检索结果-内蒙古大学图书馆

Sustainable Expert Systems (ICSES), International Conference on

作者： Mukesh Kumar Tripathi Meka Ananya V.N.L.N Murthy Tumma Shashank Jale Subash Reddy Kaushal Attaluri Department of Computer Science & Engineering Vardhaman college of Engineering Hyderabad Department of Information Technology Vardhaman college of Engineering Hyderabad Software Engineer (Machine Learning/AI Team) Pegasystems Worldwide India Pvt Ltd Hyderabad

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540371

Breast cancer remains a significant health concern for women, and accurate prediction of recurrence is vital for effective treatment and improved outcomes. This research investigates the application of advanced ensemble learning techniques to enhance the reliability of breast cancer recurrence predictions. By combining Deep Neural Networks (DNN) and Artificial Neural Networks (ANN) with traditional machine learning methods, the proposed approach demonstrates significant improvements in accuracy, precision, sensitivity, specificity, F1-scores, and areas under the curve (AVCs). The study utilizes two breast cancer relapse datasets, UMCIO and WPBC, to evaluate the performance of the ensemble learning models. The results highlight the effectiveness of the proposed approach in accurately predicting breast cancer recurrence. This research contributes to the advancement of breast cancer diagnosis and treatment by providing a valuable tool for clinicians to assess the risk of recurrence and tailor treatment plans accordingly.

关键词： Deep learning Accuracy Sensitivity Artificial neural networks Predictive models Prediction algorithms Breast cancer Robustness Ensemble learning Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

Reflection-Optimized Covert Communication for Jammer-Aided Ambient Backscatter Systems

Reflection-Optimized Covert Communication for Jammer-Aided A...

引用

IEEE Conference on Global Communications (GLOBECOM)

作者： Yuanai Xie Tse-Tin Chan Xiao Zhang Pan Lai Haoyuan Pan College of Computer Science South-Central Minzu University Wuhan China Department of Mathematics and Information Technology The Education University of Hong Kong Hong Kong SAR China College of Computer Science and Software Engineering Shenzhen University Shenzhen China

The integration of Ambient Backscatter Communication (ABC) with covert communication is expected to support emerging Internet of Things (IoT) applications (e.g., Radio Frequency (RF)-powered networks) due to the need for low-cost connectivity and confidential transmission. In general, the purpose of covert communication is to hide the existence of the RF-powered wireless link to ensure the information security of the ABC link. However, the ABC link may have a high rate requirement, thus inevitably increasing the risk of information leakage. Hence, this paper considers jammer-aided endogenous covert communication, where an RF tag sends information covertly to an ABC receiver and exploits the jammer's Artificial Noise (AN) under the supervision of a warden-like legacy receiver. To obtain the maximum data rate of the backscatter link without being detected, we derive the minimum detection error rate of the warden and the outage probability of the backscatter link under random channel fading and the jammer's AN, respectively. Then, we optimize the tag's reflection coefficient to maximize its effective covert rate under the covert constraint based on the warden's mean detection error rate. Since the optimal reflection coefficient cannot be solved directly, monotonicity analyses of the objective and the constraint with respect to the reflection coefficient are adopted to achieve an efficient solution. Numerical results demonstrate the effectiveness of the optimized reflection coefficient for the jammer-aided system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Benchmark problems for CEC2021 competition on evolutionary transfer multiobjectve optimization

arXiv

引用

arXiv 2021年

作者： Liu, Songbai Lin, Qiuzhen Tan, Kay Chen Li, Qing Department of Computer Science City University of Hong Kong Hong Kong College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Computing The Hong Kong Polytechnic University Hong Kong

Evolutionary transfer multiobjective optimization (ETMO) has been becoming a hot research topic in the field of evolutionary computation, which is based on the fact that knowledge learning and transfer across the related optimization exercises can improve the efficiency of others. Besides, the potential for transfer optimization is deemed invaluable from the standpoint of human-like problem-solving capabilities where knowledge gather and reuse are instinctive. To promote the research on ETMO, benchmark problems are of great importance to ETMO algorithm analysis, which helps designers or practitioners to understand the merit and demerit better of ETMO algorithms. Therefore, a total number of 40 benchmark functions are proposed in this report, covering diverse types and properties in the case of knowledge transfer, such as various formulation models, various PS geometries and PF shapes, large-scale of variables, dynamically changed environment, and so on. All the benchmark functions have been implemented in JAVA code, which can be downloaded in the following website: https://***/songbai-liu/etmo. Copyright © 2021, The Authors. All rights reserved.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Wireless Sensing for Material Identification: A Survey

引用

IEEE Communications Surveys and Tutorials 2024年

作者： Chen, Yande Xu, Chongzhi Li, Kexin Zhang, Jia Guo, Xiuzhen Jin, Meng Zheng, Xiaolong He, Yuan Tsinghua University School of Software Beijing China Beijing University of Posts and Telecommunications School of Computer Science Beijing China Shanghai Jiao Tong University John Hopcroft Center for Computer Science Shanghai China Zhejiang University College of Control Science and Engineering Hangzhou China

As an application of fine-grained wireless sensing, RF-based material identification follows the paradigm of RF computing that fetches the information during RF signal propagation. Specifically, the RF signal accesses the objects' material-related information and carries the information with its electromagnetic properties. With a variety of important applications, research on RF-based material identification has gained significant progress in recent years. However, several fundamental problems remain insufficiently studied, such as the sensing models, signal processing approaches, performance and future extensions. This paper presents the first comprehensive survey of RF-based material identification. According to the basic sensing model used for sensing, we propose a taxonomy to classify the existing works into two categories: reflection-based and penetration-based. The works in each category are further grouped by the type of RF signals used, with elaborated discussion of the detailed approaches and the common challenges. We provide a framework that benchmarks the performance of the existing works, followed by a thorough discussion of future extensions. © 1998-2012 IEEE.

关键词： II-VI semiconductors

来源：评论

学校读者我要写书评

暂无评论

Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation

Multi-Source Data Integration-Based Urban Road GPS Environme...

引用

Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Liantao Ma Yasha Wang Guangju Peng Chaohe Zhang Chao Chen Junfeng Zhao Jiangtao Wang Key Laboratory of High Condence Software Technologies Ministry of Education Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China National Engineering Research Center of Software Engineering Peking University Beijing China College of Computer Science Chongqing University China School of Computing and Communications Lancaster University UK

ISBN: (数字)9781728140346

ISBN: (纸本)9781728140353

In urban areas, multipath errors may occur due to blockage and reflection of GPS signals by buildings, and significantly reduce the accuracy of GPS positioning. The degree to which the environment causes multipath errors and negatively impacts GPS accuracy is referred to as GPS Environment Friendliness (GEF) in this paper. The estimation of GEF helps location-based-service remind users to reduce the psychological expectation of GPS accuracy when they enter a poor GEF area. While existing studies estimate the GEF only based on the vehicle trajectory data, we propose a more efficient matrix completion-based approach that uses the historical bus trajectory data with the integration of the building layout information and road tag information. Based on one month GPS trajectory data of 4835 buses within the second ring road in Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.

关键词： Global Positioning System Roads Urban areas Trajectory Receivers Buildings Position measurement

来源：评论

学校读者我要写书评

暂无评论

An improved character segmentation algorithm based on local adaptive thresholding technique for Chinese NvShu documents

引用

Journal of Networks 2014年第6期9卷 1496-1501页

作者： Sun, Yangguang Cai, Zhihua College of Computer Science South-Central University for Nationalities Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China State Key Laboratory of Software Engineering Wuhan University College of Computer Science South-Central University for Nationalities Wuhan 430072 China

For the structural characteristics of Chinese NvShu character, by combining the basic idea in LLT local threshold algorithm and introducing the maximal betweenclass variance algorithm into local windows, an improved character segmentation algorithm based on local adaptive thresholding technique for Chinese NvShu documents was presented in this paper. Because of designing the corresponding correction parameters for the threshold and using secondary search mechanism, our proposed method could not only automatically obtain local threshold, but also avoid the loss of the character image information and improve the accuracy of the character image segmentation. Experimental results demonstrated its capability to reduce the effect of background noise, especially for Chinese NvShu character images with uneven illumination and low contrast. © 2014 Academy Publisher.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Enhancing Consistency in Container Migration via TEE: A Secure Architecture

Enhancing Consistency in Container Migration via TEE: A Secu...

引用

IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Qingyu Gao Liantao Song Yan Lei Feng Wang Lei Wang Shize Zong Yan Ding College of Computer Science National University of Defense Technology Changsha China School of Big Data and Software Engineering Chongqing University Chongqing China College of Computer Science and Electronic Engineering Hunan University Changsha China National Innovation Institution of Defense Technology AMS China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

Secure migration of multi-tenant containerized cloud servers is critical to maintaining the stability and security of cloud services. However, migrating applications across servers owned by different platforms introduces a range of security challenges. Recent research indicates that Trusted Execution Environments (TEEs) provide effective hardware-based isolation for containers, significantly enhancing data confidentiality and integrity. Despite these advancements, existing technologies still struggle to ensure consistency during the migration of container data. To address these issues, we propose a comprehensive security migration framework that defines the security properties required for container migration and introduces a software-based solution. This solution integrates several technologies, including a secure removal mechanism utilizing monotonic counters to prevent potential fork/rollback attacks and ensure the single-instance nature of migrated containers. Additionally, a two-phase commit-based pre-migration check mechanism is employed to maintain consistency among tightly coupled containers being migrated simultaneously on the same host. Safety analysis confirms the effectiveness of our proposed design, and performance evaluation indicates an additional overhead of approximately 7%.

关键词： Cloud computing Privacy Runtime Scalability Containers Stability analysis Safety Security Servers Virtualization

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Enhanced AI Security and Trust Through Auditable Decision-Making and Data Integrity in Modern Industry

Blockchain-Enhanced AI Security and Trust Through Auditable ...

引用

Innovations in High Speed Communication and Signal Processing (IHCSP), International Conference on

作者： Digantkumar N Parmar Sudharshan Putha Renato R. Maaliw Bhavani Prasad Kasaraneni Faheem Ahmad Reegu Haewon Byeon Department of Computer Engineering Silver Oak University Independent Researcher and Senior Software Developer at Salesforce USA College of Engineering Southern Luzon State University Lucban Philippines Independet Researcher USA Department of Electrical and Electronics Engineering College of Engineering and Computer Science Jazan University Ksa Department of AI and Software Inje University Gimhae Republic of Korea

ISBN: (数字)9798350368949

ISBN: (纸本)9798350368956

AI and blockchain can make companies safer and more trustworthy. AI can handle massive quantities of data and make complicated judgments, but its lack of clarity and reliance on centralized data present safety, accountability, and openness concerns. Blockchain ensures data is accurate, clear, and simple to track with its decentralized and unchangeable record. Blockchain can improve AI systems by making decision-making more open and safer for AI data. Blockchain protects AI model data from unauthorized changes. This prevents illicit alterations and improves AI accuracy. Blockchain's autonomy lets parties independently verify AI decision-making, which fosters confidence. This study examines blockchain's primary AI protections. These include open data storage, validated AI models, and trustworthy smart contracts that make decisions automatically. Real-world examples from healthcare, finance, and supply chain management show how blockchain-enhanced AI could address data breaches, algorithmic bias, and machine accountability. These findings demonstrate that adding blockchain to AI systems increases their trustworthiness and makes AI use in modern organizations safer and more open.

关键词： Accuracy Supply chain management Decision making Smart contracts Medical services Data models Blockchains Security Reliability Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Resource sharing models and heuristic load balancing methods for grid scheduling problems

引用

International Journal of Advancements in Computing Technology 2012年第9期4卷 315-322页

作者： Shu, Wanneng Ding, Lixin Wang, Shenwen College of Computer Science South-Central University for Nationalities Wuhan 430074 China State Key Lab of Software Engineering Wuhan University Wuhan 430072 China Computer School Wuhan University Wuhan 430072 China

Grid computing utilizes distributed heterogeneous resources to support large-scale or complicated computing tasks, and an appropriate resource scheduling algorithm is fundamentally important for the success of grid applications. Due to the complex and dynamic properties of grid environments, traditional model-based methods may result in poor scheduling performance in practice. In this paper, we propose a heuristic genetic load balancing algorithm. The implementation and simulation results indicate that our approaches can allocate jobs efficiently and effectively.

关键词： Grid computing

来源：评论

学校读者我要写书评

暂无评论

Face Recognition with Single Training Image per Person Based on Wavelet Transform and Virtual Information

Face Recognition with Single Training Image per Person Based...

引用

International Conference on Pervasive Computing Signal Processing and Applications (PCSPA)

作者： Yingnan Zhao Yan Ma Shiwei Ji School of Computer and Software Nanjing University of Information Science & Technology Nanjing China College of Physics Science & Information Engineering Jishou University Computer Science & Technology Jinshou China Nanjing University of Information Science and Technology Nanjing Jiangsu CN

One of the most challenging tasks for face recognition lies in the so-called one sample per person problem. Numerous face recognition techniques will suffer serious performance drop or even fail to work in this situation. To solving it, a method based on wavelet transform and virtual information (WV-based) is proposed in this paper. First, it performs the wavelet transform on face images, then it selects the lowest frequency part with less resolution and the major information comparing to the original. Second, it does small-angle rotation on the sample image to construct virtual samples. Finally, the PCA-based classify process is done. We use ORL face database to test our method and the experimental results show its practicality and efficiency.

关键词： Face recognition Wavelet transforms Face Training Accuracy Databases

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：