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Article
English letter recognition based on adaptive optimization spiking neural P systems
The novel dynamic guider algorithm within the adaptive optimization spiking neural P system (AOSNPS) framework is employed to create an innovative English letter recognition algorithm. This algorithm utilizes ...
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Article
Open AccessBi-DNE: bilayer evolutionary pattern preserved embedding for dynamic networks
Network embedding is a technique used to generate low-dimensional vectors representing each node in a network while maintaining the original topology and properties of the network. This technology enables a wi...
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Article
Open AccessCLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
Membrane computing is a type of parallel computing system (generally called P system) abstracted from information exchange mechanisms in biological cells, tissues, or neurons, which can process data in a distr...
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Article
The exact solutions of Schrödinger–Hirota equation based on the auxiliary equation method
The Schrödinger–Hirota equation are studied in light transmission, optical fiber communication, and nonlinear effects in optics. The auxiliary equation method is not only suitable for solving specific types of...
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Article
SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing
Semantic relatedness is one of the most significant aspects of natural language processing. It has been identified as a critical technology for develo** intelligent systems like Siri, Microsoft Ice, Cortana,...
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Article
DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition
Machines can be equipped with the capability of identifying human emotions through conversation, thus enabling them to empathize with natural persons when they speak to them. The emergence of chatbots and inte...
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Article
Deep reinforcement learning-based approach for rumor influence minimization in social networks
Spreading malicious rumors on social networks such as Facebook, Twitter, and WeChat can trigger political conflicts, sway public opinion, and cause social disruption. A rumor can spread rapidly across a networ...
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Article
A semantic and intelligent focused crawler based on semantic vector space model and membrane computing optimization algorithm
The focused crawler downloads web pages related to the given topic from the Internet. In many research studies, most of focused crawler predict the priority values of unvisited hyperlinks by integrating the to...
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Article
DNETC: dynamic network embedding preserving both triadic closure evolution and community structures
Network embedding, a central issue of deep learning preprocessing on social networks, aims to transform network elements (vertices) into low-dimensional latent vector space while preserving the topology and pr...
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Article
Open AccessA focused crawler based on semantic disambiguation vector space model
The focused crawler grabs continuously web pages related to the given topic according to priorities of unvisited hyperlinks. In many previous studies, the focused crawlers predict priorities of unvisited hyper...
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Article
Generalization-error-bound-based discriminative dictionary learning
Support vector guided dictionary learning, as a discriminative dictionary learning method combining with support vector machine (SVM), embodies the margin maximization principle and achieves good generalizatio...
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Article
NtCF: Neural Trust-Aware Collaborative Filtering Toward Hierarchical Recommendation Services
It is already certificated that collaborative filtering algorithms could alleviate such data sparsity and long tail distribution problems and provide high performance in item recommendation. However, high comp...
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Chapter and Conference Paper
ISWR: An Implicit Sentiment Words Recognition Model Based on Sentiment Propagation
Considering that there have no efficient methods to detect implicit sentiment words, this paper proposes an implicit sentiment words recognition model based on sentiment propagation to automatically identify i...
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Chapter and Conference Paper
Emotion Role Identification in Social Network
Emotion is a status that combines people’s feelings, thoughts, and behaviors and plays a crucial role in the communication between people. Considerable study suggests that human emotions can also be conveyed t...
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Article
OFNE: a framework of opinion features regulated network embedding
Network embedding technologies that transform the nodes of a network into a low-dimensional vector space have many various potential applications such as node classification, community detection and Internet p...
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Chapter and Conference Paper
Short Text Sentiment Analysis of Micro-blog Based on BERT
Micro-blog has become increasingly popular among the general public. It has brought a lot of comment text to researchers for its great convenience, timely updating, and a wide variety of self-focused topics. I...
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Chapter and Conference Paper
Detecting Temporal Sentiment-Oriented Difference for Crowdsourced Time-Sync Comments
Recently, with the rapid development of online shared media, a novel time-sync comment occurs. Time-sync comment is a type of crowdsourced user review embedded in online video website and provides better real-...
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Chapter and Conference Paper
Opinion Similarity Regulated Public Opinion Network Embedding
Develo** a highly efficient transformer from an embedding public opinion network into a low-dimensional vector space contributes a lot to many research areas such as vertex classification, community detectio...
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Chapter
The Concept and Connotation of Innovative Design
Design is the imagination and planning of human purposeful innovative practice. It is the forerunner of transforming information, knowledge, technology and creativity into products, technologies, equipment and...
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Chapter
Innovative Design Cases
In this chapter, it is hoped that by selecting several typical cases of innovative design, more Chinese enterprises will be inspired to explore the significance, methods and paths of innovative design, and the...
