Results 11 to 20 of about 117,586 (158)

Monitoring the lactation-related behaviors of sows and their piglets in farrowing crates using deep learning

Frontiers in Animal Science
Pig farming is a major sector of livestock production. The preweaning stage is a critical period in the pig farming process, where lactation-related behaviors between sows and their piglets directly influence the preweaning survivability of the piglets ...
Yu-Jung Tsai, Yi-Che Huang, En-Chung Lin, Sheng-Chieh Lai, Xu-Chu Hong, Jonas Tsai, Cheng-En Chiang, Yan-Fu Kuo   +7 more
doaj   +1 more source

Machine Learning, Machine Vision, and the Brain.

AI Mag., 1999
The problem of learning is arguably at the very core of the problem of intelligence, both biological and artificial. In this article, we review our work over the last 10 years in the area of supervised learning, focusing on three interlinked directions of research -- (1) theory, (2) engineering applications (making intelligent software), and (3 ...
Poggio, Tomaso, Shelton, Christian R.
openaire   +2 more sources

MVM-IOD: An Industrial Object-Centric Benchmark Dataset for the Evaluation of 3D Reconstruction Methods [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
3D object reconstruction, and camera pose estimation in industrial applications are challenging tasks, as errors are costly while the computation time is often limited. The complexity of typical industrial objects further complicates these tasks. Most of
R. Langendörfer, M. Hillemann, M. Ulrich   +2 more
doaj   +1 more source

Fast Convolutional Method for Automatic Sleep Stage Classification [PDF]

Healthcare Informatics Research, 2018
ObjectivesPolysomnography is essential to diagnose sleep disorders. It is used to identify a patient's sleep pattern during sleep. This pattern is obtained by a doctor or health practitioner by using a scoring process, which is time consuming.
Intan Nurma Yulita, Mohamad Ivan Fanany, Aniati Murni Arymurthy   +2 more
doaj   +1 more source

Improving Robustness of Biometric Identity Determination with Digital Watermarking

Journal of Electrical and Computer Engineering, 2016
The determination of an identity from noisy biometric measurements is a continuing challenge. In many applications, such as identity-based encryption, the identity needs to be known with virtually 100% certainty. The determination of identities with such
Juha Partala, Angelos Fylakis, Anu Pramila, Anja Keskinarkaus, Tapio Seppänen   +4 more
doaj   +1 more source

High-resolution thermal infrared dataset for airborne person detection in SAR missions

Scientific Data
The utilization of uncrewed aerial vehicles (UAVs) in search and rescue (SAR) operations has become increasingly prevalent because the deployment of UAVs is expected to facilitate a higher degree of operational flexibility while simultaneously reducing ...
Johannes Büttner, Kilian Führer, Andreas Fritz, Jonathan Zender, Bernd R. Pinzer   +4 more
doaj   +1 more source

MIFH: A Machine Intelligence Framework for Heart Disease Diagnosis

IEEE Access, 2020
Cardiovascular disease tops the list among all major causes of deaths worldwide. Though, prognostication and in-time diagnosis can help in reducing the mortality rate as well as increases the survival rate of patients.
Ankur Gupta, Rahul Kumar, Harkirat Singh Arora, Balasubramanian Raman   +3 more
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Vison-Based 3D Shape Measurement System for Transparent Microdefect Characterization

IEEE Access, 2019
The main task of vision-based industrial defect inspection is to implement efficient non-contact visual quality control, i.e., to detect if there is a defect and to achieve an accurate 3D shape measurement of such a defect, and this kind of vision defect
Yuanlong Deng, Xizhou Pan, Xingzheng Wang, Xiaopin Zhong   +3 more
doaj   +1 more source

Dynamic Partition Gaussian Crack Detection Algorithm Based on Projection Curve Distribution

Sensors, 2020
When detecting the cracks in the tunnel lining image, due to uneven illumination, there are generally differences in brightness and contrast between the cracked pixels and the surrounding background pixels as well as differences in the widths of the ...
Dan Xue, Weiqi Yuan
doaj   +1 more source

Fusing feature consistency across views for multi-view stereo

Complex & Intelligent Systems
Dense feature matching is of significant importance in the learning-based multi-view stereo (MVS) pipeline. Feature consistency across views is a key factor affecting feature matching and plays a crucial role in the reconstruction of objects by the ...
Rong Zhao, Caiqin Jia, Xindong Guo, Xiaowen Yang, Huiyan Han, Xie Han   +5 more
doaj   +1 more source