Results 71 to 80 of about 166,051 (304)

A Deep Learning Framework for Detecting Cross-Generational Facial Markers Associated with Stress in Pigs

Agriculture
Maternal stress during gestation can alter offspring physiology, behaviour, and immune function. In pigs, such ‘prenatal stress’ is known to increase stress sensitivity, but the potential to automatically detect such sensitivity has remained unexplored ...
Syed U. Yunas, Ajmal Shahbaz, Emma M. Baxter, Kenneth M. D. Rutherford, Mark F. Hansen, Melvyn L. Smith, Lyndon N. Smith   +6 more
doaj   +1 more source

Variational Conditioning of Deep Recurrent Networks for Modeling Complex Motion Dynamics

IEEE Access, 2020
This work introduces stochastic models to address the problem of complex motion generation. Long-term motion generation is the primary task in several fields; however, less work has happened in this direction and is restricted to single-person activities.
Himanshu Buckchash, Balasubramanian Raman   +1 more
doaj   +1 more source

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

Advanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee, Gunhyoung Kim, Dongho Lee, Seowoo Son, Hyunho Seok, Sihoon Son, Hyunbin Choi, Geonwook Kim, Geumji Back, Hyunkyu Kim, Chaerin Park, Junmin Ahn, Seongyun Je, Chaeyoung Im, Junil Cho, Magdalena Grzeszczyk, Seongho Kim, Eunseo Go, Hyunwoo Shim, Donghwan Choi, Muyoung Kim, Hyoeng‐U. Kim, Won‐Jun Jang, Taesung Kim   +23 more
wiley   +1 more source

A novel system for automated continuous on-farm assessment of digital dermatitis using artificial intelligence

Smart Agricultural Technology
Digital dermatitis (DD) is a major cause of lameness in cattle, significantly affecting animal well-being and reducing productivity across the dairy industry.
Ajmal Shahbaz, Wenhao Zhang, Melvyn Smith   +2 more
doaj   +1 more source

Machine vision toolbox for MATLAB, release 3 [Software]

, 2011
The Toolbox, combined with MATLAB ® and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms.
Corke, Peter
core  

Simultaneous localization and map-building using active vision [PDF]

, 2002
An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable long-term ...
D.W. Murray, Davison, A J, Murray, D W, Murray, David, Davison, AJ, A.J. Davison   +5 more
core   +1 more source

A 3D‐Printed Blister Test Platform for Quantifying Biointerface Adhesion Mechanisms

Advanced Materials Interfaces, EarlyView.
A 3D‐printed blister platform enables energy‐resolved characterization of soft hydrogel–rigid interfaces. Integrating precision pressure control with hyperelastic modeling directly quantifies adhesion energy (G) and R‐curve toughening. Results reveal that modulating hydrogel concentration and surface roughness drives a tunable transition from cohesive ...
Yoontae Kim, Rahul Patil, Argyris K. Lazaris, Xinran Zhang, Stella Alimperti   +4 more
wiley   +1 more source

Transfer learning based approach for reliable handwritten signature verification with SignaLearn

Discover Artificial Intelligence
Handwritten signatures are considered unique for a person’s identity and hence are used as a prevalent method of identification in banking, business, financial settings, legal documents, etc.
Himanshu Kumar Pathak, Unnati Chaurasia, Rashmi Rathi Upadhyay, Koushlendra Kumar Singh, Ahmet Kaplan   +4 more
doaj   +1 more source

Mechatronics and machine vision 2005

, 2005
Proceedings of the 12th Annual Conference on Mechatronics and Machine Vision in Practice, Manila, Philippines, 29 Nov - 1 Dec ...

core  

Online learning and partitioning of linear displacement predictors for tracking

, 2008
A novel approach to learning and tracking arbitrary image features is presented. Tracking is tackled by learning the mapping from image inten-sity differences to displacements. Linear regression is used, resulting in low computational cost. An appearance
Matas, J, L. Ellis, J.G. Matas, Ellis, L, Bowden, R, Liam Ellis, R. Bowden, Richard Bowden, Jiri Matas   +8 more
core   +1 more source