Results 21 to 30 of about 399,843 (267)

Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation

Sensors, 2020
With the rapid development of flexible vision sensors and visual sensor networks, computer vision tasks, such as object detection and tracking, are entering a new phase.
Yiqing Zhang, Jun Chu, Lu Leng, Jun Miao
doaj   +1 more source

Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification?

The Scientific World Journal, 2014
Human protein subcellular location prediction can provide critical knowledge for understanding a protein’s function. Since significant progress has been made on digital microscopy, automated image-based protein subcellular location classification is ...
Fan Yang, Ying-Ying Xu, Hong-Bin Shen
doaj   +1 more source

Reinforced Palmprint Reconstruction Attacks in Biometric Systems

Sensors, 2022
Biometric signals can be acquired with different sensors and recognized in secure identity management systems. However, it is vulnerable to various attacks that compromise the security management in many applications, such as industrial IoT.
Yue Sun, Lu Leng, Zhe Jin, Byung-Gyu Kim
doaj   +1 more source

An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization

IEEE Access, 2019
Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts.
Junhua Li, Guoyu Chen, Ming Li, Hao Chen
doaj   +1 more source

Two-Level Wavelet-Based Convolutional Neural Network for Image Deblurring

IEEE Access, 2021
Image deblurring aims to restore the latent sharp image from the blurred one. In recent years, some learning-based image deblurring methods have achieved significant advances.
Yeyun Wu, Pan Qian, Xiaofeng Zhang
doaj   +1 more source

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification

IEEE Access, 2018
The extraction of features from the fully connected layer of a convolutional neural network (CNN) model is widely used for image representation. However, the features obtained by the convolutional layers are seldom investigated due to their high ...
Na Liu, Lihong Wan, Yu Zhang, Tao Zhou, Hong Huo, Tao Fang   +5 more
doaj   +1 more source

Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring

IEEE Access, 2020
Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao, Bangshu Xiong, Shan Gai, Lei Wang   +3 more
doaj   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

A Novel Imperialist Competitive Algorithm With Multi-Elite Individuals Guidance for Multi-Object Unrelated Parallel Machine Scheduling Problem

IEEE Access, 2019
In this study unrelated parallel machine scheduling problem (UPMSP) with preventive maintenance (PM) and sequence dependent setup times (SDST) is investigated.
Mei Wang, Guohua Pan
doaj   +1 more source

Digital image steganalysis: A survey on paradigm shift from machine learning to deep learning based techniques

IET Image Processing, 2021
Steganography, a branch of data hiding techniques aims to hide confidential information within any digital media by obscuring the existence of hidden information. On the contrary, steganalysis aims to detect steganography.
Arivazhagan Selvaraj, Amrutha Ezhilarasan, Sylvia Lilly Jebarani Wellington, Ananthi Roy Sam   +3 more
doaj   +1 more source