Results 61 to 70 of about 2,643,411 (303)
International Journal of Information and Communication Technology Research, 2011 Automatic classification of text data has been one of important research topics during recent decades. In this research, a new model based on data fusion techniques is introduced which is used for improving text classification effectiveness.
Mohammad Ali Ghaderi +3 more
doaj
Multi-Source HRRP Target Fusion Recognition Based on Time-Step Correlation
Applied Sciences, 2023 Aiming at the limitations of a single High Resolution Range Profile (HRRP) in recognition, this paper proposes a Time step Correlation-based Feature Fusion (TCFF) method.
Jianbin Lu, Zhibin Yue, Lu Wan
doaj +1 more source
Feature fusion for facial landmark detection
Pattern Recognition, 2014 Abstract Facial landmark detection is a crucial first step in facial analysis for biometrics and numerous other applications. However, it has proved to be a very challenging task due to the numerous sources of variation in 2D and 3D facial data.
Panagiotis Perakis +2 more
openaire +2 more sources
The multi-level feature fusion method.
, 2022 The multi-level feature fusion method.
Qian Xu (119888) +5 more
core +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
Pixel Level Image Fusion using Fuzzylet Fusion Algorithm [PDF]
, 2013 Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion
Bindu, Elias, Naidu, VPS, Swathi, Nair
core
Discrete Graphical Models for Alphabet-Based Multisensory Data Fusion and Classification [PDF]
, 2011 The way of multisensory data integration is a crucial step of any data fusion method. Different physical types of sensors (optic, thermal, acoustic, radar, etc.), different resolution, and different types of GIS digital data (elevation, vector maps, etc.
Palubinskas, Gintautas +5 more
core +1 more source
Degradation mechanism of the von Willebrand factor A2 domain by nattokinase
FEBS Letters, EarlyView.Nattokinase, a natto‐derived protease, exhibits potent antithrombotic effects. This study demonstrates that nattokinase directly cleaves the von Willebrand factor (vWF) A2 domain in vitro. Unlike the native regulator ADAMTS13, nattokinase degrades folded vWF independently of shear stress.
Ryuichi Hyakumoto +3 more
wiley +1 more source
MSFFNet: A Multilevel Sparse Feature Fusion Network for Infrared Dim Small Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe sparse characteristics of target features poses significant challenges when using deep learning methods for infrared dim small targets. To tackle this issue, this article proposes a novel multilevel sparse feature fusion network for detecting ...
Xiangyang Ren +5 more
doaj +1 more source
Multi-channel feature fusion process diagram.
, 2022 Multi-channel feature fusion process diagram.
Guoxiong Zhou (12245608) +7 more
core +1 more source