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Article
A Multi-Task Learning Based Runoff Forecasting Model for Multi-Scale Chaotic Hydrological Time Series
Accurately predicting runoff is crucial for managing water resources, preventing and mitigating floods, scheduling hydropower plant operations, and protecting the environment. The hydrological dynamic composit...
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Article
Learning a dual-branch classifier for class incremental learning
Catastrophic forgetting is a non-trivial challenge for class incremental learning, which is caused by new knowledge learning and data imbalance between old and new classes. To alleviate this challenge, we prop...
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Article
The rapid induction of OsPR1A protein is crucial in Xa21-mediated rice bacterial blight resistance
Rice XA21 is an immune receptor kinase that confers broad-spectrum resistance against Xanthomonas oryzae pv. oryzae (Xoo). Pathogenesis-related (PR) proteins are located downstream of the plant immune system and ...
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Chapter and Conference Paper
An Improved A* Algorithm Based on Localizability Estimation for Mobile Robots
A* algorithm is widely adopted for path planning in the applications of mobile robots. However, the existence of extended nodes and redundant points after applying A* algorithm may cause a long planned path. T...
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Article
Optimized highway deep learning network for fast single image super-resolution reconstruction
With the success of the deep residual network for image recognition tasks, the residual connection or skip connection has been widely used in deep learning models for various vision tasks, including single ima...
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Article
A time series forecasting based on cloud model similarity measurement
In this paper, a local cloud model similarity measurement (CMSM) is proposed as a novel method to measure the similarity of time series. Time series similarity measurement is an indispensable part for improvin...
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Article
Open AccessIntegrative Multi-Spectral Sensor Device for Far-Infrared and Visible Light Fusion
Infrared and visible light image fusion technology is a hot spot in the research of multi-sensor fusion technology in recent years. Existing infrared and visible light fusion technologies need to register befo...
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Article
Weakly paired multimodal fusion using multilayer extreme learning machine
Multimodal data have recently become nearly ubiquitous in the real world. Exploring the multimodal fusion is beneficial to improve the performance of the system. However, it is difficult to ensure that data co...
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Article
Robotic gras** recognition using multi-modal deep extreme learning machine
Recognizing which part of an object is graspable or not is important for intelligent robot to perform some complicated tasks. In order to obtain good gras** performance, learning rich representations efficie...
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Chapter and Conference Paper
Multi-modal Deep Extreme Learning Machine for Robotic Gras** Recognition
Learning rich representations efficiently plays an important role in multi-modal recognition task, which is crucial to achieve high generalization performance. To address this problem, in this paper, we propos...
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Chapter and Conference Paper
Knowledge-Based Genetic Algorithms
In this paper, Rough Set Theory (RST) was introduced to discover knowledge hidden in the evolution process of Genetic Algorithm. Firstly it was used to analyze correlation between individual variables and thei...
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Chapter and Conference Paper
The Application of IMEA in Nonlinearity Correction of VCO Frequency Modulation
In this paper, Immune Mind Evolutionary Algorithm (IMEA) is introduced to correct the nonlinearity of frequency modulation (FM) of voltage controlled oscillator (VCO) in linear frequency modulation continuous ...
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Chapter and Conference Paper
MEA Based Nonlinearity Correction Algorithm for the VCO of LFMCW Radar Level Gauge
In this paper, Mind Evolutionary Algorithm (MEA) is introduced to correct the nonlinearity of voltage-controlled oscillator (VCO) in linear frequency modulation continuous wave (LFMCW) radar level gauge. First...
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Chapter and Conference Paper
Application of BP Network-Based Multi-sensor Fusion Techniques in Measurement of the Unburned Carbon in Fly Ash
Coal type has great influence on the measurement of the unburned carbon in fly ash in thermal power plant. Based on analyzing the factors mainly affect the measurement accuracy, microwave technique and capacit...
