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Chapter and Conference Paper
MOL-MOE: Learning Drug Molecular Characterization Based on Mixture of Expert Mechanism
Identifying new drugs with potential targets holds paramount significance in clinical medicine. Hence, the development of precise molecular property prediction methods to enable accurate drug screening is urge...
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Chapter and Conference Paper
STN-BA: Weakly-Supervised Few-Shot Temporal Action Localization
Existing Weakly-supervised Few-Shot Temporal Action Localization (WFTAL) methods often process feature snippets with limited information, resulting in prediction errors and poor localization performance. A nov...
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Article
YOLOv5-CSF: an improved deep convolutional neural network for flame detection
Fire is a multiple and destructive disaster that usually results in great loss of life and property. Therefore, early detection of fire can help minimize mortality and reduce the risk to ecosystems and propert...
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Article
Cross-subject aesthetic preference recognition of Chinese dance posture using EEG
Due to the differences in knowledge, experience, background, and social influence, people have subjective characteristics in the process of dance aesthetic cognition. To explore the neural mechanism of the hum...
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Chapter and Conference Paper
Logit Distillation via Student Diversity
Knowledge distillation (KD) is a technique of transferring the knowledge from a large teacher network to a small student network. Current KD methods either make a student mimic diverse teachers with knowledge ...
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Chapter and Conference Paper
Dynamic Memory-Based Continual Learning with Generating and Screening
Deep neural networks suffer from catastrophic forgetting when continually learning new tasks. Although simply replaying all previous data alleviates the problem, it requires large memory and even worse, often ...
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Chapter and Conference Paper
Conditional Convolution Residual Network for Efficient Super-Resolution
With the continuous development of deep learning, single-image super-resolution (SISR) based on convolutional neural networks (CNNs) has made significant progress. Although CNN-based methods have achieved grea...
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Chapter and Conference Paper
A Novel Radius Measurement Method for Vertical Oil Tank Based on Laser Tracking and Wall-Climbing Robot
In order to address the issue of low efficiency and poor accuracy in measuring the radius of large vertical oil tanks, a novel measurement method based on the combination of laser tracking and wall-climbing ro...
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Chapter and Conference Paper
Measurement and Application of Industrial Robot Jitter
Industrial robots are widely used in automobile and auto parts manufacturing, mechanical processing industry, electronic and electrical industry, rubber and plastic industry and many other critical areas. The ...
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Chapter and Conference Paper
A Full-Level Based Network to Detect Every Aircraft in Airport Scene
The rapid development of civil aviation has led to increasingly crowded airports. The complex airport environment and large number of aircraft make airport object detection a difficult task. Due to the large e...
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Chapter and Conference Paper
Motion Prior-Based Dual Markov Decision Processes for Multi-airplane Tracking
Multi-airplane tracking (MAT) is the foundation of airport video surveillance. Besides common problems in tracking such as occlusion, this task is further complicated by the specific challenges in airport. For...
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Chapter and Conference Paper
ADS-B-Based Spatial-Temporal Multi-scale Object Detection Network for Airport Scenes
Aircraft detection is important for intelligent airport applications. This task is challenging due to some problems, e.g. the aircraft is usually small and the appearance varies dramatically with view angle. I...
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Chapter and Conference Paper
Graded Error Compensation Method for Heavy-Load Manipulators Based on Laser Tracking Measurement
In order to meet the high positioning accuracy requirements of industrial application scenarios for manipulators, the motion accuracy of industrial manipulators is generally improved through error compensation...
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Chapter and Conference Paper
Online Compensation Method for Inertial Device Error of Airborne UAV
This paper analyzes the shortcomings and limitations of the traditional calibration technology of inertial devices in mass production UAVs. Firstly, the error source and error model of the inertial device are ...
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Chapter and Conference Paper
DualBLN: Dual Branch LUT-Aware Network for Real-Time Image Retouching
The 3D Lookup Table (3D LUT) is an efficient tool for image retouching tasks, which models non-linear 3D color transformations by sparsely sampling them into a discrete 3D lattice. We propose DualBLN (Dual Branch...
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Chapter and Conference Paper
Exploration on the Application of GIS Technology in the Field of Ecological Protection
The ecological environment system is a complex system related to the sustainable development of society, economy and nature, including biological resources, land, water resources and climate resources that aff...
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Chapter and Conference Paper
Research on Intelligent Algorithm for Target Allocation of Coordinated Attack
The coordinated attack target allocation problem is essentially a combinatorial optimization problem. Firstly, the relevant knowledge of the weapon target allocation problem is introduced, and several commonly...
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Article
Open AccessCorrection to: Transfer Hierarchical Attention Network for Generative Dialog System
The article Transfer Hierarchical Attention Network for Generative Dialog System written by Xiang Zhang and Qiang Yang, was originally published on vol. 16, no. 6 of International Journal of Automation and Comput...
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Chapter and Conference Paper
Multi-object Tracking Based on Nearest Optimal Template Library
Noisy detection and similar appearance lead to deteriorated mis-identification and id-switch in Multi-Object Tracking (MOT). To address these problems, we propose a novel Nearest Optimal Template Library (NOTL...
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Chapter and Conference Paper
Sensor Networks and Personal Health Data Management: Software Engineering Challenges
The advances of 5G, sensors, and information technologies enabled proliferation of smart pervasive sensor networks. 5G mobile networks provide low-power, high-availability, high density, and high-throughput da...