检索结果-内蒙古大学图书馆

4th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2023

作者： Sun, BenBen Guan, WanBing Wang, JianXin Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Key Laboratory of Advanced Fuel Cells and Electrolyzers Cell Technology of Zhejiang Province Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo China

ISBN: (纸本)9781510666412

Solid oxide fuel cells (SOFCs) have the advantages of high conversion efficiency, low working noise, and environmental protection. Thus, they are widely used in large-scale power generation, combined heat power, peak load-regulating energy storage, and other fields. In the actual working process of SOFCs, the battery performance will decline sharply due to extreme conditions such as overtemperature and peroxide, and the service life will be terminated. Remote monitoring of fuel cells can detect problems in time and restore the battery’s performance by restoring the battery, thereby extending its service life. The data generated by fuel cells during operation have a strong temporal correlation. To discover the future state of fuel cells in time and solve the problem that a large number of codes are needed for monitoring, this paper designs a remote monitoring system of fuel cells with low-code based on Node-RED and Ali Cloud. The output current of fuel cells is predicted by using the improved back propagation neural network based on Levenberg-Marguardt (LM-BPNN) algorithm. The test result of LM-BPNN shows that the test samples have a root mean square error of 0.172, a mean absolute percentage error of 3.85%, and a coefficient of determination of 0.998. © 2023 SPIE.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Towards a real-time control of robotic ultrasound using haptic force feedback

引用

Current Directions in Biomedical engineering 2022年第1期8卷 81-84页

作者： Schreiter, J. Semshchikov, V. Hanses, M. Elkmann, N. Hansen, C. University of Magdeburg Faculty of Computer Science & Research Campus Stimulate Magdeburg Germany University of Magdeburg Faculty of Electrical Engineering and Information Technology Magdeburg Germany Fraunhofer Institute for Factory Operation and Automation Iff Magdeburg Germany

Ultrasound is a widely used imaging technique and is appreciated for its non-invasiveness, absence of radiation, widespread availability, and compact equipment. Ergonomic difficulties in manual handling of the probe could be enhanced by a robotic controlled ultrasound. The paper addresses the development of such a system which enables remote operation of a ultrasound probe and includes haptic force feedback as well as video conferencing components for visual feedback. The development process followed a user-centered approach by investigating needs of potential end-users. Preliminary results demonstrated the functionality of the developed system for generating medical image data under laboratory conditions. © 2022 by Walter de Gruyter Berlin/Boston.

关键词： Probes

来源：评论

学校读者我要写书评

暂无评论

QoS Prediction Model of Cloud Services Based on Deep Learning

引用

IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 564-566页

作者： WenJun Huang PeiYun Zhang YuTong Chen MengChu Zhou Yusuf Al-Turki Abdullah Abusorrah Nanjing University of Information Science&Technology School of Computer and SoftwareNanjingChina IEEE New Jersey Institute of Technology Helen and John C.Hartmann Department of Electrical and Computer EngineeringNewarkUSA Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of Engineeringand K.A.CARE Energy Research and Innovation CenterKing Abdulaziz UniversityJeddah 21589Saudi Arabia

Dear editor,This letter presents a deep learning-based prediction model for the quality-of-service(QoS)of cloud ***,to improve the QoS prediction accuracy of cloud services,a new QoS prediction model is proposed,which is based on multi-staged multi-metric feature fusion with individual *** multi-metric features include global,local,and individual *** results show that the proposed model can provide more accurate QoS prediction results of cloud services than several state-of-the-art methods.

关键词： services Services individual

来源：评论

学校读者我要写书评

暂无评论

Retinal disorder diagnosis based on hybrid deep learning models

引用

Multimedia Tools and Applications 2025年 1-25页

作者： Sedik, Ahmed El-Shafai, Walid El-Hag, Noha A. El-Banby, Ghada M. Abd El-Samie, Fathi E. Smart Systems Engineering Laboratory College of Engineering Prince Sultan University Riyadh11586 Saudi Arabia Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Kafr el-Sheikh Egypt Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt The Higher Institute of Commercial Sciences Algarbia Al Mahalla Al Kubra31951 Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtained with several modalities, such as magnetic resonance (MR) and confocal microscopy, need to be classified for anomaly detection. The MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, brain tumors are represented as areas composed of abnormal cells that need to be detected. On the other hand, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye, such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify normal and abnormal cases of both brain tumor and DR diseases. The CNN model is composed of six convolutional layers and six max-pooling layers. A soft-max activation function takes the classification decision. The proposed Conv-LSTM model is composed of three stages: pre-processing, feature extraction, and classification. The deep learning model performance is better than those of traditional networks. The CNN gives an accuracy of 94.26% for DR classification and 95.8% for brain tumor classification, while the Conv-LSTM gives the maximum accuracy of 96.41% for DR classification and 97.4% for brain tumor classification. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Confocal microscopy

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Detection Using Breastnet-18 Augmentation with Fine Tuned Vgg-16

引用

Intelligent Automation & Soft Computing 2023年第5期36卷 2363-2378页

作者： S.J.K.Jagadeesh Kumar P.Parthasarathi Mofreh A.Hogo Mehedi Masud Jehad F.Al-Amri Mohamed Abouhawwash Department of Computer Science and Engineering Kathir College of EngineeringCoimbatore641062India Department of Computer Science and Engineering Bannari Amman Institute of TechnologySathyamangalam638401TamilnaduIndia Electrical Engineering Department Faculty of EngineeringBenha UniversityBenha13518Egypt Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Women from middle age to old age are mostly screened positive for Breast cancer which leads to *** over the past decades,the overall sur-vival rate in breast cancer has improved due to advancements in early-stage diag-nosis and tailored *** all hospital brings high awareness and early detection technologies for breast *** increases the survival rate of *** traditional breast cancer treatment takes so long,early cancer techniques require an automation *** research provides a new methodol-ogy for classifying breast cancer using ultrasound pictures that use deep learning and the combination of the best ***,after successful learning of Convolutional Neural Network(CNN)algorithms,data augmentation is used to enhance the representation of the feature *** it uses BreastNet18 withﬁne-tuned VGG-16 model for pre-training the augmented *** feature classiﬁcation,Entropy controlled Whale Optimization Algorithm(EWOA)is *** features that have been optimized using the EWOA were utilized to fuse and optimize the *** identify the breast cancer pictures,training classiﬁers are *** using the novel probability-based serial technique,the best-chosen characteristics are fused and categorized by machine learning *** main objective behind the research is to increase tumor prediction accuracy for saving human *** testing was performed using a dataset of enhanced Breast Ultrasound Images(BUSI).The proposed method improves the accuracy com-pared with the existing methods.

关键词： Deep learning classiﬁcation data augmentation feature extraction the fusion of features breast cancer optimization classiﬁcation

来源：评论

学校读者我要写书评

暂无评论

Inverse Solution Accuracy Using 12-Lead ECG vs 9 Significant Electrodes Derived by Greedy Algorithm 50

Inverse Solution Accuracy Using 12-Lead ECG vs 9 Significant...

引用

50th Computing in Cardiology, CinC 2023

作者： Ondrusova, Beata Tino, Peter Svehlikova, Jana Slovak Academy of Sciences Institute of Measurement Science Slovakia Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Bratislava Slovakia School of Computer Science The University of Birmingham Birmingham United Kingdom

ISBN: (纸本)9798350382525

The inverse problem of electrocardiography is solved using potential recordings from numerous torso electrodes. However, there is a growing interest in minimizing the number of used electrodes to enhance clinical applicability. A total of 8 datasets of patients with pacemakers obtained from the EDGAR database were used. The inverse problem assuming a single dipole cardiac source was solved for 3 different electrode configurations. The configurations included all 196 pm 28 electrodes, 9 corresponding to the 12-lead ECG, and the 9 most significant electrodes. The significance of the electrodes was derived by the greedy algorithm from the singular value decomposition of the transfer matrix. The accuracy of the inverse solution was expressed as the localization error (LE) computed as the Euclidean distance between the pacemaker electrode and the inverse solution. The average LE for all 8 datasets using all torso electrodes was 26.1pm 6.1 mm, whereas using 12-lead ECG electrodes yielded a LE of 40.5pm 23.1 mm, and the greedy algorithm's selection resulted in a LE of 29.6pm 14.0 mm. The results suggest that the use of the most significant electrodes outperformed the use of the 12-lead ECG. The study emphasizes the need for back electrodes for an accurate inverse solution. © 2023 CinC.

关键词： Electrodes

来源：评论

学校读者我要写书评

暂无评论

Optimizing compressive strength in sustainable concrete: a machine learning approach with iron waste integration

引用

Asian Journal of Civil engineering 2024年第6期25卷 4487-4512页

作者： Tipu, Rupesh Kumar Batra, Vandna Suman Panchal, V.R. Pandya, K.S. Patel, Gaurang A. Department of Civil Engineering School of Engineering and Technology K. R. Mangalam University Haryana Gurugram 122103 India Department of Computer Science and Engineering School of Engineering and Technology K. R. Mangalam University Haryana Gurugram 122103 India M. S. Patel Department of Civil Engineering Chandubhai S. Patel Institute of Technology (CSPIT) Charotar University of Science and Technology (CHARUSAT) CHARUSAT Campus Changa 388421 India Electrical Engineering Department Faculty of Engineering and Technology Parul Institute of Engineering and Technology (PIET) Parul University Gujarat Vadodara 391760 India Department of Mechanical Engineering Chandubhai S. Patel Institute of Technology (CSPIT) Charotar University of Science and Technology (CHARUSAT) CHARUSAT Campus Changa 388421 India

The current research delves into enhancing the sustainability of construction materials by incorporating iron waste into concrete mixtures. The primary aim revolves around predicting the compressive strength of such innovative concrete formulations, a critical factor in maintaining the structural integrity of constructions. By employing various machine learning algorithms—Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting (GB), Extreme Gradient Boosting (XGB), and Multilayer Perceptron (MLP)—the study determines the most efficacious models for predicting compressive strength. Notably, Random Forest emerges as the most proficient, as evidenced by its exceptional R² (= 0.972) and CPI score (= 0.250). A meticulous sensitivity analysis further elucidates the principal factors influencing compressive strength, notably the incorporation ratios of Iron Waste and Fine Aggregate, alongside the concrete’s age. This investigation meticulously navigates from data preprocessing to the final model selection and sensitivity analysis, ensuring the robustness of the predictive models. Moreover, the study extends its utility beyond academic realms by developing an accessible graphical user interface (GUI), hosted on GitHub, to facilitate the application of these findings. The inclusion of iron waste not only propels the construction industry towards more sustainable practices but also valorizes waste materials. Consequently, this research contributes substantially to the domain of sustainable construction by providing a reliable methodology for the integration of iron waste in concrete, thereby fostering the development of eco-friendlier construction practices. The additional creation of a GUI significantly amplifies the impact of this research, making its insights accessible to a broader audience, thus benefiting the society and construction industry at large. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Concrete compressive strength Global sensitivity analysis GUI Iron waste Machine learning Sustainable construction

来源：评论

学校读者我要写书评

暂无评论

The Significance of the Torso Electrodes for Selected Cardiac Regions 14

The Significance of the Torso Electrodes for Selected Cardia...

引用

14th International Conference on Measurement, MEASUREMENT 2023

作者： Ondrusova, Beata Tino, Peter Svehlikova, Jana Slovak Academy of Sciences Institute of Measurement Science Bratislava Slovakia Slovak University of Technology Faculty of Electrical Engineering and Information Technology Bratislava Slovakia University of Birmingham School of Computer Science Birmingham United Kingdom

ISBN: (纸本)9788097262976

The significance of the torso electrodes for the solution of the inverse problem of electrocardiography using a single dipole depends on the position of the true origin of the cardiac activity, i.e., ground truth. However, the ground truth is not known in clinical practice. Therefore, we studied whether similar electrode significances would be computed for the dipole corresponding to the ground truth, the computed inverse solution, and dipoles within the 30 mm radius around the inverse solution. The significance of torso electrodes was computed for 8 datasets of patients with a known position of the ground truth. The significance assessment of torso electrodes was performed using algebraic properties of the transfer matrix computed for the given dipole position. We studied three variants of the significance assessment of torso electrodes and for two of them similar electrode significances were obtained for all positions of dipoles within 30 mm of the inverse solution. For those two variants, the most significant electrodes created a subset of 47 ± 6% and 40 ± 4% from the full set of electrodes. The results suggest that the electrode significances for a given patient can be established from the inverse solution if the inverse solution lies within 30 mm of the ground truth. © 2023 institute of Measurement Science, Slovak Academy o.

关键词： Electrodes

来源：评论

学校读者我要写书评

暂无评论

Free vibration analysis of a skew sandwich plate with bamboo biocomposite and polylactic acid core under temperature and moisture conditions

引用

Noise and Vibration Worldwide 2023年第9期54卷 434-459页

作者： Gawande, Atul S Kattimani, Subhaschandra Murigendrappa, S.M. Nguyen-Thoi, T. Kamyab, Hesam Althamer, Saeed Department of Mechanical Engineering National Institute of Technology Karnataka Mangalore Surathkal India Institute of Computational Science and Artificial Intelligence Van Lang University Ho Chi Minh City Viet Nam Faculty of Mechanical-Electrical and Computer Engineering Van Lang University Ho Chi Minh City Viet Nam Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur Malaysia Department of Mechanical Engineering King Khalida University Abha Saudi Arabia

This article investigates the impact of moisture and temperature on vibration characteristics of bio-composite skew-laminated composite sandwich (SLCS) plates. The bio-composite SLCS plates with bamboo face sheets and polylactic acid (PLA) cores are biodegradable, radiolucent, lightweight, high strength, and withstand vibrations. The coupled thermo-elastic and hygro-elastic finite element (FE) model of the SLCS plate is derived using the higher-order shear deformation theory (HSDT). An initial stress stiffness matrix is developed using the nonlinear strain-displacement relations to incorporate the effect of temperature and moisture in FE modeling. Temperature and moisture-dependent material properties of bamboo fiber-reinforced biocomposite (BFB) and PLA core are employed for the analysis. A comprehensive investigation has been carried out to study the impact of moisture and temperature situations with different geometrical parameters and various skew angles on the frequency of the SLCS plate. The results indicate that the biocomposite sandwich material has excellent potential for structural applications under different environmental conditions in various applications like food processing, and biomedical applications, including MRI and CT scan beds. © The Author(s) 2023.

关键词： Laminated composites

来源：评论

学校读者我要写书评

暂无评论

When Does Sora Show:The Beginning of TAO to Imaginative Intelligence and Scenarios engineering

引用

IEEE/CAA Journal of Automatica Sinica 2024年第4期11卷 809-815页

作者： Fei-Yue Wang Qinghai Miao Lingxi Li Qinghua Ni Xuan Li Juanjuan Li Lili Fan Yonglin Tian Qing-Long Han School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Department of Electrical and Computer Engineering Indiana University-Purdue University IndianapolisIndianapolisIN 46202USA Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Information and Electronics Beijing Institute of TechnologyBeijing 100081China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia

DURING our discussion at workshops for writing“What Does ChatGPT Say:The DAO from Algorithmic Intelligence to Linguistic Intelligence”[1],we had expected the next milestone for Artificial Intelligence(AI)would be in the direction of Imaginative Intelligence(II),i.e.,something similar to automatic wordsto-videos generation or intelligent digital movies/theater technology that could be used for conducting new“Artificiofactual Experiments”[2]to replace conventional“Counterfactual Experiments”in scientific research and technical development for both natural and social studies[2]-[6].Now we have OpenAI’s Sora,so soon,but this is not the final,actually far away,and it is just the beginning.

关键词： something Intelligence replace

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：