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Chapter and Conference Paper
Intelligent Inspection Unmanned Aerial System Based on Neural Network Modelling
Intelligent inspection UAV system can complete inspection tasks safely and efficiently without human intervention. Using neural network model and high-precision camera equipment for image acquisition and proce...
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Chapter and Conference Paper
A Combat Capability Evaluation Method of UAV Swarm Based on Kill Chain
The combat capability of UAV swarm is realized mainly by rapidly forming multiple kill chains and efficiently attacking the combat target with the efficient collaboration, rapid replacement and replenishment o...
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Article
Prediction for cryogenic formability of AA2219 alloy cylindrical parts with friction stir weld
A cryogenic deep drawing process was proposed for complex curved surface part forming with aluminum alloy friction stir welded (FSW) blanks. The experimental forming limit curves (FLCs) of AA2219 alloy FSW bla...
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Article
A novel intuitionistic fuzzy three-way decision model based on an intuitionistic fuzzy incomplete information system
As a new method of granular computing, the three-way decision (3WD) approach has unique advantages in handling uncertain and imprecise problems. Based on decision-theoretic rough sets (DTRSs) and Bayesian mini...
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Chapter and Conference Paper
Energy-Aware Flow Table Strategy for Software Defined Wireless Power Communication Network Using Floyd Algorithm
With the continuous expansion of the services and the coverage of power telecommunication network, the reliability and flexibility of the network have been put forward higher requirements. In the power system,...
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Chapter and Conference Paper
An Image Encryption Method Based on Logistic Map** and Phasmatodea Population Evolution Algorithm
security of information is closely related to our daily life and occupies an important position. The data encryption algorithm is an indispensable element in modern life. Image encryption technology i...
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Chapter
Computer-Aided Detection of Depressive Severity Using Multimodal Behavioral Data
This chapter presents depressive severity detection using deep learning methods for automatic audio, visual and audiovisual emotion sensing. The article starts from basic methods on experimental design and dat...
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Chapter
Artificial Intelligence in Remote Photoplethysmography: Remote Heart Rate Estimation from Video Images
This chapter aims to introduce remote heart rate estimation from video images, which is considered to be a cost-effective and comfortable method with great potential to become a supplementary medical modality ...
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Article
Diversity collaboratively guided random drift particle swarm optimization
The random drift particle swarm optimization (RDPSO) algorithm is an effective random search technique inspired by the trajectory analysis of the canonical PSO and the free electron model in metal conductors p...
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Article
Multiple source domain adaptation in micro-expression recognition
Facial recognition has now played a pivotal role in many applications, including biomechanics, sports, image segment, animation, and robotics, etc. Although commercial facial recognition is matured, micro-expr...
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Article
Learning number reasoning for numerical table-to-text generation
Although the existing numerical table-to-text generation models have achieved remarkable progress, the idea of generating an accurate analysis of the input table is not well explored. Most existing table-to-te...
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Article
Influence Paths of Marine Ranching Ecological Security in China Based on Probabilistic Linguistic Term Sets and Qualitative Comparative Analysis
Marine ranching can increase the harvesting capacity of many species and help achieve planned and purposeful production of marine resources. However, marine ranching ecological security (MRES) has received lim...
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Chapter and Conference Paper
Generating Actuation Sensor Based on the First Positive and the Secondary Converse Piezoelectric Effect
On the basis of classical piezoelectric theory, dielectric theory and anisotropic elasticity theory, a new design method designing generating actuation sensor based on the first positive and the secondary conv...
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Chapter and Conference Paper
Wearable Sensors Based Remote Patient Monitoring Using IoT Data Analytics
In this paper, wearable sensors based remote patient monitoring system using IoT analytic platform is proposed. This system is targeted for cardiovascular diseases as it can be used to monitor and check the cu...
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Article
RobNet: real-time road-object 3D point cloud segmentation based on SqueezeNet and cyclic CRF
In order to realize real-time 3D environment perception of UAVs and autopilot in low-altitude complex road scenes, a neural network model RobNet based on SqueezeNet and cyclic CRF for real-time 3D point cloud ...
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Chapter and Conference Paper
Flipped Classroom Teaching of College English Based on “Rain Classroom”
With the arrival of the “Internet +” era, information technology and classroom teaching continue to merge deeply, and the application of flipped teaching based on rain classroom in college English is a success...
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Chapter and Conference Paper
Optimal Scheduling and Benefit Analysis of Solid Heat Storage Devices in Cold Regions
On the basis of analyzing the characteristics of wind power in winter heating period and considering the critical state of wind power integration, this paper rationalized the energy load, decoupled the energy ...
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Chapter and Conference Paper
A Reliable Data Transmission Protocol Based on Network Coding for WSNs
Nowadays, wireless Sensor Networks (WSN) technology has been applied in more and more fields, such as medical, military, environmental protection, and so on. WSNs increase the efficiency of people’s access to ...
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Chapter and Conference Paper
Quantifying Vertebral Endplate Degeneration Using the Concavity Index
A novel morphometric measurement of endplate degradation was compared with qualitative ratings of intervertebral disc degeneration (Pfirrmann Grading) in a double-blinded study to investigate a new, quantitati...
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Chapter and Conference Paper
Face Recognition Based on Improved FaceNet Model
The convolutional neural networks (CNN) is one of the most successful deep learning model in the field of face recognition, the different image regions are always treated equally when extracting image features...