检索结果-内蒙古大学图书馆

Efficient algorithms of box-constrained Nonnegative Matrix Factorization and its applications in image clustering

APPLIED NUMERICAL MATHEMATICS 2025年 208卷 176-188页

作者： Guo, Jie Li, Ting Wan, Zhong Li, Jiaoyan Xiao, Yamei Changsha Normal Univ Sch Math Sci Changsha 410111 Hunan Peoples R China Zhejiang Lab Res Ctr Data Hub & Secur Hangzhou 311121 Zhejiang Peoples R China Cent South Univ Sch Math & Stat Changsha 410083 Hunan Peoples R China Hunan Normal Univ Coll Life Sci Changsha 410081 Hunan Peoples R China

Nonnegative Matrix Factorization (NMF) provides an important approach of unsupervising learning, but it faces computational challenges when applied into clustering of high-dimensional datasets. In this paper, a class of novel nonmonotone gradient-descent algorithms are developed for solving box-constrained NMF problems. Unlike existing algorithms in the literature that update each matrix factor individually by fixing another one, our algorithms simultaneously update the paired matrix factors by leveraging adaptive projected Barzilai-Borwein directions and appropriate step sizes generated by the developed nonmonotone line search rules. Theoretically, it is proved that the developed algorithms are well defined and globally convergent. Extensive numerical tests on public image datasets demonstrate that the developed algorithms in this paper outperform the state-of-the-art ones, in terms of clustering performance, computational efficiency, and robustness of mining noisy data.

关键词： Image clustering Optimization modeling algorithms Nonnegative Matrix Factorization

来源：评论

学校读者我要写书评

暂无评论

Efficient Approximation Quality Computation for Sandwiching algorithms for Convex Multicriteria Optimization

引用

JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS 2025年第3期204卷 1-21页

作者： Lammel, Ina Kuefer, Karl-Heinz Suess, Philipp Fraunhofer Inst Ind Math ITWM Dept Optimizat Fraunhofer Pl 1 D-67663 Kaiserslautern Germany

Computing the approximation quality is a crucial step in every iteration of sandwiching algorithms (also called Benson-type algorithms) used for the approximation of convex Pareto fronts, sets or functions. Two quality indicators often used in these algorithms are polyhedral gauge and epsilon indicator. In this article, we develop an algorithm to compute the polyhedral gauge and epsilon indicator approximation quality more efficiently. We derive criteria that assess whether the distance between a vertex of the outer approximation and the inner approximation needs to be recalculated. We interpret these criteria geometrically and compare them to a criterion developed by D & ouml;rfler et al. for a different quality indicator using convex optimization theory. For the bi-criteria case, we show that only two linear programs need to be solved in each iteration. We show that for more than two objectives, no constant bound on the number of linear programs to be checked can be derived. Numerical examples illustrate that incorporating the developed criteria into the sandwiching algorithm leads to a reduction in the approximation time of up to 94 % and that the approximation time increases more slowly with the number of iterations and the number of objective space dimensions.

关键词： Multicriteria optimization Multi-objective optimization Polyhedral approximation algorithms Quality indicator

来源：评论

学校读者我要写书评

暂无评论

Hand Gesture Recognition on Edge Devices: Sensor Technologies, algorithms, and Processing Hardware

引用

SENSORS 2025年第6期25卷 1687-1687页

作者： Fertl, Elfi Castillo, Encarnacion Stettinger, Georg Cuellar, Manuel P. Morales, Diego P. Infineon Technol AG D-85579 Neubiberg Germany Univ Granada Dept Elect & Comp Technol E-18071 Granada Spain Univ Granada Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain

Hand gesture recognition (HGR) is a convenient and natural form of human-computer interaction. It is suitable for various applications. Much research has already focused on wearable device-based HGR. By contrast, this paper gives an overview focused on device-free HGR. That means we evaluate HGR systems that do not require the user to wear something like a data glove or hold a device. HGR systems are explored regarding technology, hardware, and algorithms. The interconnectedness of timing and power requirements with hardware, pre-processing algorithm, classification, and technology and how they permit more or less granularity, accuracy, and number of gestures is clearly demonstrated. Sensor modalities evaluated are WIFI, vision, radar, mobile networks, and ultrasound. The pre-processing technologies stereo vision, multiple-input multiple-output (MIMO), spectrogram, phased array, range-doppler-map, range-angle-map, doppler-angle-map, and multilateration are explored. Classification approaches with and without ML are studied. Among those with ML, assessed algorithms range from simple tree structures to transformers. All applications are evaluated taking into account their level of integration. This encompasses determining whether the application presented is suitable for edge integration, their real-time capability, whether continuous learning is implemented, which robustness was achieved, whether ML is applied, and the accuracy level. Our survey aims to provide a thorough understanding of the current state of the art in device-free HGR on edge devices and in general. Finally, on the basis of present-day challenges and opportunities in this field, we outline which further research we suggest for HGR improvement. Our goal is to promote the development of efficient and accurate gesture recognition systems.

关键词： hand gesture recognition edge machine learning artificial intelligence algorithms signal processing radar WiFi 4G 5G LTE ultrasound lidar vision image processing AI accelerators

来源：评论

学校读者我要写书评

暂无评论

Direct data-driven algorithms for multiscale mechanics

引用

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2025年 433卷

作者： Prume, E. Gierden, C. Ortiz, M. Reese, S. Rhein Westfal TH Aachen Inst Appl Mech Mies van der Rohe Str 1 D-52074 Aachen Germany Ruhr Univ Bochum Inst Mech Mat Univ Str 150 D-44801 Bochum Germany Univ Bonn Hausdorff Ctr Math Endenicher Allee 60 D-53115 Bonn Germany CALTECH Div Engn & Appl Sci 1200 E Calif Blvd Pasadena CA 91125 USA Univ Siegen Adolf Reichwein Str 2a D-57076 Siegen Germany

We propose a randomized data-driven solver for multiscale mechanics problems which improves accuracy by escaping local minima and reducing dependency on metric parameters, while requiring minimal changes relative to non-randomized solvers. We additionally develop an adaptive data-generation scheme to enrich data sets in an effective manner. This enrichment is achieved by utilizing material tangent information and an error-weighted k-means clustering algorithm. The proposed algorithms are assessed by means of three-dimensional test cases with data from a representative volume element model.

关键词： Data-Driven Computational mechanics Multiscale mechanics algorithms

来源：评论

学校读者我要写书评

暂无评论

How Do Social Media algorithms Appear? A Phenomenological Response to the Black Box Metaphor

引用

MINDS AND MACHINES 2025年第2期35卷 1-21页

作者： Longo, Anthony Univ Antwerp Dept Philosophy Rodestr 14 B-2000 Antwerp Belgium

This article challenges the dominant 'black box' metaphor in critical algorithm studies by proposing a phenomenological framework for understanding how social media algorithms manifest themselves in user experience. While the black box paradigm treats algorithms as opaque, self-contained entities that exist only 'behind the scenes', this article argues that algorithms are better understood as genetic phenomena that unfold temporally through user-platform interactions. Recent scholarship in critical algorithm studies has already identified various ways in which algorithms manifest in user experience: through affective responses, algorithmic self-reflexivity, disruptions of normal experience, points of contention, and folk theories. Yet, while these studies gesture toward a phenomenological understanding of algorithms, they do so without explicitly drawing on phenomenological theory. This article demonstrates how phenomenology, particularly a Husserlian genetic approach, can further conceptualize these already-documented algorithmic encounters. Moving beyond both the paradigm of artifacts and static phenomenological approaches, the analysis shows how algorithms emerge as inherently relational processes that co-constitute user experience over time. By reconceptualizing algorithms as genetic phenomena rather than black boxes, this paper provides a theoretical framework for understanding how algorithmic awareness develops from pre-reflective affective encounters to explicit folk theories, while remaining inextricably linked to users' self-understanding. This phenomenological framework contributes to a more nuanced understanding of algorithmic mediation in contemporary social media environments and opens new pathways for investigating digital technologies.

关键词： algorithms Black box Social media Phenomenology Genetic phenomena

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Machine Learning algorithms in Energy Poverty Prediction

引用

ENERGIES 2025年第5期18卷 1133-1133页

作者： Kalfountzou, Elpida Papada, Lefkothea Tourkolias, Christos Mirasgedis, Sevastianos Kaliampakos, Dimitris Damigos, Dimitris Natl Tech Univ Athens Sch Min & Met Engn Athens 15780 Greece Ctr Renewable Energy Sources & Saving Pikermi 19009 Greece Natl Observ Athens Inst Environm Res & Sustainable Dev Palea Penteli 15236 Greece

Given the limited potential of conventional statistical models, machine learning (ML) techniques in the field of energy poverty have attracted growing interest, especially during the last five years. The present paper adds new insights to the existing literature by exploring the capacity of ML algorithms to successfully predict energy poverty, as defined by different indicators, for the case of the "Urban Region of Athens" in Greece. More specifically, five energy poverty indicators were predicted on the basis of socio-economic/technical variables through training different machine learning classifiers. The analysis showed that almost all classifiers managed to successfully predict three out of five energy poverty indicators with a remarkably good level of accuracy, i.e., 81-94% correct predictions of energy-poor households for the best models and an overall accuracy rate of over 94%. The most successful classifier in terms of energy poverty prediction proved to be the "Random Forest" classifier, closely followed by "Trees J48" and "Multilayer Perceptron" classifiers (decision tree and neural network approaches). The impressively high accuracy scores of the models confirmed that ML is a promising tool towards understanding energy poverty drivers and shaping appropriate energy policies.

关键词： energy poverty machine learning algorithms classifiers Greece

来源：评论

学校读者我要写书评

暂无评论

Comparison of different regularization algorithms in sound source identification: a case study

引用

JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING 2025年第1期47卷 1-17页

作者： Huang, Linsen Yang, Zhiyu Xia, Lihong Zhang, Hao Zhang, Wei Southwest Univ Coll Engn & Technol Chongqing 400100 Peoples R China Chongqing Technol & Business Univ Sch Mech Engn 19 Xuefu Ave Chongqing 400067 Peoples R China Zonsen Ind Grp Co Ltd 126 Yunan Ave Chongqing Peoples R China

This paper examines five regularization algorithms for sound source identification, particularly in near-field acoustic holography applications that employ the equivalent source method (ESM) based on & ell;1 norm and & ell;2 norm. Both simulations and experimental tests were conducted to evaluate the performance of Tikhonov regularization, & ell;1-CVX, Bregman iteration (BI), fast iterative shrinkage-thresholding algorithm for ESM (FISTESM), and iterative reweighted least squares (IRLS). These algorithms were assessed based on their accuracy in localizing both single and coherent sound sources across a range of frequencies. Findings reveal that & ell;1-CVX and BI achieve high levels of resolution and stability, especially for coherent sources, while FISTESM proves to be highly efficient at higher frequencies. In contrast, Tikhonov regularization exhibits limitations when applied to sparse sound sources, and IRLS demonstrates particular effectiveness at lower frequencies. This comparative study provides critical guidance for selecting the most suitable algorithm according to specific frequency and source characteristics.

关键词： Compressive sensing Equivalent source method algorithms Near-field acoustical holography Sound source identification

来源：评论

学校读者我要写书评

暂无评论

Quantum Computing-Accelerated Kalman Filtering for Satellite Clusters: algorithms and Comparative Analysis

IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY

引用

IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY 2025年第1期6卷 307-316页

作者： Prakash, Shreyan Bhattacherjee, Raj Bitragunta, Sainath Bhatia, Ashutosh Tiwari, Kamlesh BITS Pilani Elect & Elect Engn Dept Pilani Campus Pilani 333031 Rajasthan India BITS Pilani Dept Phys Pilani Campus Pilani 333031 Rajasthan India BITS Pilani Dept Comp Sci & Informat Syst Pilani Campus Pilani 333031 Rajasthan India

The increasing demand for high-precision real-time data processing in satellite clusters requires efficient algorithms to manage inherent uncertainties in space-based systems. We propose an innovative framework that integrates Quantum Neural Network (QNN) architecture into Kalman filtering processes, specifically tailored for Low Earth Orbit satellite clusters. Our quantum computing-based approach achieves a significant improvement in prediction accuracy and a reduction in mean absolute error compared to classical Kalman filtering techniques. These advances significantly improve computational efficiency and error handling, making the method highly scalable under varying noise levels. A comparative analysis demonstrates the superior performance of the Quantum Kalman Filter in processing speed, resource utilization, and prediction accuracy, all evaluated within the constraints of LEO satellite constellations. These findings highlight the potential of quantum computing to optimize data processing strategies for future missions, including deep space explorations.

关键词： Kalman filters Satellites Vectors Neural networks Mathematical models Covariance matrices Extraterrestrial measurements Filtering Quantum computing Noise Kalman filtering neural networks quantum computing quantum neural networks algorithms satellite clusters satellite networks scalability space-based systems

来源：评论

学校读者我要写书评

暂无评论

On the PTV homogeneity objective in the era of photon advanced dose calculation algorithms: Bridging robust and PTV-based planning

引用

RADIOTHERAPY AND ONCOLOGY 2025年 207卷 110878-110878页

作者： Jurado-Bruggeman, Diego Angerud, Agnes Fredriksson, Albin Munoz-Montplet, Carles Inst Catala Oncol Med Phys & Radiat Protect Dept Avda Franca S-N Girona 17001 Spain Girona Biomed Res Inst IDIBGI Radiat Oncol & Med Phys Girona Grp Girona Spain RaySearch Labs AB Stockholm Sweden

Aim: The planning target volume (PTV) homogeneity objective was developed for previous-generation dose calculation algorithms. Advanced algorithms report doses to medium-in-medium (Dm,m) and their values depend on the medium considered, breaking the link between uniform irradiation and dose homogeneity. This work revises the PTV homogeneity objective when high-density heterogeneities are involved. We evaluated robust against PTV-based planning, and a dose reporting method that removes composition dependencies to express doses to muscle in muscle-like medium (Dmuscle,muscle*). Methods: Four cases featuring bone or metal within the PTV were selected and planned in RayStation with Monte Carlo. Three plans were created for each case: robust optimization for Dm,m (Robust-Dm,m), and PTV-based optimization for Dm,m (PTV-Dm,m) and Dmuscle,muscle* (PTV-Dmuscle,muscle*). The plans were reported in Dm,m and Dmuscle,muscle*, and their dosimetric parameters, robustness, complexities, and optimization times were assessed. Results: Robust-Dm,m and PTV-Dmuscle,muscle* plans presented similar Dm,m distributions with inhomogeneous PTV doses due to cold spots in high-density regions. PTV-Dm,m plans achieved homogeneous PTV doses but required local fluence compensations that impaired robustness, with significant hot spots, and increased complexity. Robust optimization was 7 to 11 times slower. Reporting in Dmuscle,muscle* restored consistency between PTVbased and robust evaluations. Conclusions: Robust optimization proves that PTV homogeneity should not be prioritized when advanced algorithms reporting Dm,m are used with high-density heterogeneities. PTV-Dmuscle,muscle* optimization offers a practical alternative for maintaining PTV-based planning and the PTV homogeneity objective while ensuring consistency with robust optimization. Dmuscle,muscle* reporting simplifies plan evaluation and aligns with clinical practice, facilitating decision-making in treatment planning.

关键词： Radiotherapy algorithms Optimization Robust PTV Monte Carlo Dose-to-medium

来源：评论

学校读者我要写书评

暂无评论

Application of Fourier transform infrared spectroscopy on Breast cancer diagnosis combined with multiple algorithms: A systematic review

引用

PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY 2025年 53卷 104579-104579页

作者： Anagaw, Yeniewa Kerie Bizuneh, Gizachew Kassahun Feleke, Melaku Getahun Limenh, Liknaw Workie Geremew, Derso Teju Worku, Minichil Chanie Mitku, Melese Legesse Dessie, Misganaw Gashaw Mekonnen, Biset Asrade Ayenew, Wondim Univ Gondar Coll Med & Hlth Sci Sch Pharm Dept Pharmaceut Chem Gondar Ethiopia Univ Gondar Coll Med & Hlth Sci Sch Pharm Dept Pharmacognosy Gondar Ethiopia Univ Gondar Coll Vet Med Dept Vet Pharm Gondar Ethiopia Univ Gondar Coll Med & Hlth Sci Sch Pharm Dept Pharmaceut Gondar Ethiopia Debre Markos Univ Coll Med & Hlth Sci Dept Pharm Debre Markos Ethiopia Bahir Dar Univ Coll Med & Hlth Sci Dept Pharm Bahir Dar Ethiopia Univ Gondar Coll Med & Hlth Sci Sch Pharm Dept Social & Adm Pharm Gondar Ethiopia

Introduction: Fourier transform infrared (FT-IR) spectroscopy is an innovative diagnostic technique for improving early detection and personalized care for breast cancer patients. It allows rapid and accurate analysis of biological samples. Therefore, the purpose of this study was to assess the diagnostic accuracy of FT-IR spectroscopy for breast cancer, based on a comprehensive literature review. Methods: An online electronic database systematic search was conducted using PubMed/Medline, Cochrane Library, and hand databases from March 28, 2024, to April 10, 2024. We included peer-reviewed journal articles in which FT-IR spectroscopy was used to acquire data on breast cancers and manuscripts published in English. All eligible studies were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool. Results: Serum, breast biopsies, blood plasma, specimen, and saliva samples were included in this study. This study revealed that breast cancer diagnosis using FT-IR spectroscopy with diagnostic algorithms had a sensitivity and specificity of approximately 98 % and 100 %, respectively. Almost all studies have used more than one algorithm to analyze spectral data. This finding showed that the sensitivity of FT-IR spectroscopy reported in six included studies was greater than 90 %. Conclusion: Employing multivariate analysis coupled with FT-IR spectroscopy has shown promise in differentiating between healthy and cancerous breast tissue. This review revealed that FT-IR spectroscopy will be the next gold standard for breast cancer diagnosis. However, to draw definitive conclusions, larger-scale studies, external validation, real-world clinical trials, legislative considerations, and alternative methods such as Raman spectroscopy should be considered.

关键词： algorithms Breast cancer Diagnosis Fourier transform infrared spectroscopy Systematic review

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：