Results 11 to 20 of about 7,910 (205)

Math-Net Means Not Just a Page!

, 2003
In April 2002 the Executive Committee of the International Mathematical Union (IMU) endorsed a recommendation to install Math-Net Pages. The Math-Net Page for departments or research institutes is a web portal for mathematics departments and institutes that presents information in a standardized, well-structured, and easy-to-use format.
Dalitz, Wolfgang, Sperber, Wolfram, Neun, Winfried   +2 more
openaire   +1 more source

Sparse Cost Volume for Efficient Stereo Matching

Remote Sensing, 2018
Stereo matching has been solved as a supervised learning task with convolutional neural network (CNN). However, CNN based approaches basically require huge memory use. In addition, it is still challenging to find correct correspondences between images at
Chuanhua Lu, Hideaki Uchiyama, Diego Thomas, Atsushi Shimada, Rin-ichiro Taniguchi   +4 more
doaj   +1 more source

Task Assignment of the Improved Contract Net Protocol under a Multi-Agent System

Algorithms, 2019
Background: The existing contract net protocol has low overall efficiency during the bidding and release period, and a large amount of redundant information is generated during the negotiation process.
Jiarui Zhang, Gang Wang, Yafei Song
doaj   +1 more source

HaTU-Net: Harmonic Attention Network for Automated Ovarian Ultrasound Quantification in Assisted Pregnancy

Diagnostics, 2022
Antral follicle Count (AFC) is a non-invasive biomarker used to assess ovarian reserves through transvaginal ultrasound (TVUS) imaging. Antral follicles’ diameter is usually in the range of 2–10 mm.
Vivek Kumar Singh, Elham Yousef Kalafi, Eugene Cheah, Shuhang Wang, Jingchao Wang, Arinc Ozturk, Qian Li, Yonina C. Eldar, Anthony E. Samir, Viksit Kumar   +9 more
doaj   +1 more source

Deep Learning Architectures for Diagnosis of Diabetic Retinopathy

Applied Sciences, 2023
For many years, convolutional neural networks dominated the field of computer vision, not least in the medical field, where problems such as image segmentation were addressed by such networks as the U-Net.
Alberto Solano, Kevin N. Dietrich, Marcelino Martínez-Sober, Regino Barranquero-Cardeñosa, Jorge Vila-Tomás, Pablo Hernández-Cámara   +5 more
doaj   +1 more source

SSGAM-Net: A Hybrid Semi-Supervised and Supervised Network for Robust Semantic Segmentation Based on Drone LiDAR Data

Remote Sensing, 2023
The semantic segmentation of drone LiDAR data is important in intelligent industrial operation and maintenance. However, current methods are not effective in directly processing airborne true-color point clouds that contain geometric and color noise.
Hua Wu, Zhe Huang, Wanhao Zheng, Xiaojing Bai, Li Sun, Mengyang Pu   +5 more
doaj   +1 more source

G-Net Light: A Lightweight Modified Google Net for Retinal Vessel Segmentation

Photonics, 2022
In recent years, convolutional neural network architectures have become increasingly complex to achieve improved performance on well-known benchmark datasets.
Shahzaib Iqbal, Syed S. Naqvi, Haroon A. Khan, Ahsan Saadat, Tariq M. Khan   +4 more
doaj   +1 more source

Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline With Stone-Embedding Augmentation and Lesion-Size Reweighting Approach

IEEE Access, 2023
In this research, we proposed a two-stage pipeline for segmenting urinary stones. The first stage U-Net generated the map localizing the urinary organs in full abdominal x-ray images.
Wongsakorn Preedanan, Kenji Suzuki, Toshiaki Kondo, Masaki Kobayashi, Hajime Tanaka, Junichiro Ishioka, Yoh Matsuoka, Yasuhisa Fujii, Itsuo Kumazawa   +8 more
doaj   +1 more source

Contractile Work of the Soleus and Biarticular Mechanisms of the Gastrocnemii Muscles Increase the Net Ankle Mechanical Work at High Walking Speeds

Biology, 2023
Increasing walking speed is accompanied by an increase of the mechanical power and work performed at the ankle joint despite the decrease of the intrinsic muscle force potential of the soleus (Sol) and gastrocnemius medialis (GM) muscles.
Mohamadreza Kharazi, Christos Theodorakis, Falk Mersmann, Sebastian Bohm, Adamantios Arampatzis   +4 more
doaj   +1 more source

Beyond Measurement: Extracting Vegetation Height from High Resolution Imagery with Deep Learning

Remote Sensing, 2020
Measuring and monitoring the height of vegetation provides important insights into forest age and habitat quality. These are essential for the accuracy of applications that are highly reliant on up-to-date and accurate vegetation data. Current vegetation
David Radke, Daniel Radke, John Radke
doaj   +1 more source