Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection

An, Peng; Wang, Zhiyuan; Zhang, Chunjiong

doi:10.1016/j.ipm.2021.102844

Cited by 189 publications

(163 citation statements)

References 15 publications

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“…The basic process of CBIR system is as follows: firstly, the low-level visual features of the image, such as color [ 15 ], texture [ 16 ], contour, and shape, are obtained by using the feature extraction algorithm, and the feature vector library of the image is constructed; then, through the similarity measurement algorithm, the similarity of visual features between images is calculated, and the retrieval results are returned according to the order of similarity. For example, [ 17 ] designed an image retrieval system using color and spatial information, in which a multilayer index mechanism sequential multiattribute tree (SMAT) is used to improve the retrieval efficiency. The first layer of the index is used to prune image clusters with different colors, and the second layer is used to distinguish image clusters with different spatial locality [ 18 ].…”

Section: Related Workmentioning

confidence: 99%

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Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Zhang

Peng

2022

Applied Bionics and Biomechanics

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Images are the main way for human beings to obtain and exchange information, and they play a crucial role in the process of human understanding and exploration of the world. Top- k inverse queries are widely used in real life. Currently, the most efficient algorithm for computing top- k inverse sets is the inverse top- k algorithm. Our algorithm is significantly limited when dealing with top- k inverse queries. To address these limitations, an intuitive branch-and-bound algorithm is proposed to efficiently handle top- k inverse queries, and novel optimization methods are discussed to mention its high performance. Experimental evaluation shows that the algorithm is far more efficient than the inverse top- k algorithm.

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Section: Related Workmentioning

confidence: 99%

“…The possibility of caching the retrieval results in the metric space is studied to reduce the average overhead of the query process. In addition, [ 17 ] also explored content-based image retrieval in different directions based on previous studies.…”

Section: Related Workmentioning

confidence: 99%

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Zhang

Peng

2022

Applied Bionics and Biomechanics

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“…here T [ ] denotes some transformation, either linear or nonlinear, Q n is a time series obtained after all segments are processed [27], rectangular and Hanning windows, which are defined as:…”

Section: Add Windowmentioning

confidence: 99%

Research on Network Oral English Teaching System Based on Machine Learning

Liu

2022

Security and Communication Networks

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With the development of computer science and technology and the advancement of language teaching and learning methods, computer-assisted language learning technology has made it possible to solve this problem. In the area of oral learning, some computer-assisted language learning systems at home and abroad mainly focus on the learning of words and grammar and only have one or two evaluation indicators as the basis of evaluation, which have certain functional defects and can only give an overall rating to learners’ pronunciation. To address these problems, this paper takes the English speech of Chinese college students as the research object and improves the traditional computerized English pronunciation quality evaluation method by considering multiplicative evaluation indexes, such as pitch, speed, rhythm, and intonation; i.e., pitch evaluation is based on frequency central feature parameters, speech speed evaluation based on speech duration, rhythm evaluation. The method of pitch, speed, rhythm, and intonation evaluation has been experimentally verified to be reliable. Furthermore, considering the weight of the above multiplicative evaluation indexes.

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“…In terms of image processing algorithms, the deep learning model can well extract the deep features of the image and can reduce the feature redundancy and improve the feature correlation by changing the network topology of the model, such as appropriately increasing the depth and width of the network. Since [ 16 ] applied a convolutional neural network to medical image analysis in 1995, the deep learning model has rapidly become an important method for studying and analyzing medical images [ 17 ], and it has made important progress in assisting the clinical diagnosis of brain, breast, lung, and other organs, but the research on assisting the diagnosis of spinal diseases is basically blank.…”

Section: Introductionmentioning

confidence: 99%

Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening

Wang

Liu

2022

Journal of Healthcare Engineering

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The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is very important for clinicians to explore the effect of multimodal analgesia nursing on pain control after spinal fusion and to formulate treatment strategies and patients’ health recovery. However, there are still many problems in this aspect, and there is a lack of relevant research and effective methods to assist clinicians in diagnosis. Therefore, to improve the accuracy of computer-aided diagnosis of intervertebral foramen stenosis and the work efficiency of doctors, a deep learning automatic grading algorithm of intervertebral foramen stenosis image is proposed in this study. The image of intervertebral foramen was extracted from the MRI image of sagittal spine, and the image was preprocessed. 86 patients with spinal fusion treated in our hospital, specifically from May 2018 to May 2020, were randomly divided into the control group (routine analgesic nursing) and the multimodal group (multimodal analgesic nursing), with 43 cases in each group. The pain control effect and satisfaction of the two groups were observed. The results after multimodal analgesia nursing show that the VASs of the multimodal group at different time points were significantly lower than those of the control group P < 0.05 ; the satisfaction score of pain control in the multimodal group was significantly higher than that in the control group P < 0.05 . Multimodal analgesia nursing for patients undergoing spinal fusion can effectively reduce the degree of postoperative pain and improve the effect of pain control and satisfaction with pain control, which is worthy of promotion.

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Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection

Cited by 189 publications

References 15 publications

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Research on Network Oral English Teaching System Based on Machine Learning

Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening

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Ensemble unsupervised autoencoders and Gaussian mixture model for cyberattack detection

Cited by 189 publications

References 15 publications

Design of Branch Definition Algorithm for Top- k Inverse Queries for Image Processing

Design of Branch Definition Algorithm for Top- k Inverse Queries for Image Processing

Research on Network Oral English Teaching System Based on Machine Learning

Study on Automatic Multi-Classification of Spine Based on Deep Learning and Postoperative Infection Screening

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Product

Resources

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Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing

Design of Branch Definition Algorithm for Top- $k$ Inverse Queries for Image Processing