Results 21 to 30 of about 2,733 (176)

A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]

open access: yesZhihui kongzhi yu fangzhen, 2023
Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
doaj   +1 more source

Optimizing T4 DNA polymerase conditions enhances the efficiency of one-step sequence- and ligation-independent cloning

open access: yesBioTechniques, 2017
Previously, we developed a one-step sequence- and ligation-independent cloning (SLIC) method that is simple, fast, and cost-effective. However, although one-step SLIC generally works well, its cloning efficiency is occasionally poor, potentially due to ...
Mohammad Nazrul Islam   +6 more
doaj   +1 more source

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

open access: yesPlant 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   +4 more
doaj   +1 more source

Seamless Insert-Plasmid Assembly at High Efficiency and Low Cost. [PDF]

open access: yesPLoS ONE, 2016
Seamless cloning methods, such as co-transformation cloning, sequence- and ligation-independent cloning (SLIC) or the Gibson assembly, are essential tools for the precise construction of plasmids.
Roger M Benoit   +5 more
doaj   +1 more source

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

open access: yesApplied 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   +3 more
doaj   +1 more source

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

open access: yesITM 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   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

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

open access: yesPLoS 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   +6 more
doaj   +1 more source

Predictive Ability and Clinical Utility of the SLIC Score for Surgical Decision-Making in Sub Axial Cervical Spine Injuries: A Secondary Data Analysis

open access: yesNational Board of Examinations Journal of Medical Sciences
Introduction: Sub axial cervical spine injuries (C3–C7) are a major cause of spinal trauma, often resulting from road traffic accidents. The Sub axial Injury Classification (SLIC) system provides a standardized framework for management based on injury ...
V Sureshkumar, M. Makesh Kumar
doaj   +1 more source

An Industrial Micro-Defect Diagnosis System via Intelligent Segmentation Region

open access: yesSensors, 2019
In the field of machine vision defect detection for a micro workpiece, it is very important to make the neural network realize the integrity of the mask in analyte segmentation regions. In the process of the recognition of small workpieces, fatal defects
Xia Fang, Wang Jie, Tao Feng
doaj   +1 more source

Home - About - Disclaimer - Privacy