49 Result(s)
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Chapter and Conference Paper
Research on FaceNet Face Recognition Algorithm Based on Attention Mechanism
FaceNet face recognition algorithm is the mainstream face recognition algorithm at present, and its running speed is widely used in the industry. To further improve the accuracy of FaceNet face recognition net...
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Chapter and Conference Paper
Interpretable Back Propagation Neural Network Based Fast Directional Modulation Design
Traditional solutions for directional modulation (DM) rely on weight optimization methods, which has high computational complexity and cannot be implemented in real time. To solve the problem, in this paper, a...
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Chapter and Conference Paper
Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse
The classic metaphyseal lesion (CML) is a distinct injury that is highly specific for infant abuse. It commonly occurs in the distal tibia. To aid radiologists detect these subtle fractures, we need to develop...
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Chapter and Conference Paper
Sparse Deep Neural Network Based Directional Modulation Design
When receivers change their locations, the transmitter array needs to change its weight coefficient to steer the mainbeam pointing to the corresponding direction. However, the traditional direction modulation ...
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Chapter and Conference Paper
Make Chat-GPT 4 an Expert Reading Assistant
In this study, an end-to-end framework was constructed to consolidate key information into an intuitive, easy-to-read table or graphical interface by using ChatGPT4 to analyse news articles from the automotive...
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Chapter and Conference Paper
CAGviz: A Visual Analysis Method to Explore Cyber Asset Graphs of Cybercrime Gangs
In recent decades, cybercrime has become more and more frequent in people’s lives, causing serious consequences. Cybercrime groups usually hold a range of large and complex cyber assets to support the operatio...
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Chapter and Conference Paper
Research on Energy Consumption Prediction of Pump Truck Based on LSTM-Transformer
The Transformer model based on Attention mechanism has the ability of highly parallel computing and capturing the dependency between data, providing a new means for time series prediction. However, while Trans...
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Chapter and Conference Paper
Intelligent Identification Approach of Vibratory Roller Working Stages Based on Multi-dimensional Convolutional Neural Network
A multi-dimensional classification model based on convolutional neural networks (MDC-CNN) is proposed to realize the intelligent identification for the working stages of vibratory rollers. The approach achieve...
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Chapter and Conference Paper
MBTIviz: A Visualization System for Research on Psycho-Demographics and Personality
The increasing interest in exploring the correlation between personality traits and real-life individual characteristics has been driven by the growing popularity of the Myers‒Briggs Type Indicator (MBTI) on s...
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Chapter and Conference Paper
Research on Size System of Disposable PE Gloves Based on Hand Contour Measurement
Disposable PE gloves are in great demand in the catering industry, and although their use accuracy is not high, disposable PE gloves of inconsistent size will still cause great discomfort to consumers. Therefo...
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Chapter and Conference Paper
Adaptive Multi-threshold Image Segmentation Technology Based on Intelligent Algorithm
Image segmentation technology is to assign a label to each pixel in the image. Accurate image segmentation technology can play a key role in various deep learning tasks such as medical analysis and satellite i...
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Chapter and Conference Paper
A Novel Nonlinear Dictionary Learning Algorithm Based on Nonlinear-KSVD and Nonlinear-MOD
At present, scholars have proposed numerous linear dictionary learning methods. In the field of dictionary learning, linear dictionary learning is the most commonly applied method, and it is typically utilized...
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Chapter and Conference Paper
Inception Based Medical Image Registration
Biological tissue has strong absorbability and strong scattering, which may lead to edge blur, low signal-to-noise ratio and so on, which affects the registration of medical images. This chapter simulates and ...
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Chapter and Conference Paper
Image Compression Based on Mixed Matrix Decomposition of NMF and SVD
Image compression has always been a key research hotspots in image processing. An efficient image compression approach will not only save considerable storage resources, but also exceedingly ease the communica...
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Chapter and Conference Paper
Predicting Categorial Sememe for English-Chinese Word Pairs via Representations in Explainable Sememe Space
Sememe is the minimum unambiguous semantic unit in human language. Sememe knowledge bases(SKB) have been proven to be effective in many NLP tasks. Categorial sememe, indicating the basic category of word sense...
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Chapter and Conference Paper
A Multispectral Image Enhancement Algorithm Based on Frame Accumulation and LOG Detection Operator
In multispectral transmission image, due to the strong scattering and strong absorption characteristics of biological tissue, the weak image signal, low signal-to-noise ratio, and blurred edges of the transmis...
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Chapter and Conference Paper
A Data Processing Method for Load Data of Electric Boiler with Heat Reservoir
Data preprocessing is the first and critical step in various tasks due to existed quite a few dirty records. Although there are some corresponding methods for data from electric power system, those methods are...
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Chapter and Conference Paper
Steady-State Modeling and Power Flow Calculation of Integrated Electric-Gas Coupling Energy System Based on Energy Circuit Theory
With the rapid development of P2G technology and gas turbine technology, the connection between the power system and natural gas system has become closer. Power flow calculation, as a basic application of ener...
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Chapter and Conference Paper
Research on the Logical Levels and Roles of Human Interaction with Intelligent Creatures Under the Trend of Human-Computer Intelligence Integration
At present, the combination of computers and humans in the field of artificial intelligence is getting closer and closer, which is not only reflected in the physical level, but also in the psychological level....
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Chapter and Conference Paper
Aggregate Model for Power Load Forecasting Based on Conditional Autoencoder
Load forecasting is an important machine learning problem in the field of power system, which is of great significance to power system source load balance, power supply planning and system maintenance. With th...
