Nest excavators’ learning walks in the Australian desert ant Melophorus bagoti
The Australian red honey ant, Melophorus bagoti, stands out as the most thermophilic ant in Australia, engaging in all outdoor activities during the hottest periods of the day during summer months.
Sudhakar Deeti +2 more
doaj +1 more source
Understanding the role of distance, direction and cue salience in an associative model of landmark learning. [PDF]
Commins S, Fey D, Fey D.
europepmc +1 more source
Early foraging life: spatial and temporal aspects of landmark learning in the ant Cataglyphis noda. [PDF]
Fleischmann PN, Rössler W, Wehner R.
europepmc +1 more source
Multi-Modal Multi-Stage Multi-Task Learning for Occlusion-Aware Facial Landmark Localisation
Thermal facial imaging enables non-contact measurements of face heat patterns that are valuable for healthcare and affective computing, but common occluders (glasses, masks, scarves) and the single-channel, texture-poor nature of thermal frames make ...
Yean Chun Ng +5 more
doaj +1 more source
Landmark learning by the Ozark zigzag salamander Plethodon angusticlavius
Although salamanders have been shown to respond to classical conditioning, spatial learning has been largely unstudied. We tested whether salamanders could learn to locate foraging areas by using landmarks.
Adam L. CRANE, Alicia MATHIS
doaj
Can classification strategies improve automated cervical vertebral maturation staging? A comparative study. [PDF]
Lee SY, Ryu J, Kim YH, Lee YS, Jung SK.
europepmc +1 more source
Development of a Deep Learning Model to Automatically Identify Palatal Landmarks on Three-Dimensional Maxillary Dental Casts. [PDF]
Giri J +6 more
europepmc +1 more source
Optimized facial landmark modeling with medical aesthetic constraints by a multi-objective genetic algorithm. [PDF]
Ye Y, Yan G, Wen D, Tan M.
europepmc +1 more source
A Fully Automated Deep Learning Pipeline for Anatomical Landmark Localization on Three-Dimensional Pelvic Surface Scans. [PDF]
Choi W, Jang JS.
europepmc +1 more source
Retraction Note: Multimodal deep learning for cephalometric landmark detection and treatment prediction. [PDF]
Gao F, Tang Y.
europepmc +1 more source

