Search Results - "Mo, Hanlin"

Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features.

Authors: Li, Enze Wang, Qibiao Zhang, Jinzhao et al.

Source: Applied Sciences (2076-3417); Dec2023, Vol. 13 Issue 23, p12645, 14p

Grouping environmental factors influencing individual decision‐making behavior in software projects: A cluster analysis.

Authors: Jia, Jingdong Mo, Hanlin Capretz, Luiz Fernando et al.

Source: Journal of Software: Evolution & Process; Jan2018, Vol. 30 Issue 1, p1-1, 15p

The integration of machine learning into proteomics advances food authentication and adulteration control.

Authors: Li, Hongfei Mo, Hanlin Song, Yu-Chen et al.

Source: Trends in Food Science & Technology. Jul2025, Vol. 161, pN.PAG-N.PAG. 1p.

Subjects: Food adulteration, Food chemistry, Food science, Food safety, Machine learning, Adulterations

Fast and efficient calculations of structural invariants of chirality.

Authors: Zhang, He Mo, Hanlin Hao, You et al.

Source: Pattern Recognition Letters. Dec2019, Vol. 128, p270-277. 8p.

Subjects: Chirality, Generating functions, Mathematical invariants, Chirality of nuclear particles, Symmetry

Image Projective Invariants.

Authors: Li, Erbo Mo, Hanlin Xu, Dong et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. May2019, Vol. 41 Issue 5, p1144-1157. 14p.

Subjects: Differential invariants, Image processing, Chemical reactions, Nanoparticles, Numerical analysis

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network.

Authors: Mo, Hanlin Zhao, Guoying

Source: Pattern Recognition. Feb2024, Vol. 146, pN.PAG-N.PAG. 1p.

Subjects: Convolutional neural networks, Image recognition (Computer vision), Data augmentation, Remote sensing

Naturally combined shape-color moment invariants under affine transformations.

Authors: Gong, Ming Hao, You Mo, Hanlin et al.

Source: Computer Vision & Image Understanding; Sep2017, Vol. 162, p46-56, 11p

Geometric moment invariants to spatial transform and N-fold symmetric blur.

Authors: Mo, Hanlin Hao, Hongxiang Li, Hua

Source: Pattern Recognition. Jul2021, Vol. 115, pN.PAG-N.PAG. 1p.

Subjects: Rotational symmetry, Image retrieval