检索结果-内蒙古大学图书馆

A novel collocation method with a coronavirus optimization algorithm for the optimal control of COVID-19: A case study of Wuhan, China

引用

Computers in Biology and Medicine 2024年 178卷 108680-108680页

作者： Khanduzi, Raheleh Jajarmi, Amin Ebrahimzadeh, Asiyeh Shahini, Mehdi Department of Mathematics and Statistics Gonbad Kavous University P.O. Box 49717-99151 Gonbad Kavous Iran Department of Electrical Engineering University of Bojnord P.O. Box 94531-1339 Bojnord Iran Department of Mathematics Education Farhangian University P.O. Box 14665-889 Tehran Iran

In this study, we develop a numerical optimization approach to address the challenge of optimal control in the spread of COVID-19. We evaluate the impact of various control strategies aimed at reducing the number of exposed and infectious individuals. Our novel approach employs Legendre wavelets, their derivative operational matrix, and a collocation method to transform the COVID-19 transmission optimal control model into a nonlinear programming (NLP) problem. To solve this problem, we employ a coronavirus optimization algorithm (COVIDOA) to determine the optimal control, state variables, and objective value. We investigate three control plans for this highly contagious disease, focusing on individual protection, rapid detection and treatment, detection with delay in treatment, and environmental viral dispersion as time-based control functions. These strategies are applied within an SEIR-type control model specific to COVID-19 in China, designed to mitigate disease spread. Lastly, we analyze the effects of various parameters within the COVID-19 spread model. Our numerical results highlight the significant impact of strategies that minimize the number of exposed and infectious individuals, particularly those related to rapid detection, detection delay, and environmental viral dispersion, in controlling and preventing the transmission of the COVID-19 virus. © 2024 Elsevier Ltd

关键词： Coronavirus

来源：评论

学校读者我要写书评

暂无评论

DaISy: diffuser-aided sub-THz imaging system

引用

Optics Express 2024年第7期32卷 11092-11106页

作者： Shao-Hsuan, W.U. Zhang, Yiyao Chen, Ke Shang-Hua, Yang Institute of Electronics Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Mathematical Sciences University of Liverpool LiverpoolL69 7ZL United Kingdom Centre for Mathematical Imaging Techniques University of Liverpool LiverpoolL69 7ZL United Kingdom Department of Mathematics and Statistics University of Strathclyde GlasgowG1 1XH United Kingdom Department of Electrical Engineering National Tsing Hua University Hsinchu30013 Taiwan Terahertz Optics and Photonics Center National Tsing Hua University Hsinchu30013 Taiwan

Sub-terahertz (Sub-THz) waves possess exceptional attributes, capable of penetrating non-metallic and non-polarized materials while ensuring bio-safety. However, their practicality in imaging is marred by the emergence of troublesome speckle artifacts, primarily due to diffraction effects caused by wavelengths comparable to object dimensions. In addressing this limitation, we present the Diffuser-aided sub-THz Imaging System (DaISy), which utilizes a diffuser and a focusing lens to convert coherent waves into incoherent counterparts. The cornerstone of our progress lies in a coherence theory-based theoretical framework, pivotal for designing and validating the THz diffuser, and systematically evaluating speckle phenomena. Our experimental results utilizing DaISy reveal substantial improvements in imaging quality and nearly diffraction-limited spatial resolution. Moreover, we demonstrate a tangible application of DaISy in the scenario of security scanning, highlighting the versatile potential of sub-THz waves in miscellaneous fields. © 2024 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Imaging systems

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Network Approach for Sentiment Analysis of GoFood Services

Convolutional Neural Network Approach for Sentiment Analysis...

引用

Computer Sciences, engineering, and Technology Innovation (ICoCSETI), International Conference on

作者： Zaenal Abidin Adzqi Aulia Ryan Randy Suryono Permata Akmal Junaidi Wamiliana Wamiliana Doctoral Program of Mathematics and Natural Sciences Universitas Lampung Bandarlampung Indonesia Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia Department of Computer Science Universitas Lampung Bandarlampung Indonesia Department of Mathematics Universitas Lampung Bandarlampung Indonesia

ISBN: (数字)9798331508616

ISBN: (纸本)9798331508623

In the age of swift digital advancement, social media has emerged as a vital and readily available information source for users. Individuals utilize social media to communicate, articulate thoughts, and disseminate their viewpoints, both textually and visually. Twitter is a social media platform that people extensively utilize to disseminate both favorable and unfavorable information regarding GoFood services. This study intends to apply the Convolutional Neural Network (CNN) algorithm within the GoFood service on Twitter. This research also seeks to assess the accuracy of the CNN algorithm in relation to GoFood services. Employing deep learning techniques, particularly the convolutional neural network algorithm, to analyze Twitter user sentiment can enhance the efficiency, accuracy, and simplicity of classifying answers to GoFood services. The findings indicated that the Convolutional Neural Network technique was effectively employed to classify positive, negative, and neutral feelings. The optimal accuracy rate was attained through preprocessing with Stemming, yielding 51% accuracy for multiclass classification and 72% for binary class classification. The accuracy percentage for classification without stemming was 49% for multiclass classification and 70% for binary classification. This research holds possible consequences for Gojek firms and can serve as evaluative and assessment material for GoFood services, enabling them to implement necessary corrective measures.

关键词： Sentiment analysis Accuracy Social networking (online) Convolution Blogs Text categorization Feature extraction Classification algorithms Convolutional neural networks Testing

来源：评论

学校读者我要写书评

暂无评论

ARITHMETIC PROPERTIES OF 2α−REGULAR OVERPARTITION PAIRS

arXiv

引用

arXiv 2025年

作者： Hemanthkumar, B. Bharadwaj, H.S. Sumanth Department of Mathematics RV College of Engineering RV Vidyanikethan Post Mysuru Road Karnataka Bengaluru560 059 India Department of Mathematics and Statistics M. S. Ramaiah University of Applied Sciences RTC Campus Peenya Karnataka Bengaluru560 058 India

Recently, several mathematicians have investigated various partition functions with the goal of discovering Ramanujan-type congruences. One such function is B2α (n), which represents the number of 2α−regular overpartition pairs of n. In this context, we establish Ramanujan-type congruences modulo powers of 2 for this function. For instance, we prove that B2α (2α+β+1(n + 1)) ≡ 0 (mod 23β+5) for all n, β ≥ 0, α ∈ *** Codes 05A17, 11P83 (Primary) © 2025, CC BY-NC-ND.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Riemannian geometric approach to optimal binocular rotation,pyramid based interpolation and bio-mimetic pan-tilt movement

引用

Autonomous Intelligent Systems 2021年第1期1卷 13-31页

作者： Bijoy KGhosh Bhagya Athukorallage Department of Mathematics and Statistics Texas Tech UniversityLubbockTexas 79409-1042USA School of Automation Engineering University of Electronic Science and Technology of ChinaChengduSichuan 610054China

Over the past several years,we have been studying the problem of optimally rotating a rigid sphere about its center,where the rotation is actuated by a triplet of external torques acting on the *** control objective is to repeatedly direct a suitable radial vector,called the gaze vector,towards a stationary point target in R^(3).The orientation of the sphere is constrained to lie in a suitable submanifold of SO(3).Historically,the constrained rotational movements were studied by physiologists in the nineteenth century,interested in eye and head *** this paper we revisit the gaze control problem,where two visual sensors,are tasked to simultaneously stare at a point target in the visual *** target position changes discretely and the problem we consider is how to reorient the gaze directions of the sensors,along the optimal pathway of the human eyes,to the new location of the *** is done by first solving an optimal control problem on the human binocular ***,we use these optimal control and show that a pan-tilt system can be controlled to follow the gaze trajectory of the human eye requiring a nonlinear static feedback of the pan and tilt angles and their *** problem formulation uses a new Riemannian geometric description of the orientation *** paper also introduces a new,pyramid based interpolation method,to implement the optimal controller.

关键词： Binocular vision Riemannian geometry Optimal control Pyramid based interpolation Bio-Mimetic Pan-Tilt rotation

来源：评论

学校读者我要写书评

暂无评论

Fluoride Ion Menace in Drinking Water: A Case Study of Machakos and Kajiado Counties in Kenya

SSRN

引用

SSRN 2024年

作者： Jeptoo, Mercy Okello, Veronica Achieng Maghanga, Justin Kambale Alunda, Bernard Ouma Department of Mining & Mineral Processing Engineering Mines & Engineering Taita Taveta University Kenya Department of Physical Sciences Machakos University Kenya Department of Mathematics Statistics & Physical Sciences Taita Taveta University Kenya

Various studies carried out in Kenya over the last 40 years, indicated very high levels of fluoride in drinking water, with a prevalence in dental fluorosis observed in children and adults living in Rift valley and central regions due to basaltic and volcanic rocks. Recently, this trend has been observed in regions such as Nairobi and Machakos which were initially presumed to contain low fluoride levels. This study sought to analyze the presence of fluoride ions in drinking water samples collected from twenty-nine (29) groundwater and tap water samples in Machakos and Kajiado Counties. Physicochemical properties such as pH, turbidity, conductivity, total hardness, fluoride (F-), Chloride (Cl-), Sulphate (SO42-), and nitrates (NO3-) were analyzed. The maximum value for fluorides in Kajiado and Machakos Counties were 7.5 mg/L and 4.25 mg/L respectively. These values are very high in comparison to the limits of 1.5 mg/L for fluorides stipulated by World Health Organization (WHO) and Kenya Bureau of Standards (KEBS). The results indicated that the sampled waters were mostly polluted with fluorides, chlorides and nitrates. Based on the findings of this study, continuous monitoring of groundwater resources should be done in order to obtain sufficient data for water quality control and improvement. © 2024, The Authors. All rights reserved.

关键词： Volcanic rocks

来源：评论

学校读者我要写书评

暂无评论

CFD-DRIVEN TOPOLOGY OPTIMIZATION FOR PERSONALIZED INTRACRANIAL ANEURYSM IMPLANT DESIGN

CFD-DRIVEN TOPOLOGY OPTIMIZATION FOR PERSONALIZED INTRACRANI...

引用

ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Lei, Weijun Sadasivan, Chander Gu, Xianfeng David Chen, Shikui Department of Mechanical Engineering State University of New York at Stony Brook Stony BrookNY11794 United States Department of Neurological Surgery Stony Brook University Medical Center Stony BrookNY11794 United States Department of Computer Science Department of Applied Mathematics and Statistics State University of New York at Stony Brook Stony BrookNY11794 United States

ISBN: (纸本)9780791888377

Intracranial aneurysm rupture causes life-threatening subarachnoid hemorrhage. Current endovascular devices like coils, flow diverters, and intravascular implants aim to thrombose the aneurysm but have limitations and varying success rates depending on aneurysm characteristics. We propose a new computational framework integrating CFD and topology optimization to design personalized aneurysm implants. The optimization problem aims to reduce blood flow velocity within the aneurysm while ensuring adequate structural integrity of the implant. The fluid dynamics are governed by the Navier-Stokes equations, while the solid mechanics are described by the linear elasticity equations. A Darcy-Brinkman model is employed to simulate flow through the porous implant in the fluid domain, while the Solid Isotropic Material with Penalization (SIMP) method is used to interpolate between solid and void regions in the structural domain during topology optimization. The objective combines fluid energy dissipation ratio and solid strain energy with spatially varying weights. Global and local volume constraints generate personalized implants with porosity and flow-diverting architectures. The approach is demonstrated on patient-specific aneurysm geometries from rotational angiography. This CFD-driven topology optimization method enables personalized aneurysm implant design to potentially improve occlusion rates and reduce complications compared to current devices. Further studies will validate the optimized designs and investigate their efficacy in vitro and in vivo. Copyright © 2024 by ASME.

关键词： Navier Stokes equations

来源：评论

学校读者我要写书评

暂无评论

Learning a Sparse Neural Network using IHT

Learning a Sparse Neural Network using IHT

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Saeed Damadi Soroush Zolfaghari Mahdi Rezaie Jinglai Shen Department of Mathematics and Statistics University of Maryland Baltimore County (UMBC) Baltimore USA Department of Computer Engineering Isfahan University of Technology Isfahan Iran Department of Computer Engineering Amirkabir University of Technology Tehran Iran

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

The core of a good model is in its ability to focus only on important information that reflects the basic patterns and consistencies, thus pulling out a clear, noise-free signal from the dataset. This necessitates using a simplified model defined by fewer parameters. The importance of theoretical foundations becomes clear in this context, as this paper relies on established results from the domain of advanced sparse optimization, particularly those addressing nonlinear differentiable functions. The need for such theoretical foundations is further highlighted by the trend that as computational power for training NNs increases, so does the complexity of the models in terms of a higher number of parameters. In practical scenarios, these large models are often simplified to more manageable versions with fewer *** why these simplified models with less number of parameters remain effective raises a crucial question. Understanding why these simplified models with fewer parameters remain effective raises an important question. This leads to the broader question of whether there is a theoretical framework that can clearly explain these empirical observations. Recent developments, such as establishing necessary conditions for the convergence of iterative hard thresholding (IHT) to a sparse local minimum—a sparse method analogous to gradient descent, are promising. The IHT algorithm’s remarkable capacity to accurately identify and learn the locations of nonzero parameters underscores its practical effectiveness and *** paper aims to investigate whether the theoretical prerequisites for such convergence are applicable in the realm of neural network (NN) training by providing justification for all the necessary conditions for convergence. Then, these conditions are validated by experiments on a single-layer NN, using the IRIS dataset as a testbed. Our empirical results demonstrate that convergence conditions can be reliably ensured during the traini

关键词： Training Iris Computational modeling Artificial neural networks Reliability theory Market research Iterative algorithms

来源：评论

学校读者我要写书评

暂无评论

Generated admissible orders for intervals by matrices and continuous functions

引用

Information Sciences 2024年 659卷

作者： Wu, Xinxing Chen, Shyi-Ming Zhang, Xu School of Mathematics and Statistics Guizhou University of Finance and Economics Guizhou Guiyang550025 China Zhuhai College of Science and Technology Guangdong Zhuhai519041 China Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Mathematics Shandong University Weihai264209 China

In this paper, we systematically study the algebraic structures of the spaces L([0,1]), encompassing all closed subintervals of [0,1], under the generated admissible orders. We first prove that the admissible order on L([0,1]) generated by a non-degenerate matrix must be the form of two weighted averaging operators. As a corollary, we deduce that each admissible order on L([0,1]) generated by a non-degenerate matrix and the standard order ≤ on [0,1] are not isomorphic. Furthermore, we show that each admissible order on L([0,1]) derived from two continuous mappings and the standard order ≤ on [0,1] are not isomorphic, partially answering a conjecture proposed by Santana et al. (2020) [38]. Besides, we prove that L([0,1]) is a complete lattice under the admissible order generated by two continuous mappings. This is the first result regarding the completeness of L([0,1]). Finally, we apply the admissible orders to solve a minimal path problem within the context of interval-valued fuzzy weighted graph. The above results theoretically refine the study of the classification, non-isomorphism, and completeness of admissible orders, while expanding the scope of interval-valued fuzzy sets in practical applications. © 2023 Elsevier Inc.

关键词： Matrix algebra

来源：评论

学校读者我要写书评

暂无评论

An investigation of machine learning algorithms and data augmentation techniques for diabetes diagnosis using class imbalanced BRFSS dataset

引用

Healthcare Analytics 2024年 5卷 100297-100297页

作者： Chowdhury, Mohammad Mihrab Ayon, Ragib Shahariar Hossain, Md Sakhawat Department of Mathematics and Statistics Texas Tech University Lubbock TX United States Department of Electronics and Telecommunication Engineering Rajshahi University of Engineering and Technology Rajshahi Bangladesh

Diabetes is a prevalent chronic condition that poses significant challenges to early diagnosis and identifying at-risk individuals. Machine learning plays a crucial role in diabetes detection by leveraging its ability to process large volumes of data and identify complex patterns. However, imbalanced data, where the number of diabetic cases is substantially smaller than non-diabetic cases, complicates the identification of individuals with diabetes using machine learning algorithms. This study focuses on predicting whether a person is at risk of diabetes, considering the individual's health and socio-economic conditions while mitigating the challenges posed by imbalanced data. We employ several data augmentation techniques, such as oversampling (Synthetic Minority Over Sampling for Nominal Data, ***-N), undersampling (Edited Nearest Neighbor, i.e. ENN), and hybrid sampling techniques (SMOTE-Tomek and SMOTE-ENN) on training data before applying machine learning algorithms to minimize the impact of imbalanced data. Our study sheds light on the significance of carefully utilizing data augmentation techniques without any data leakage to enhance the effectiveness of machine learning algorithms. Moreover, it offers a complete machine learning structure for healthcare practitioners, from data obtaining to machine learning prediction, enabling them to make informed decisions. © 2023 The Author(s)

关键词： Behavioral Risk Factor Surveillance System (BRFSS) Classification Diabetes Imbalanced data Machine learning Nominal data Sampling

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：