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LSB Substitution Image Steganography Based on Randomized Pixel Selection and One-Time Pad Encryption
Digital communication is an inseparable part of almost every individual and involved community on the plant. Different algorithms use to secure the transmission media such as image and sound. Using steganography as essential tools to keep the integrity ...
Alzheimer's Disease Classification Using Structural MRI Based on Convolutional Neural Networks
Research on Alzheimer's Disease auxiliary diagnosis based on deep learning has been receiving more and more attention. However, in existing AD classification research based on T1-weighted structural Magnetic Resonance Imaging, the influence of different ...
Ultra-Fast Mini License Plate Recognition System Based-on Vision Processing Unit
As more embedded environments need license plate recognition systems, how to recognize car plates with high speed/accuracy and low energy has become an important and challenging problem. In this paper, we propose a ultra-Fast miNi (FaNi) license plate ...
Driver's Gaze Zone Estimation Method: A Four-channel Convolutional Neural Network Model
Driver's gaze has become an important indicator to analysis driving state. By estimating the gaze zone of drivers, we can further judge their fatigue state and even predict their driving intention in the next step. In this paper, we propose a four-...
Driver Hand Detection Using Squeeze-and-Excitation YOLOv4 Network
In this paper, we have proposed a driver hand detection method using YOLOv4 combined with Squeeze-and-Excitation (SE) module, which we called SE-YOLOv4. In our proposed SE-YOLOv4, we add the SE module to the CSPDarknet in the backbone of YOLOv4. The SE ...
Analysis the Influence of Guilin Tourism Economic Income on the Per Capita Disposable Income of Urban Residents Based on GIS Technology
With the rapid development of computer technology, GIS technology has been widely used in the field of spatial geographic information, and the research on spatial analysis is becoming more and more important. This paper uses GIS and mathematical ...
Feedback Knowledge Graph for Recommendation
Knowledge graph is wildly used in recommendation system to deal with the sparsity and lack of interactive information. The negative samples in most recommendation systems are obtained by negative sampling from the no interactive data. There are some ...
Research on the Relationship between Precision Marketing and Company Development Ability
In the current Internet marketing, many enterprises face the problem that they cannot find the key marketing points and waste huge advertising expenses, which is the result of the traditional advertising industry covering an excessive number of non-...
Stock Volume Prediction Based on Polarity of Tweets, News, and Historical Data Using Deep Learning
Deep Learning and Natural Language Processing are branches of modern technology that are fast being used to solve myriads of problems that inflict us in our daily life. A particular problem that has the potential to benefit greatly from the capabilities ...
An Evolutionary Game Analysis on Patients’ Value Creation Behavior in Online Healthcare Community
Online Healthcare Communities(OHCs) afford a convenient approach to obtaining healthcare information and services, and encourage users to engage in their own healthcare management activities. However, user loyalty and use frequency to OHCs is rather ...
ICTA: Intelligent Computing Task Allocation for Efficient Deep Learning in Distributed Edge Computing System of IoT
As a critical part of distributed cross-device edge computing systems, computing task allocation is responsible to reasonably map the computation of DL tasks onto the set of available Internet-of-Things (IoT) devices, with the aim to achieve efficient ...
Index Terms
- Proceedings of the 2020 2nd International Conference on Big-data Service and Intelligent Computation