检索结果-内蒙古大学图书馆

Modified DS np Chart Using Generalized Multiple Dependent State Sampling under Time Truncated Life Test

computer Modeling in Engineering & sciences 2024年第3期138卷 2471-2495页

作者： Wimonmas Bamrungsetthapong Pramote Charongrattanasakul Division of Applied Statistics Department of Mathematics and Computer ScienceFaculty of Science and TechnologyRajamangala University of Technology ThanyaburiPathum Thani12110Thailand Division of Mathematics Department of Mathematics and Computer ScienceFaculty of Science and TechnologyRajamangala University of Technology KrungthepBangkok10120Thailand

This study presents the design of a modified attributed control chart based on a double sampling(DS)np chart applied in combination with generalized multiple dependent state(GMDS)sampling to monitor the mean life of the product based on the time truncated life test employing theWeibull *** control chart developed supports the examination of the mean lifespan variation for a particular product in the process of *** control limit levels are used:the warning control limit,inner control limit,and outer control ***,they enhance the capability for variation detection.A genetic algorithm can be used for optimization during the in-control process,whereby the optimal parameters can be established for the proposed control *** control chart performance is assessed using the average run length,while the influence of the model parameters upon the control chart solution is assessed via sensitivity analysis based on an orthogonal experimental design withmultiple linear regression.A comparative study was conducted based on the out-of-control average run length,in which the developed control chart offered greater sensitivity in the detection of process shifts while making use of smaller samples on average than is the case for existing control ***,to exhibit the utility of the developed control chart,this paper presents its application using simulated data with parameters drawn from the real set of data.

关键词： Modified DS np chart generalizedmultiple dependent state sampling time truncated life test Weibull distribution average run length average sample size

来源：评论

学校读者我要写书评

暂无评论

Privacy-preserving explainable AI: a survey

引用

science China(Information sciences) 2025年第1期68卷 23-56页

作者： Thanh Tam NGUYEN Thanh Trung HUYNH Zhao REN Thanh Toan NGUYEN Phi Le NGUYEN Hongzhi YIN Quoc Viet Hung NGUYEN School of Information and Communication Technology Griffith University School of Computer and Communication Sciences Ecole Polytechnique Federale de Lausanne Faculty of Mathematics and Computer Science University of Bremen Faculty of Information Technology HUTECH University Department of Computer Science Hanoi University of Science and Technology School of Electrical Engineering and Computer Science The University of Queensland

As the adoption of explainable AI(XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preserving model explanations. This article presents the first thorough survey about privacy attacks on model explanations and their countermeasures. Our contribution to this field comprises a thorough analysis of research papers with a connected taxonomy that facilitates the categorization of privacy attacks and countermeasures based on the targeted explanations. This work also includes an initial investigation into the causes of privacy leaks. Finally, we discuss unresolved issues and prospective research directions uncovered in our analysis. This survey aims to be a valuable resource for the research community and offers clear insights for those new to this domain. To support ongoing research, we have established an online resource repository, which will be continuously updated with new and relevant findings.

关键词： privacy-preserving explainable AI privacy attacks privacy defences PrivEx PPXAI

来源：评论

学校读者我要写书评

暂无评论

Detection and identification drones using long short-term memory and Bayesian optimization

引用

Multimedia Tools and Applications 2025年第14期84卷 13983-13999页

作者： El-Latif, Eman I. Abd Department of Mathematics and Computer Science Faculty of Science Benha University Benha Egypt

This paper proposed a model based on bidirectional Long Short-Term Memory (Bi-LSTM) and Bayesian optimization to detect different drones in different Scenarios. Six different drones in three distinct scenarios—cloudy, sunny, and evening—are included in the dataset. The three primary stages of the suggested model are pre-processing, hyper-parameter optimization, and classification phase. Images are resized, noise is reduced, and contrast is enhanced in the first step. The hyperparameter values are then chosen in the second step using Bayesian optimization. In the end, the proposed model is constructed with nine layers based on the Gated Recurrent Unit (GRU) and Bi-LSTM for classification. For the cloudy scenario, the model achieves 97.43% accuracy, 99.52% sensitivity, 92.79% specificity, 96.64% precision, and 98.06 F1-score. In addition, the sunny scenario achieves 93.87%in accuracy, 97.14% in sensitivity, 87.06% in specificity, 94% in precision, and 90.25 in F1_score. The final experiment in the evening scenario is 97.50% accuracy, 99.39% sensitivity, 93.90% specificity, and 96.89% precision. Comparative results are presented at the end of the paper, and it shows that the proposed model overcomes previous works that used the same dataset. © The Author(s) 2024.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

A multi-objective social-based algorithm for community detection

引用

Multimedia Tools and Applications 2025年 1-30页

作者： Farrokhpour Dizaj, Yousef Lotfi, Shahriar Hajipour, Javad Department of Computer Science Faculty of Mathematics Statistics and Computer Science University of Tabriz Tabriz Iran

The detection of community structures in complex networks has garnered significant attention in recent years. Given its NP-hardness, numerous evolutionary optimization-based approaches have been proposed. However, there is still a need for improvement, since no previous method has been able to find the true community structure on all benchmark networks. In this paper, we propose a multi-objective approach based on the social-based algorithm (SBA). SBA is a hybrid of the imperialist competitive algorithm and the standard evolutionary algorithm. SBA has demonstrated remarkable performance in finding optimal solutions and can effectively identify correct community structures. In our method, instead of a single solution, a set of non-dominated solutions is produced, each representing a different compromise between the objective functions. To evaluate the performance of the proposed algorithm, various tests were conducted on synthetic and real-world datasets. The results of experiments on several social network benchmarks show up to a 57% improvement on benchmark networks compared to previous works. This indicates that the proposed algorithm performs well in community detection. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Consensus algorithm

来源：评论

学校读者我要写书评

暂无评论

Credit card fraud detection using hybridization of isolation forest with grey wolf optimizer algorithm

引用

Soft Computing 2024年第17-18期28卷 10215-10233页

作者： Tabrizchi, Hamed Razmara, Jafar Department of Computer Science Faculty of Mathematics Statistics and Computer Science University of Tabriz Tabriz Iran

During recent decades, using credit cards represents a pivotal part of the financial lifeline. Credit cards and online payment gateways are vital elements in the world of world-wide-web. Given the fact that credit cards play an essential role in today's society, the misuse of these cards will lead to significant damages. One of the common ways to deal with these possible damages is using anomaly detection systems. These systems aim to take account of changes in customer and fraudsters’ behavior to detect anomaly patterns. In the current study, we present a model namely IF-GWO to learn fraudulent patterns through analyzing past transactions. The method employs a novel ensemble learning method using isolation forest (IF) and Grey Wolf Optimizer (GWO). The experimental results indicate the priority of our presented fraud-detection system based on a noticeable number of credit card account transactions. Compared to the conventional model used for anomaly detection, the proposed model can detect more fraud accounts with fewer false positives over comparative procedures. Based on a comparison with other models using the dataset contains 284,807 transactions that are made by European cardholders, the proposed model outperformed the other approaches and achieved the highest performance in terms of F-Measure (93.52%), Area under receiver operating characteristic curve (AUC) (94.17%), and G-means (94.10%). © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

A biological-like synthesis framework for software engineering environments

引用

International Journal of computers and Applications 2024年第4期46卷 208-217页

作者： Sophatsathit, Peraphon Department of Mathematics and Computer Science Faculty of Science Chulalongkorn University Bangkok Thailand

This research proposes a Biological-like Architecture for Software Systems (BASS) that make up of software components. The design principle is to mimic the simplicity of uni-cellular life form as fixed-sized blocks linearly arranged as a flat array so that all references to those components can be reached directly. Each component holds its attributes and operations to permit self-execution without external support. Like living cells, this autonomy is modeled to be short-lived that undergoes a three-stage life cycle, namely, creation, sustainment, and cessation. This cycle must run to completion within a predefined Time-To-Live (TTL) limit. When the time limit of an existing component expires, a new component is created to replace in situ to conserve system energy and overhead. A simulation is conducted to test the operating characteristics of this three-stage life cycle under the time limit. The results reveal that component replacement in situ is practically viable. It is envisioned that BASS will offer an energy-efficient environment that can alleviate software systems resource utilization considerably. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Life cycle

来源：评论

学校读者我要写书评

暂无评论

A secret sharing scheme based on integer decomposition and hexagonal structure

引用

International Journal of Information and Communication technology 2024年第4期24卷 482-501页

作者： Rouia, Zender Lemnouar, Noui Rida, Abdessemed Mohamed LAMIE Laboratory Department of Computer Science Faculty of Mathematics and Computer Science University of Batna 2 Algeria

Security is a major challenge in storage and transmission of digital data. Secret sharing scheme is a fundamental primitive used in multiparty computations, access control and key management, which is based here on two concepts, namely: hexagonal structure and integer decomposition. Use of hexagonal structure is common in biological modelling. For integer decomposition, the oldest known method is Fermat’s factorisation, while for the proposed decomposition, the factorisation uniqueness of positive integer into two factors is exploited. Experimental results obtained from the applied scheme to digital images reveal interesting properties;this scheme turns out to be lossless, ideal, flexible, extensible, and even can detect and identify cheater;in sum, it has a good security. © 2024 Inderscience Enterprises Ltd.

关键词： Factorization

来源：评论

学校读者我要写书评

暂无评论

AI: the future of humanity

引用

Discover Artificial Intelligence 2024年第1期4卷 25页

作者： Rawas, Soha Faculty of Science Department of Mathematics and Computer Science Beirut Arab University Beirut Lebanon

Artificial intelligence (AI) is reshaping humanity's future, and this manuscript provides a comprehensive exploration of its implications, applications, challenges, and opportunities. The revolutionary potential of AI is investigated across numerous sectors, with a focus on addressing global concerns. The influence of AI on areas such as healthcare, transportation, banking, and education is revealed through historical insights and conversations on different AI systems. Ethical considerations and the significance of responsible AI development are addressed. Furthermore, this study investigates AI's involvement in addressing global issues such as climate change, public health, and social justice. This paper serves as a resource for policymakers, researchers, and practitioners understanding the complex link between AI and humans. © The Author(s) 2024.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Transforming healthcare delivery: next-generation medication management in smart hospitals through IoMT and ML

引用

Discover Artificial Intelligence 2024年第1期4卷 31页

作者： Rawas, Soha Faculty of Science Department of Mathematics and Computer Science Beirut Arab University Beirut Lebanon

The management of medications is a crucial component of healthcare, and pharmaceutical errors can have detrimental effects on patients, healthcare professionals, and healthcare systems. By utilizing patient-specific data and cutting-edge technology like the Internet of Medical Things (IoMT) and machine learning, customized drug management systems have the potential to increase patient safety and healthcare effectiveness. In this study, we reviewed a large body of literature on the subject of medication management in healthcare and the potential advantages of personalized medication management. We then assessed how IoMT and machine learning might be used to enhance medication management in smart hospitals. Then, we created a framework for assessing how personalized medication management utilizing IoMT and machine learning affects patient safety and healthcare effectiveness. Our study's findings demonstrate that in smart hospitals, tailored medication management with IoMT and machine learning can drastically lower medication errors while also enhancing patient safety and healthcare effectiveness. Our findings have important ramifications for the future of medication administration in smart hospitals, and we advise healthcare professionals and policymakers to give priority to integrating cutting-edge technology like IoMT and machine learning for customized medication management. © The Author(s) 2024.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Systematic Literature Review for Optimization System with Advection-Diffusion-Reaction Non-Linear Equation in Water Quality

引用

IAENG International Journal of Applied mathematics 2024年第12期54卷 2541-2554页

作者： Suryana, Ino Chaerani, Diah Abdullah, Atje Setiawan Prabuwono, Anton Satria Muslihin, Khoirunnisa Rohadatul Aisy Irmansyah, Athaya Zahrani Department of Computer Sciences Faculty of Mathematics and Natural Science Universitas Padjadjaran Sumedang45363 Indonesia Department of Mathematics Faculty of Mathematics and Natural Science Universitas Padjadjaran Sumedang45363 Indonesia Department of Computer Sciences Faculty of Mathematics and Natural Science Universitas Padjadjaran Sumedang45363 Indonesia Department of Information Technology Faculty of Computing and Information Technology in Rabigh King Abdul Aziz University Saudi Arabia Faculty of Mathematics and Natural Science Universitas Padjadjaran Indonesia

Water quality is an essential component of environmental health and sustainability, including various parameters such as chemical, physical, and biological attributes. These parameters determine the suitability of water for consumption, recreation, and ecosystem health. Clean and safe water availability is a crucial foundation for human well-being, ecological balance, and sustainable development, indicating the need to monitor and control water quality to meet human demands. Based on the importance of water quality, this research aimed to provide a comprehensive overview of previous investigations related to the optimization system of the advection-diffusionreaction (ADR) non-linear equation in water quality. Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines were conducted to ensure a structured article selection, data extraction, and analysis approach. This was followed by presenting a bibliometric analysis of selected data to support the study of research trends. The results showed that using ADR non-linear equation systems in modeling water quality optimization was a potential area requiring further exploration. Moreover, this research provided valuable information that could be used as a reference for further investigation of water quality optimization. A future research design is also presented. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Advection-diffusion-reaction Optimization PRISMA Sustainable Development Goals (SDGs) Systematic literature review Water quality

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：