the intension of cloud computing is to provide a dependable, secure, robust, long-lasting, and scalable infrastructure for hosting Internet application services. modest and only adds resources when demand for the serv...
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the proceedings contain 119 papers. the topics discussed include: the construction of mobile education in cloud computing;symmetry detection of occluded point cloud using deep learning;robust water meter reading recog...
the proceedings contain 119 papers. the topics discussed include: the construction of mobile education in cloud computing;symmetry detection of occluded point cloud using deep learning;robust water meter reading recognition method for complex scenes;the campus cloud platform setup based on virtualization technology;compliance analysis of business information system under classified protection 2.0 of cybersecurity;an edge node monitoring method for power line and wireless integration;a multi-robot monitoring system based on digital twin;virtual instrument based on electronic and electrician's experiment teaching laboratory design;and lattice clustering and its application in credit risk management of commercial banks.
Characterizing, predicting, and quantifying the impact of postings, tweets, messages, etc. on social media platforms is a topic of growing interest due to the increasing reliance on using social media as a means for v...
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ISBN:
(纸本)9781450355490
Characterizing, predicting, and quantifying the impact of postings, tweets, messages, etc. on social media platforms is a topic of growing interest due to the increasing reliance on using social media as a means for various purposes by individuals and organizations alike. In this paper, we describe an information diffusion model on the social network of Twitter. the model treats information diffusion on social media as a multivariate time series problem and deals mainly withthree different dimensions of Twitter data and the different patterns of information diffusion. these dimensions are the volume of tweets, the sentiment of tweets and influence of tweets. To discover different patterns of information diffusion on Twitter, time series clustering is used where Dynamic Time Warping distance is adopted as the distance measure. To predict different parameters of each of the three dimensions, the linear time series model of Autoregressive Integrated Moving Average (ARIMA) and the non-linear time series model of Long Short-Term Memory (LSTM) Recurrent Neural Networks are used and their performance is compared. Results indicate that LSTM models achieve far better performance and hold great potential to be utilized for real-world applications.
In order to improve the recognition rate of face recognition, a face expression extraction method is designed. Firstly, wavelet transform was used to extract low-frequency components, then PCA was used to map low-freq...
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作者：
Pletschacher, S.Hu, J.Antonacopoulos, A.Research Lab.
School of Computing Science and Engineering University of Salford Greater Manchester United Kingdom IBM
T.J. Watson Research Center 1101 Kitchawan Road Route 134 Yorktown Heights NY 10598 United States
this paper presents a new semi-supervised clustering framework to the recognition of heavily degraded characters in historical typewritten documents, where off-the-shelf OCR typically fails. the constraints are genera...
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With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character recognition (OCR) on each document followed by indexing ...
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this article presents the use of Customized Multi-Layer ANN based patternrecognition Technique for the numerical differential protection of a power transformer. An efficient Resilient Back Propagation trained neural ...
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this research paper's main objective is to present the current status of some old vernacular residential buildings in the rural areas of Himachal Pradesh a state rich in heritage, religious and cultural aspects in...
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ISBN:
(纸本)9781728127910
this research paper's main objective is to present the current status of some old vernacular residential buildings in the rural areas of Himachal Pradesh a state rich in heritage, religious and cultural aspects in India. the research paper also correlates to the traces of the human life (socio-cultural and economic) and communities' perception towards built heritage in Rural areas. For this purpose, the studies have been conducted on two of its villages which have been given as the heritage village status by the state government. the paper uses GIS as a software tool for a better understanding and valorization of the cultural heritage in an holistic manner.
Compared to macro-expressions, recognizing micro-expres-sions is more challenging due to low intensity and their brief duration. To deal withthis issue, the present paper proposes a facial micro-expression recognitio...
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Explainable artificial intelligence becomes vital for human users to understand and trust the decision-making process and results of machine learning methods. Unfortunately, most machine learning models are black-box ...
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