Results 31 to 40 of about 45,571 (196)

RPN-FCN based Rust detection on power equipment

Procedia Computer Science, 2019
Abstract This paper proposes a novel RPN-FCN based rust detection approach. The RPN-FCN generates region proposals with RPN and performs full convolution for semantic segmentation of rust. The experimental result demonstrate that this approach improves the accuracy of rust detection compared with other neural networks.
Yuan, J. (Jiangru), Xue, B. (Bing), Zhang, W. (Weishan), Xu, L. (Liang), Sun, H. (Haoyun), Zhou, J. (Jiehan)   +5 more
openaire   +2 more sources

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

Advanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source

Predetermination and Identification of Failure Modes Related to a Welded Car Chassis Component

Romanian Journal of Transport Infrastructure
Failure Mode and Effects Analysis (FMEA) is a method commonly used in activities with the main objective of finding measures to improve manufacturing processes or products, by identifying actual and potential ways in which components fail or processes ...
Ana-Maria Bogatu, Dumitru-Titi Cicic, Mihăiță-Nicolae Coman, Corneliu Rontescu, Alexandru-Vasile Oancea   +4 more
doaj   +1 more source

A propensity-score matched comparison of perioperative and early renal functional outcomes of robotic versus open partial nephrectomy.

PLoS ONE, 2014
ObjectivesTo compare the perioperative and early renal functional outcomes of RPN with OPN for kidney tumors.Materials and methodsA total of 209 RPN or OPN patients with availability of preoperative cross-sectional imaging since 2009 at our center were ...
Zhenjie Wu, Mingmin Li, Le Qu, Huamao Ye, Bing Liu, Qing Yang, Jing Sheng, Liang Xiao, Chen Lv, Bo Yang, Xu Gao, Xiaofeng Gao, Chuanliang Xu, Jianguo Hou, Yinghao Sun, Linhui Wang   +15 more
doaj   +1 more source

Hydrogels Formed by the Self‐Assembly of Collagen‐Mimetic Peptides With a Constrained Backbone Structure

Chemistry – A European Journal, EarlyView.
Kinked collagen‐mimetic peptides (kinkCMPs), whose backbone is constrained by a disulfide bond, are designed to induce hydrogel formation. The kinked backbone promotes supramolecular assembly into tunable hydrogels with thermal stability depending on length.
Moeka Noto, Kazunori K. Fujii, Yuetsu Shu, Takashi Hiroi, Takaki Koide   +4 more
wiley   +1 more source

Risk Priority Number: A Measuring Instrument for Hygienic Management on Broiler Farms, Reflecting Their Campylobacter Status

Agriculture, 2013
Hygiene management is essential for rearing Campylobacter free broiler flocks. In this study, several hygiene factors (e.g., thinning, water supply, stable cloths, stable condition, stable environment, etc.) are categorized and aggregated in a developed ...
Peter Pless, Monika Matt, Hans Peter Stüger   +2 more
doaj   +1 more source

The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

Complexity, 2021
The risk priority number (RPN) calculation method is one of the critical subjects of failure mode and effects analysis (FMEA) research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic.
Xiaojun Wu, Jing Wu
doaj   +1 more source

A Facile Protocol for C(sp2)–C(sp3) Bond Formation Reactions Toward Functionalized E3 Ligase Ligands

ChemMedChem, EarlyView.
A robust C(sp2)–C(sp3) decarboxylative coupling strategy enables access to new CRBN ligands and degraders with improved physicochemical properties. This synthetic approach is expanding the chemical space beyond C(sp2)–N linkages, fine‐tuning proteolysis‐targeting chimera activities and unlocking previously inaccessible degrader chemotypes.
Anita Maksutova, Thomas M. Geiger, Lorenzo Cianni, Dominika E. Pieńkowska, Jan Gerhartz, Lina Read, Aleša Bricelj, Alexander Herrmann, Maurice Leon Nelles, Yuen Lam Dora Ng, Marcus D. Hartmann, Jan Krönke, Izidor Sosič, Radosław P. Nowak, Michael Gütschow, Christian Steinebach   +15 more
wiley   +1 more source

Symmetry Group and Group Representations Associated to the Thermodynamic Covariance Principle (TCP)

, 2016
We describe the Lie group and the group representations associated to the nonlinear Thermodynamic Coordinate Transformations (TCT). The TCT guarantee the validity of the Thermodynamic Covariance Principle (TCP) : {\it The nonlinear closure equations, i.e.
Evslin, Jarah, Sonnino, Alberto, Sonnino, Giorgio, Steinbrecher, György, Tirapegui, Enrique   +4 more
core   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source