Results 31 to 40 of about 17,720 (202)

Identification of Foliar Disease Regions on Corn Leaves Using SLIC Segmentation and Deep Learning Under Uniform Background and Field Conditions

IEEE Access, 2022
Plant diseases lead to severe losses in crop yield worldwide. The conventional approach for diagnosing diseases relies on manual scouting. In recent years, advances in convolutional neural networks have motivated the use of deep learning-based computer ...
Hieu Phan, Aanis Ahmad, Dharmendra Saraswat   +2 more
doaj   +1 more source

Mining structured Petri nets for the visualization of process behavior [PDF]

, 2016
Visualization is essential for understanding the models obtained by process mining. Clear and efficient visual representations make the embedded information more accessible and analyzable. This work presents a novel approach for generating process models
Adriansyah A., Appice A., Carmona J., Cortadella J., Fahland D., Mendling J., Pedro J. De San   +6 more
core   +1 more source

Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2021
12 pages, 14 figures. This paper has been accepted as a Transactions Paper for publication by IEEE Transactions on Circuits and Systems for Video ...
Chong Wu, Jiangbin Zheng, Zhenan Feng, Houwang Zhang, Le Zhang, Jiawang Cao, Hong Yan   +6 more
openaire   +2 more sources

Discriminating crops/weeds in an upland rice field from UAV images with the SLIC-RF algorithm

Plant Production Science, 2020
In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest (RF)
Kensuke Kawamura, Hidetoshi Asai, Taisuke Yasuda, Pheunphit Soisouvanh, Sengthong Phongchanmixay   +4 more
doaj   +1 more source

Preparation of Nuclear Spin Singlet States Using Spin-Lock Induced Crossing [PDF]

, 2013
We introduce a broadly applicable technique to create nuclear spin singlet states in organic molecules and other many-atom systems. We employ a novel pulse sequence to produce a spin-lock induced crossing (SLIC) of the spin singlet and triplet energy ...
Devience, Stephen J, Rosen, Matthew Scot, Walsworth, Ronald Lee   +2 more
core   +2 more sources

Zero watermarking scheme for privacy protection in e-Health care

Automatika, 2023
E-health care is an emerging field where health services and information are delivered and offered over the Internet. So the health information of the patients communicated over the Internet has to protect the privacy of the patients.
Ayesha Shaik, V. Masilamani
doaj   +1 more source

Collaboration in electronic resource provision in university libraries: SHEDL, a Scottish case study [PDF]

, 2009
This case study examines the growth of collaboration among Scottish higher education institutions. Following a summary of the work of the Scottish Confederation of University and Research Libraries (SCURL), more detailed information is provided on ...
Cannell Sheila, Gallivan Bernard, Hakli Esko, McLelland John F., Nicholson Catherine M., Rawls Marion, Stange Kari, Tony Kidd, Usher Janet E., Winch Stephen   +9 more
core   +1 more source

SliC is a surface-displayed lipoprotein that is required for the anti-lysozyme strategy during Neisseria gonorrhoeae infection.

PLoS Pathogens, 2018
Lysozymes are nearly omnipresent as the first line of immune defense against microbes in animals. They exert bactericidal action through antimicrobial peptide activity and peptidoglycan hydrolysis.
Ryszard A Zielke, Adriana Le Van, Benjamin I Baarda, Marco F Herrera, Christopher J Acosta, Ann E Jerse, Aleksandra E Sikora   +6 more
doaj   +1 more source

Knowledge Integration in Steel Microstructure Analysis Using Unsupervised Image Segmentation and Supervised Machine Learning Techniques

Applied Sciences
This study presents a methodology for analyzing bainitic microstructures in steel using image segmentation techniques and machine learning methods. Images of steel microstructures were processed using a superpixel segmentation algorithm, which generated ...
Tomasz Jażdżewski, Filip Hallo, Grzegorz Korpała, Krzysztof Regulski   +3 more
doaj   +1 more source

Comparative Studies of Region-Based Segmentation Algorithms on Natural and Remote Sensing Images [PDF]

ITM Web of Conferences
Region-based segmentation algorithms are used as a preprocessing approach to generate over-segmented regions. Over-segmented regions refer to the creation of small regions in an image that represent no meaningful object regions. It has been observed that
Shoaib Asim, Vadiveloo Mogana, Lim Seng Poh   +2 more
doaj   +1 more source