2019)

Accurate body measurement of live cattle using three depth cameras and non-rigid 3-D shape recovery. - Alexey N. Ruchay; Vitaly Kober; Konstantin A. Dorofeev; Vladimir Kolpakov; Sergei Miroshnikov (Comput. Electron. Agric., 2020)

Comparative analysis of machine learning algorithms for predicting live weight of Hereford cows. - Alexey N. Ruchay; Vitaly Kober; Konstantin A. Dorofeev; Vladimir Kolpakov; Kinispay Dzhulamanov; Vsevolod Kalschikov; Hao Guo 005 (Comput. Electron. Agric., 2022)

Automatic method for quantitatively analyzing the body condition of livestock from 3D shape. - Jialong Zhang 002; Jie Lei; Jianhuan Wu; Hexiao Lu; Hao Guo 005; Andrea Pezzuolo; Vladimir Kolpakov; Alexey N. Ruchay (Comput. Electron. Agric., 2023)

On-barn cattle facial recognition using deep transfer learning and data augmentation. - Alexey N. Ruchay; Vladimir Kolpakov; Hao Guo 005; Andrea Pezzuolo (Comput. Electron. Agric., 2024)

Ultrasound and optical measurement data fusion for assessing the morphological traits and weight of Aberdeen Angus cattle. - Alexey N. Ruchay; Vladimir Kolpakov; Nikolay Gerasimov; Vitali Ryazanov; Stanislav Platonov; Hao Guo 005; Andrea Pezzuolo (Comput. Electron. Agric., 2025)