检索结果-内蒙古大学图书馆

Marine Predators Algorithm with Deep Learning-Based Leukemia Cancer Classification on Medical Images

computer Modeling in engineering & Sciences 2024年第10期141卷 893-916页

作者： Sonali Das Saroja Kumar Rout Sujit Kumar Panda Pradyumna Kumar Mohapatra Abdulaziz S.Almazyad Muhammed Basheer Jasser Guojiang Xiong Ali Wagdy Mohamed Department of Computer Science&Engineering Gandhi Institute for TechnologyBPUTBhubaneswar752054India Department of Information Technology Vardhaman College of Engineering(Autonomous)Hyderabad501218TelanganaIndia Department of Electronic&Communication Engineering Vedang Institute of TechnologyBhubaneswar752010India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computing and Information Systems School of Engineering and TechnologySunway UniversityJalan UniversitiBandar SunwaySelangor Darul Ehsan47500Malaysia Research Centre for Human-Machine Collaboration(HUMAC) School of Engineering and TechnologySunway UniversityJalan UniversitiBandar SunwaySelangor Darul Ehsan47500Malaysia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11931Jordan

In blood or bone marrow,leukemia is a form of cancer.A person with leukemia has an expansion of white blood cells(WBCs).It primarily affects children and rarely affects *** depends on the type of leukemia and the extent to which cancer has established throughout the *** leukemia in the initial stage is vital to providing timely patient *** image-analysis-related approaches grant safer,quicker,and less costly solutions while ignoring the difficulties of these invasive *** can be simple to generalize computer vision(CV)-based and image-processing techniques and eradicate human *** researchers have implemented computer-aided diagnosticmethods andmachine learning(ML)for laboratory image analysis,hopefully overcoming the limitations of late leukemia detection and determining its *** study establishes a Marine Predators Algorithm with Deep Learning Leukemia Cancer Classification(MPADL-LCC)algorithm onMedical *** projectedMPADL-LCC system uses a bilateral filtering(BF)technique to pre-process medical *** MPADL-LCC system uses Faster SqueezeNet withMarine Predators Algorithm(MPA)as a hyperparameter optimizer for feature ***,the denoising autoencoder(DAE)methodology can be executed to accurately detect and classify leukemia *** hyperparameter tuning process using MPA helps enhance leukemia cancer classification *** results are compared with other recent approaches concerning various measurements and the MPADL-LCC algorithm exhibits the best results over other recent approaches.

关键词： Leukemia cancer medical imaging image classification deep learning marine predators algorithm

来源：评论

学校读者我要写书评

暂无评论

Development of Programmed Autonomous Electric Heavy Vehicle: An Application of IoT 2

Development of Programmed Autonomous Electric Heavy Vehicle:...

引用

2nd International Conference on Electronics and Renewable systems, ICEARS 2023

作者： Reddy, P. Nagasekhar Umaeswari, P. Natrayan, L. Choudhary, Ankur Mahatma Gandhi Institute of Technology Department of Electrical and Electronics Engineering Hyderabad500075 India R.M.K Engineering College Department of Computer Science and Business Systems Kavaraipettai601206 India Saveetha School of Engineering Department of Mechanical Engineering Simats India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun248002 India

ISBN: (纸本)9798350346640

The influence of automation in the agriculture and construction industry plays a vital role in the development of the economic backbone of any country. The factors such as power, torque and speed are efficiently controlled by automation devices using Internet of things (IoT). The heavy vehicles are the multi-faced application carrier which is been used in construction, agriculture, mining and other heavy-duty fields. This research focuses on developing a IoT integrated sensor-based obstacle detection system for programmed autonomous heavy vehicles which will improve safety in both on-road and off-road construction. The automation process consists of two main categories: Observing the environment and recognizing the activities. The environment in our case is both highways and rural roads. An intelligent- camera is utilised to capture the activities from the captured video and process the data. A LiDAR sensor performs the obstacle detection process using laser reflection technology and an ultrasonic sensor is used to process the vibration and sound produced by the obstacle or upcoming vehicles. These three sensors are integrated with a controller-based device to be powered by the power distribution system in the programmed autonomous heavy vehicle. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Iodine-enhanced Liver Vessel Segmentation in Photon Counting Detector-based Computed Tomography using Deep Learning 7

Iodine-enhanced Liver Vessel Segmentation in Photon Counting...

引用

7th International Conference on Image Formation in X-Ray Computed Tomography

作者： Baek, Sumin Lee, Okkyun Ye, Donghye The Department of Robotics and Mechatronics Engineering Daegu Gyeongbuk Institute of Science and Technology Daegu42988 Korea Republic of The Department of Electrical and Computer Engineering Marquette University MilwaukeeWI53233 United States

ISBN: (纸本)9781510656697

Liver vessel segmentation is important in diagnosing and treating liver diseases. Iodine-based contrast agents are typically used to improve liver vessel segmentation by enhancing vascular structure contrast. However, conventional computed tomography (CT) is still limited with low contrast due to energy-integrating detectors. Photon counting detector-based computed tomography (PCD-CT) shows the high vascular structure contrast in CT images using multi-energy information, thereby allowing accurate liver vessel segmentation. In this paper, we propose a deep learning-based liver vessel segmentation method which takes advantages of the multi-energy information from PCD-CT. We develop a 3D UNet to segment vascular structures within the liver from 4 multi-energy bin images which separates iodine contrast agents. The experimental results on simulated abdominal phantom dataset demonstrated that our proposed method for the PCD-CT outperformed the standard deep learning segmentation method with conventional CT in terms of dice overlap score and 3D vascular structure visualization. © 2022 SPIE.

关键词： Iodine

来源：评论

学校读者我要写书评

暂无评论

Decentralized Control of Intercity Electric Automated Buses via Time-Varying Objective Prioritization

Decentralized Control of Intercity Electric Automated Buses ...

引用

IEEE Conference on Decision and Control

作者： C. Pasquale S. Sacone S. Siri A. Ferrara Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

This paper considers electric automated buses traveling in inter-urban roads and following a given route including stops, that must be reached according to a given timetable. Some of these stops are provided with a charging infrastructure allowing to charge the bus batteries. The paper proposes a decentralized control scheme for determining the optimal speed profiles, the dwell and charging times of the buses, by taking into account the traffic conditions along the road through a suitable traffic flow prediction model. Two objectives are considered contemporarily: the minimization of the deviations from the timetable and the minimization of the energy lack at the end of the bus route. To attain both these conflicting objectives, a lexicographic approach is adopted to design the controller which considers that, depending on the system state, the priority of the two objectives can change. Accordingly, the proposed control scheme changes the objective prioritization in real time and switches between two different lexicographic-based optimal control solutions. Some tests are discussed in the paper to show the effectiveness of the proposed control scheme.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Toward Life-Long Creative Problem Solving: Using World Models for Increased Performance in Novelty Resolution 13

Toward Life-Long Creative Problem Solving: Using World Model...

引用

13th International Conference on Computational Creativity, ICCC 2022

作者： Gizzi, Evana Lin, Wo Wei Castro, Mateo Guaman Harvey, Ethan Sinapov, Jivko Department of Computer Science Tufts University MA United States Department of Electrical and Computer Engineering Tufts University MA United States The Robotics Institute Carnegie Mellon University PA United States

ISBN: (纸本)9789895416042

Creative problem solving (CPS) is a skill which enables innovation, often times through repeated exploration of an agent’s world. In this work, we investigate methods for life-long creative problem solving (LLCPS), with the goal of increasing CPS capability over time. We develop two world models to facilitate LLCPS which use sub-symbolic action and object information to predict symbolic meta-outcomes of actions. We experiment with three CPS scenarios run sequentially and in simulation. Results suggest that LLCPS is possible through the use of a world model, which can be trained on CPS exploration trials, and used to guide future CPS exploration. © 2022 Proceedings of the 13th International Conference on Computational Creativity, ICCC 2022. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Partial Eigenvalues Assignment in Singular systems Using Brauer and Rado Eigenvalue Embedding for Impulse Elimination

引用

ASME Letters in Dynamic systems and Control 2024年第2期4卷 021001页

作者： Araújo, Jose M. Santos, Tito L.M. Signals and Systems Research Group Federal Institute of Bahia Rua Emıd´io dos Santos S/N Barbalho BA Salvador40301-015 Brazil Department of Electrical and Computer Engineering Federal University of Bahia Rua Arisides Novis 02 Federacão BA 40210-630 Brazil

A partial infinite eigenvalues assignment for singular systems is proposed, inspired by the well-known Brauer theorem for eigenvalue embedding. Removal of infinite eigenvalues is a frequent practice in mechanical systems, for instance, to avoid impulsive acceleration and dangerous jerk of the system degrees-of-freedom with null or highly unbalanced mass. Recent efforts were delivered to extend the Brauer theorem to the generalized singular regular eigenvalue problem. However, removing infinite eigenvalues is treated as a particular example by taking the reciprocal pencil and removing its null eigenvalues. In this note, proof for partial infinite eigenvalues removal is made directly in the original regular singular pencil by updating the descriptor matrix, with no need to take the reciprocal pencil. Multi-step and single-step procedures for impulsive response elimination using Brauer's and Rado's type finite eigenvalues embedding are presented. The obtained results are effective, as illustrated in a numerical example. Copyright © 2024 by ASME.

关键词： Linear systems

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

Soft Sensors for Industrial Applications: Comparison of Variables Selection Methods and Regression Models

Soft Sensors for Industrial Applications: Comparison of Vari...

引用

International Conference on Control, Automation and Diagnosis (ICCAD)

作者： Joana Leiria Rodrigo Salles Jérôme Mendes Pedro Sousa Department of Electrical and Computer Engineering University of Coimbra Institute of Systems and Robotics Coimbra Portugal Oncontrol Technologies Rua Cidade Poitiers Coimbra Portugal

The digitalization of industrial environments has enabled the development of tools that make the production process more efficient and safer. In this sense, the Soft Sensor (SS) plays a fundamental role. Through historical data and indirect measurements, it is possible to estimate the value of important variables that are difficult to measure. This paper presents the SS development process: data collection and pre-processing, variable selection, model selection for SS implementation, model training and testing, and performance evaluation. The selection of variables was made with the help of Pearson Correlation, Mutual Information, and fastTracker algorithm techniques. For the implementation of SS have been tested several models: Multiple Linear Regression, Ridge Regression, Least Absolute Shrinkage and Selection Operator, Elastic Net, Support Vector Regression and Gaussian Mixture Models. Four datasets were used to test the development of the SS.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Machine Learning in Society: Prospects, Risks, and Benefits

引用

Philosophy and Technology 2024年第3期37卷 99页

作者： Farina, Mirko Pedrycz, Witold Institute for Digital Economy & amp Artificial Systems [IDEAS] Xiamen University and Lomonosov Moscow State University Departament of Technical Sciences Western Caspian University Department of Electrical and Computer Engineering Canada Chair Computational Intelligence IEEE Life Fellow University of Alberta

Machine Learning (ML) is revolutionizing the functioning of our societies and reshaping much of the economic tissue underlying them. The deep integration of ML into the fabric of our lives has changed to way we work and communicate and how we relate to each other. In this Topical Collection we reflect on the reach and impact of this AI (ML-driven) revolution in our society, critically analyzing some of the most important ethical, epistemological, scientific, and sociological issues underlying it. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Applications Artificial intelligence [AI] Machine learning [ML] Our future Risks and benefits Society

来源：评论

学校读者我要写书评

暂无评论

Multi-modal Interactive Perception in Human Control of Complex Objects

Multi-modal Interactive Perception in Human Control of Compl...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Rashida Nayeem Salah Bazzi Mohsen Sadeghi Reza Sharif Razavian Dagmar Sternad Department of Electrical and Computer Engineering Biology Institute for Experiential Robotics Northeastern University Boston MA

Tactile sensing has been increasingly utilized in robot control of unknown objects to infer physical properties and optimize manipulation. However, there is limited understanding about the contribution of different sensory modalities during interactive perception in complex interaction both in robots and in humans. This study investigated the effect of visual and haptic information on humans' exploratory interactions with a ‘cup of coffee’, an object with nonlinear internal dynamics. Subjects were instructed to rhythmically transport a virtual cup with a rolling ball inside between two targets at a specified frequency, using a robotic interface. The cup and targets were displayed on a screen, and force feedback from the cup-and-ball dynamics was provided via the robotic manipulandum. Subjects were encouraged to explore and prepare the dynamics by “shaking” the cup-and-ball system to find the best initial conditions prior to the task. Two groups of subjects received the full haptic feedback about the cup-and-ball movement during the task; however, for one group the ball movement was visually occluded. Visual information about the ball movement had two distinctive effects on the performance: it reduced preparation time needed to understand the dynamics and, importantly, it led to simpler, more linear input-output interactions between hand and object. The results highlight how visual and haptic information regarding nonlinear internal dynamics have distinct roles for the interactive perception of complex objects.

关键词：

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：