Results 111 to 120 of about 189,815 (388)

Environmental target image recognition of coal mine rescue robot

open access: yesGong-kuang zidonghua, 2017
In view of problems that traditional scale-invariant feature transform(SIFT) algorithm has calculation redundancy in searching key points of vision images and poor real-time performance in target recognition, an improved SIFT algorithm was proposed which
GONG Gu, ZHU Hua
doaj   +1 more source

Predicting Self-Interacting Proteins Using a Recurrent Neural Network and Protein Evolutionary Information

open access: yesEvolutionary Bioinformatics, 2020
Self-interacting proteins (SIPs) play crucial roles in biological activities of organisms. Many high-throughput methods can be used to identify SIPs. However, these methods are both time-consuming and expensive.
Ji-Yong An   +3 more
doaj   +1 more source

Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition

open access: yes, 2010
This paper presents a robust and dynamic face recognition technique based on the extraction and matching of devised probabilistic graphs drawn on SIFT features related to independent face areas.
D. Lowe   +5 more
core   +1 more source

Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications

open access: yesAdvanced Functional Materials, EarlyView.
This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo   +4 more
wiley   +1 more source

The Frontiers of Aqueous Zinc–Iodine Batteries: A Comprehensive Review on Mechanisms, Optimization, and Industrial Prospects

open access: yesAdvanced Functional Materials, EarlyView.
This review provides an in‐depth understanding of all theoretical reaction mechanisms to date concerning zinc–iodine batteries. It revisits the inherent issues and solutions of zinc–iodine batteries from the perspective of industrial application. By integrating existing examples of energy storage applications, it identifies the challenges faced on the ...
Haokun Wen   +10 more
wiley   +1 more source

Face Identification by SIFT-based Complete Graph Topology [PDF]

open access: yesarXiv, 2010
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully used for general object detection and recognition, only recently they were applied to face recognition.
arxiv  

Automatic thresholding of SIFT descriptors [PDF]

open access: yes2016 IEEE International Conference on Image Processing (ICIP), 2016
In the proceedings of the 2016 IEEE International Conference on Image Processing (ICIP), pp.
openaire   +3 more sources

An assessment of the real-time application capabilities of the SIFT computer system [PDF]

open access: yes
The real-time capabilities of the SIFT computer system, a highly reliable multicomputer architecture developed to support the flight controls of a relaxed static stability aircraft, are discussed.
Butler, R. W.
core   +1 more source

Single Atom‐Particle Tandem Catalysis Enables Enhanced Desolvation Kinetics for Low‐Temperature Li‐S Batteries

open access: yesAdvanced Functional Materials, EarlyView.
In this work, the tandem catalyst consisted of single Fe atom and Fe3C nanoparticles on porous carbon sheet is initially proposed and developed to facilitate the dissociation of Li(solvent)x+ to release more isolated Li+ to participate in the subsequent polysulfide redox conversions by decreasing the related barriers, contributing to fast kinetics of ...
Yuhang Lin   +12 more
wiley   +1 more source

A unified data flow model for fault tolerant computers [PDF]

open access: yes
The Dataflow Simulation System (DFSS) at USL was used as the medium on which a functional simulaton of sIFT was produced. DFSS is written in PL/I and is supported by MULTICS.
Kavi, K. M.   +3 more
core   +1 more source

Home - About - Disclaimer - Privacy