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A New Hybrid Model for Segmentation of the Skin Lesion Based on Residual Attention U-Net

computers, Materials & Continua 2023年第6期75卷 5177-5192页

作者： Saleh Naif Almuayqil Reham Arnous Noha Sakr Magdy M.Fadel Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaSaudi Arabia Department of Communications and Electronics Delta Higher Institute for Engineering and Technology(DHIET)MansouraEgypt Computers Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansouraEgypt

Skin segmentation participates significantly in various biomedical applications,such as skin cancer identification and skin lesion *** paper presents a novel framework for segmenting the *** framework contains two main stages:The first stage is for removing different types of noises from the dermoscopic images,such as hair,speckle,and impulse noise,and the second stage is for segmentation of the dermoscopic images using an attention residual U-shaped Network(U-Net).The framework uses variational Autoencoders(VAEs)for removing the hair noises,the Generative Adversarial Denoising Network(DGAN-Net),the Denoising U-shaped U-Net(D-U-NET),and Batch Renormalization U-Net(Br-U-NET)for remov-ing the speckle noise,and the Laplacian Vector Median Filter(MLVMF)for removing the impulse *** the second main stage,the residual attention u-net was used for *** framework achieves(35.11,31.26,27.01,and 26.16),(36.34,33.23,31.32,and 28.65),and(36.33,32.21,28.54,and 27.11)for removing hair,speckle,and impulse noise,respectively,based on Peak Signal Noise Ratio(PSNR)at the level of(0.1,0.25,0.5,and 0.75)of *** framework also achieves an accuracy of nearly 94.26 in the dice score in the process of segmentation before removing noise and 95.22 after removing different types of *** experiments have shown the efficiency of the used model in removing noise according to the structural similarity index measure(SSIM)and PSNR and in the segmentation process as well.

关键词： Skin tumor speckle noise impulse noise hair noise deep learning segmentation

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GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE systems WITH PARAMETRIC UNCERTAINTIES

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Journal of systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

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DNN-based Skeleton Independent Motion Retargeting 27

DNN-based Skeleton Independent Motion Retargeting

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Akber, Syed Muhammad Abrar Kazmi, Sadia Nishat Szczesna, Agnieszka Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice44-100 Poland

In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these applications which is performed by motion-capturing (MoCap) systems. Due to the heterogeneity of MoCap systems and marker configurations, the captured skeletons may vary in their structure, number of joints, and bone lengths. The need for motion retargeting arises to transfer motion captured from one articulated actor to another. Although motion retargeting is a long-standing issue, current methods cannot automatically execute retargeting between skeletons. This paper presents the retraining of a popular motion retargeting network with a new large-scale motion dataset. The retraining aims to demonstrate the capabilities of the motion retargeting network to handle the problem of motion retargeting between skeletons that may have different structures. The paper first, presents the motion retargeting network that employs an encoder-decoder architecture. Afterward, we re-train the motion retargeting network with a new MoCap dataset. To validate the effectiveness of the network, we visually compare the generated results with the existing retargeting model. The results show that the motion retargeting network effectively retargets the different motions. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Decoder Deep neural network Encoder Motion retargeting

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Non-linear filtering to improve dexterity in spatial control

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Transactions of the Institute of Measurement & control 1990年第1期12卷 44-48页

作者： Bosman, D. Bakker, W. Faculty of Electrotechnology Control Systems and Computer Engineering Group Vision Laboratory University of Twente 7500 AE Enschede The Netherlands United States

Task-dependent response - eg, in instrument calibration, spatial positioning and the like - is a long nursed requirement: transition to the end state very fast, albeit imprecise, followed by slower but very accurate final action. The realisation, of course, is a non-linear filter which can take many levels of refinement. In this paper the analysis is presented of the most simple continuous type and it is shown that signal-dependent overshoot (associated with fast response) can be obtained using networks with strictly low-pass (non-negative) impulse response. © 1990, Sage Publications. All rights reserved.

关键词： adaptive dexterity Non-linear filter spatial control spreading

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Integrating V2X solutions in intelligent green cities: an AI-driven point exchange system approach

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Neural Computing and Applications 2025年

作者： Talaat, Fatma M. Shaban, Warda M. ZainEldin, Hanaa Badawy, Mahmoud Elhosseini, Mostafa Faculty of Artificial Intelligence Kafrelsheikh University Kafrelsheikh Egypt Faculty of Computer Science & Engineering New Mansoura University Gamasa35712 Egypt Department of Communication and Electronics Engineering Nile Higher Institute for Engineering and Technology Mansoura Egypt Faculty of Artificial Intelligence and informatics Horus University New Damietta Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Computer Science and Information Department Applied College Taibah University Madinah42353 Saudi Arabia College of Computer Science and Engineering Taibah University Yanbu46421 Saudi Arabia

With rapid urbanization, smart cities have become essential for enhancing urban management and sustainability by integrating technological, social, and institutional innovations. Among these innovations, vehicle-to-everything (V2X) communications and electric vehicles (EVs) play a critical role in reducing carbon emissions and optimizing urban mobility. To address the existing gaps in holistic V2X integration, this paper presents a novel eco-assistive fog-based traffic management system (EAFTMS) that leverages a four-tier architecture (IoT, fog, cloud, and application) for scalable, real-time traffic optimization. A key innovation of this system is the AI-driven point exchange system (PES), designed to incentivize sustainable behaviors such as reducing unnecessary vehicle usage and promoting green lifestyle choices. Unlike conventional models, the proposed framework incorporates real-time behavioral monitoring, rewards-based sustainability programs, and V2X-enabled dynamic traffic control. Empirical validation demonstrates that EAFTMS outperforms existing models, including support vector regression (SVR), achieving a 30% reduction in latency, a 40% improvement in response time, a 25% increase in traffic flow efficiency, and a 35% reduction in CO2 emissions. These results highlight the framework’s potential to set new standards in intelligent green cities by offering scalable, practical, and environmentally impactful solutions to urban transportation challenges. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Urban transportation

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A conversational man-robot interface used in robotics education

A conversational man-robot interface used in robotics educat...

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作者： Buiu, Catalin Dumitrache, Ioan Dumitrascu, Alexandru Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science POLITEHNICA University of Bucharest Spl. Independentei 313 77206 Bucharest Romania

ISBN: (纸本)008045108X

This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an autonomous robot. The interface is used in the robotics educational process. The basic commands to be given by voice (back, right, etc.) and the control of the agents are implemented in Visual Basic. More complex control programs can be implemented and tested in Matlab and after that executed with a simple voice command. This program is used as a part of an integrated educational strategy in autonomous robotics and was evaluated by a group of students. First experimental results related to the use of this conversational interface compared to traditional robot simulation environments and control of real robots are presented in this paper with related discussions. Copyright © 2005 IFAC.

关键词： Speech recognition

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Parallel genome sequence searching on supercomputer BlueGene/P

Parallel genome sequence searching on supercomputer BlueGene...

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作者： Borovska, Plamenka Nakov, Ognian Gancheva, Veska Georgiev, Ivailo Department of Computer Systems Technical University Sofia Bulgaria Faculty of Computer Systems and Control Technical University Sofia Bulgaria Department of Programming and Computer Technologies Technical University Sofia Bulgaria

ISBN: (纸本)9789604742509

The aim of this paper is to investigate the efficiency of sequence alignment. The parallel computational model is based on mpiBlast algorithm, data decomposition and manager-worker algorithmic paradigm utilizing massage passing based on MPI and is verified on the basis of flat parallel program implementation on a supercomputer BlueGene/P.

关键词： Supercomputers

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Concept for composition of hybrid flying multi-rotor platforms with distributed load and its experimental justification 19

Concept for composition of hybrid flying multi-rotor platfor...

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19th International Conference on Aviation and Cosmonautics, AviaSpace 2020

作者： Chemodanov, V. Gavrilin, K. Klimov, I. Kotelnikova, A. Faculty of Control Systems Computer Science and Power Engineering Moscow Aviation Institute 4 Volokolamskoe highway Moscow125993 Russia

This paper discusses the main approaches to the development and construction of hybrid flying multi-rotor platforms with separation of lift control functions and angular stabilization functions, called by the authors "distributed load". A significant factor that limits flight time for majority of multi-rotor platforms is the energy density limit of lithium polymer batteries, which are most commonly used. To solve this problem we analyzed possible ways to increase flight time: replacing the main type of energy carrier for a more energy-intensive one and use of hybrid systems with combination of popular lithium-polymer batteries and a more energy-intensive energy carrier. The analysis was supported by experimental data. © Published under licence by IOP Publishing Ltd.

关键词： Lithium-ion batteries

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Adaptive web-based systems: From framework to implementation 10

Adaptive web-based systems: From framework to implementation

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11th International Conference on computer systems and Technologies, CompSysTech'10

作者： Raufi, Bujar Georgieva, Juliana Faculty of Contemporary Sciences and Technologies Department of Computer Science South East European University Denmark Faculty of Computers and Control Systems Department of Programming and Computer Technologies Technical University of Sofia Bulgaria

ISBN: (纸本)9781450302432

The paper gives an insight of the work done so far in modelling and implementation of user adapted software systems or adaptive web sites. We introduce a five layer framework which gives to our adaptive web based system flexibility, expressiveness, modularity and interoperability. The work so far has been concentrated in the first four layers of the framework concerning data representation, representation of knowledge as well as development of adaptation algorithm for such systems. Initial experimental results on adaptation show good performance of the algorithm for both per-user based adaptation and adaptation for groups of users. The findings also indicate that the approach is suitable for generic adaptive web-based systems. Copyright. © 2010 ACM.

关键词： Websites

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Maneuvering target tracking method based on unknown but bounded uncertainties

Maneuvering target tracking method based on unknown but boun...

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作者： Rahmati, Hodjat Khaloozadeh, Hamid Ayati, Moosa Faculty of Electrical and Computer Engineering Systems and Control Department K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9783902661937

In this paper a new maneuvering target tracking method based on a model with unknown but bounded uncertainties is proposed. Firstly, a model with unknown but bounded uncertainties is proposed. Then, an algorithm for tracking the target in both maneuvering and non-maneuvering cases is generated. The proposed method can be used for a large diversity of input types. Also, this method does not require maneuver detection and covariance resetting that are necessary in previous maneuvering target tracking methods. Therefore, it doesn't consume any time for maneuver detection and covariance resetting. Also simulation results are provided to confirm the theoretical development. © 2011 IFAC.

关键词： Target tracking

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