Citrus Huanglongbing Detection Based on Multi-Modal Feature Fusion Learning
Citrus Huanglongbing (HLB), also named citrus greening disease, occurs worldwide and is known as a citrus cancer without an effective treatment. The symptoms of HLB are similar to those of nutritional deficiency or other disease.
Dongzi Yang +13 more
doaj +1 more source
Top-Down Pyramid Fusion Network for High-Resolution Remote Sensing Semantic Segmentation
In recent years, high-resolution remote sensing semantic segmentation based on data fusion has gradually become a research focus in the field of land classification, which is an indispensable task of a smart city.
Yuhang Gu, Jie Hao, Bing Chen, Hai Deng
doaj +1 more source
The research of emotion recognition based on multi-source physiological signals with data fusion [PDF]
In the context of the increasing application value of emotion recognition and the continuous development of data fusion technology, it is of great significance to study the emotion recognition model based on multi-source physiological signals with data ...
Han Yuanteng, Xu Yong
doaj +1 more source
Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition [PDF]
Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017.
Ramalingam, Soodamani
core +2 more sources
Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection [PDF]
Social media platforms are inundated with a vast amount of unverified information,much of which originates from he-terogeneous data from multi-source,which spreads so widely and quickly that it poses a significant threat to individuals and society ...
YU Yongxin, JI Ke, GAO Yuan, CHEN Zhenxiang, MA Kun, ZHAO Xiaofan
doaj +1 more source
Multi-Source Feature Fusion for Object Detection Association in Connected Vehicle Environments
Improvements in vehicular perception systems over the last decade have enabled new levels of safety and awareness in modern production vehicles. However, achievable performance of these perception systems is bounded by sensor limitations, such as range, and environmental factors, such as occlusion. Collaborative perception circumvents these limitations
Samuel Thornton +2 more
openaire +4 more sources
Motor On-Line Fault Diagnosis Method Research Based on 1D-CNN and Multi-Sensor Information
The motor is the primary impetus source of most mechanical equipment, and its failure will cause substantial economic losses and safety problems. Therefore, it is necessary to study online fault diagnosis techniques for motors, given the problems caused ...
Yufeng Gu +3 more
doaj +1 more source
A Multi-source Feature-level Fusion Approach for Predicting Strip Breakage in Cold Rolling [PDF]
As an undesired and instantaneous failure in the production of cold-rolled strip products, strip breakage results in yield loss, reduced work speed and further equipment damage. Typically, studies have investigated this failure in a retrospective way focused on root cause analyses, and these causes are proven to be multi-faceted.
Chen, Zheyuan +3 more
openaire +1 more source
Multimodal person recognition for human-vehicle interaction [PDF]
Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions.
Abut, Huseyin +9 more
core +1 more source
Quality assessment by region in spot images fused by means dual-tree complex wavelet transform [PDF]
This work is motivated in providing and evaluating a fusion algorithm of remotely sensed images, i.e. the fusion of a high spatial resolution panchromatic image with a multi-spectral image (also known as pansharpening) using the dual-tree complex wavelet
Arquero Hidalgo, Águeda +2 more
core +2 more sources

