检索结果-内蒙古大学图书馆

Communications in computer and Information science 2019年 1059卷 vi页

作者： Cheng, Xiaohui Mao, Rui College of Computer Science and Software Engineering Shenzhen University Shenzhen China

来源：评论

学校读者我要写书评

暂无评论

The Effect of Chairman's Statement Tone Changes in Annual Reports from Hong Kong

引用

Journal of Physics: Conference Series 2019年第3期1168卷

作者： Junjie Li Wang Luo Xin Deng College of Computer Science and Software Engineering Shenzhen University Guangdong China

The tone captures how the leaders of listed company confidence to the performance and tone changes correlate with revisions of future outlook. Current predicting stock market behaviour is using numerous quantitative financial factors. Recent publications have demonstrated that some implied sentiment information such as tone changes in annual reports can be successfully used to predict the stock price in the U.S market. However, the investors' reflection to the tone changes in annual reports in Asia market, especially in Asian financial center Hong Kong, is still unknown. In this paper, the chairman's statement tone changes in annual reports from the Hong Kong market have been studied in the first time. This study evaluates three different tone changes methods and combing with financial indicators to predict the stock price. The experimental results prove that the tone changes of annual reports can predict the stock price in the long trend, which implies the low market efficiency in Hong Kong. Moreover, some experiments have been investigated whether the financial crisis can be predicted from the chairman's tone changes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Structural vulnerability of complex networks under multiple edge-based attacks 3

Structural vulnerability of complex networks under multiple ...

引用

3rd IEEE International Conference on Data science in Cyberspace, DSC 2018

作者： Wu, Xiaobo Li, Shudong Li, Aiping Zhou, Bin Tian, Zhihong Zhao, Dawei School of Software Engineering Yantai Vocational College Shandong Yantai264003 China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China School of Computer Science National University of Defense Technology Hunan Changsha410073 China Shandong Provincial Key Laboratory of Computer Network Shandong Computer Science Center Jinan250014 China

ISBN: (纸本)9781538642108

We investigate the structural vulnerability of complex networks under different edge-based attacks. The attacks are induced by removing a certain ratio of edges according to four kinds of weighting methods strategies introduced, which also can describe the characteristics of links. Two metrics (the relative size of the giant component in network, the average length of shortest path) are measured. The simulations demonstrate that, the edges with higher product of betweenness centrality of the two endpoints of one edge connected are more important for SF network, ER random network, autonomous system network(AS), Italy power grid and US airport networks, but the edges with higher edge betweenness centrality are more important for WS networks. Moreover, the edges with higher edge betweenness centrality for SF network and those with higher k-shell index for AS networks are also important. The findings highlight the identification of structural key links for protecting real-world networks. © 2018 IEEE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Deep learning driven interpretable and informed decision making model for brain tumour prediction using explainable AI

引用

Scientific reports 2025年第1期15卷 19223页

作者： Khan Muhammad Adnan Taher M Ghazal Muhammad Saleem Muhammad Sajid Farooq Chan Yeob Yeun Munir Ahmad Sang-Woong Lee Pattern Recognition and Machine Learning Lab Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13557 Republic of Korea. Department of Networks and Cybersecurity Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19111 Jordan. Chitkara University Institute of Engineering and Technology Chitkara University Rajpura Punjab 140401 India. Department of Cyber Security NASTP Institute of Information Technology Lahore 58810 Pakistan. Center for Secure Cyber-Physical Systems (C2PS) Computer Science Department Khalifa University Abu Dhabi United Arab Emirates. chan.yeun@ku.ac.ae. University College Korea University Seoul 02841 Republic of Korea. Pattern Recognition and Machine Learning Lab Faculty of Artificial Intelligence and Software Gachon University Seongnam-si 13557 Republic of Korea. slee@gachon.ac.kr.

Brain Tumours are highly complex, particularly when it comes to their initial and accurate diagnosis, as this determines patient prognosis. Conventional methods rely on MRI and CT scans and employ generic machine learning techniques, which are heavily dependent on feature extraction and require human intervention. These methods may fail in complex cases and do not produce human-interpretable results, making it difficult for clinicians to trust the model's predictions. Such limitations prolong the diagnostic process and can negatively impact the quality of treatment. The advent of deep learning has made it a powerful tool for complex image analysis tasks, such as detecting brain Tumours, by learning advanced patterns from images. However, deep learning models are often considered "black box" systems, where the reasoning behind predictions remains unclear. To address this issue, the present study applies Explainable AI (XAI) alongside deep learning for accurate and interpretable brain Tumour prediction. XAI enhances model interpretability by identifying key features such as Tumour size, location, and texture, which are crucial for clinicians. This helps build their confidence in the model and enables them to make better-informed decisions. In this research, a deep learning model integrated with XAI is proposed to develop an interpretable framework for brain Tumour prediction. The model is trained on an extensive dataset comprising imaging and clinical data and demonstrates high AUC while leveraging XAI for model explainability and feature selection. The study findings indicate that this approach improves predictive performance, achieving an accuracy of 92.98% and a miss rate of 7.02%. Additionally, interpretability tools such as LIME and Grad-CAM provide clinicians with a clearer understanding of the decision-making process, supporting diagnosis and treatment. This model represents a significant advancement in brain Tumour prediction, with the potential to enhance pat

关键词： Brain tumour CT scans MRI XAI

来源：评论

学校读者我要写书评

暂无评论

A Prediction of Grain Yield Based on Hybrid Intelligent Algorithm

引用

Journal of Physics: Conference Series 2020年第1期1591卷

作者： Ibrahim Ahmed Saleh Wasan Abdallah Alawsi Omar Ibrahim Alsaif Khalil Alsaif University Of Mosul Software Engineering Dept. Iraq University Of Al- Qadisiyah college Science Iraq Northern Technical University Mosul Technical Institute Iraq University of Mosul Computer Science Dept. Iraq

The prediction is most important goals in economic quantitative studies, it basis in design and plan future economic policies properly process over forecasting accuracy. This paper is aiming at the problem salp swarm algorithm (SSA) for predicting grain yield is prone to fall into the local optimal problem. An improved SSA is proposed with combine with back propagation neural network. Using the different advantages of SSA algorithm in global search capabilities, combining the two for further optimize the weight, improve the accuracy and robustness of the grain yield prediction model. The specific implementation is selected from 1963 to 2013. These methods are used to define agricultural datasets that supports crop growth decision for grain product and its influencing factors were tested as a data set. The results show that, the improved salp swarm optimization can be classified as a good predict tool for the domestic food production trend in recent years compared with the SSA. This paper briefly introduces three artificial methods BP neural networks, SSA and improved SSA optimization algorithm. The natural behavior of salp, barrel-shaped plankton that are mostly water by weight optimization and combined with mixed-group of intelligent algorithm are simulated. The simulation results of grain production prediction illustrate that the predict precision of the improved SSA is much higher than of both conventional BPNN and SSA techniques and it's very efficient and practicable.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Learning-based Prediction of Packet Loss Artifact Visibility in Networked Video

Learning-based Prediction of Packet Loss Artifact Visibility...

引用

International Workshop on Quality of Multimedia Experience, QoMEx

作者： Jari Korhonen College of Computer Science and Software Engineering Shenzhen University Shenzhen P.R. China

This In this paper, we study the problem of detecting packet loss distortion and estimating the perceived visibility of such distortion in decoded video. Our analysis is based on the features of the decoded video signal, and we assume that no information about actual packet losses is available from the underlying network or video decoder. First, we present a full-reference method for assessing packet loss visibility at the macroblock, frame and sequence levels. Second, we propose a no-reference method for detecting defected frames, based on spatiotemporal features and machine learning. Experimental results show that the proposed no-reference method achieves a high correlation with the full-reference method at both sequence and frame level. At sequence level, the no-reference method can also predict the subjective quality ratings at high accuracy.

关键词： Packet loss Distortion Streaming media Indexes Video recording Quality assessment

来源：评论

学校读者我要写书评

暂无评论

Subjective Assessment of Post-Processing Methods for Low Light Consumer Photos

Subjective Assessment of Post-Processing Methods for Low Lig...

引用

International Workshop on Quality of Multimedia Experience, QoMEx

作者： Linlin Bie Xu Wang Jari Korhonen College of Computer Science and Software Engineering Shenzhen University Shenzhen P.R. China

Consumer photos taken in low light conditions often suffer from substantial undesired capture artifacts, such as shakiness and sensor noise. In this paper, we use rank ordering method to assess the subjective preferences among different postprocessing methods used to alleviate capture artifacts. The results show that most users prefer sharpened photos, even in the presence of substantial sensor noise. However, there are also systematic differences in individual preferences between users. Therefore, user preferences need to be considered in addition to the image characteristics, when selecting the post-processing algorithms and parameters for photo quality enhancement.

关键词： Quality assessment Measurement Smart phones Noise reduction Cameras Systematics Image resolution

来源：评论

学校读者我要写书评

暂无评论

Generating subgraphs in chordal graphs

arXiv

引用

arXiv 2018年

作者： Levit, Vadim E. Tankus, David Department of Computer Science Ariel University Israel Department of Software Engineering Sami Shamoon College of Engineering Israel

A graph G is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function w is defined on its vertices. Then G is w-well-covered if all maximal independent sets are of the same weight. For every graph G, the set of weight functions w such that G is w-well-covered is a vector space, denoted WCW(G). Let B be a complete bipartite induced subgraph of G on vertex sets of bipartition BX and BY . Then B is generating if there exists an independent set S such that S BX and S BY are both maximal independent sets of G. In the restricted case that a generating subgraph B is isomorphic to K1,1, the unique edge in B is called a relating edge. Generating subgraphs play an important role in finding WCW(G). Deciding whether an input graph G is well-covered is co-NP-complete. Hence, finding WCW(G) is co-NP-hard. Deciding whether an edge is relat-ing is NP-complete. Therefore, deciding whether a subgraph is generating is NP-complete as well. A graph is chordal if every induced cycle is a triangle. It is known that finding WCW(G) can be done polynomially in the restricted case that G is chordal. Thus recognizing well-covered chordal graphs is a polynomial problem. We present a polynomial algorithm for recognizing relating edges and generating subgraphs in chordal *** Codes 05C69 (Primary) 05C85 (Secondary) Copyright © 2018, The Authors. All rights reserved.

关键词： Vector spaces

来源：评论

学校读者我要写书评

暂无评论

Improving IoT Services in Smart-Home Using Blockchain Smart Contract

Improving IoT Services in Smart-Home Using Blockchain Smart ...

引用

IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom) Green Computing and Communications (GreenCom)

作者： Yiyun Zhou Meng Han Liyuan Liu Yan Wang Yi Liang Ling Tian Graduate College Kennesaw State University College of Computing and Software Engineering Kennesaw State University Department of Computer Science Georgia State University College of Computer Science and Engineering University of Electronic Science and Technology of China

The Internet of Things (IoT) global market is growing significantly fast in recent years, from a wearable small watch to a giant airplane. The Smart-home is one of the most popular applications which can improve the resident's life quality. However, the security and privacy issues of homeowner bring emerging challenges while more and more data are collecting and sharing by the instances of different IoT devices within the Smart-home. Confront the challenge, an emerging charming technology blockchain provides a private, secure, and decentralized mechanism for the data usage. But, there are still many challenges for the application of blockchain such as the efficiency, storage, and energy cost, etc. This paper proposes IoT architecture in Smart-home environment based on blockchain and smart contract with the comprehensive consideration of the primary challenges. Our approach exemplifies the three core components in Smart-home: smart contract, private blockchain, and public blockchain. Each Smart-home contains their unique private chain. We present the application scenarios in our architecture and discuss the principles of blockchain smart contract application for Smart-home.

关键词： Internet of Things Green computing Social computing Blockchain Information technology Integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Recognizing generating subgraphs revisited

arXiv

引用

arXiv 2018年

作者： Levit, Vadim E. Tankus, David Department of Computer Science Ariel University Israel Department of Software Engineering Sami Shamoon College of Engineering Israel

A graph G is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function w is defined on its vertices. Then G is w-well-covered if all maximal independent sets are of the same weight. For every graph G, the set of weight functions w such that G is w-well-covered is a vector space, denoted as WCW(G). Deciding whether an input graph G is well-covered is co-NP-complete. Therefore, finding WCW(G) is co-NP-hard. A generating subgraph of a graph G is an induced complete bipartite subgraph B of G on vertex sets of bipartition BX and BY, such that each of SBX and SBY is a maximal independent set of G, for some independent set S. If B is generating, then w(BX)=w(BY) for every weight function w∈ WCW (G). Therefore, generating subgraphs play an important role in finding WCW(G). The decision problem whether a subgraph of an input graph is generating is known to be NP-complete. In this article, we prove NP-completeness of the problem for graphs without cycles of length 3 and 5, and for bipartite graphs with girth at least 6. On the other and, we supply polynomial algorithms for recognizing generating subgraphs and finding WCW(G), when the input graph is bipartite without cycles of length 6. We also present a polynomial algorithm which finds WCW(G) when Gdoes not contain cycles of lengths 3, 4, 5, and *** Codes 05C69 (Primary) 05C85 (Secondary) Copyright © 2018, The Authors. All rights reserved.

关键词： Graph theory

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：