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检索条件"机构=LATIS- Laboratory of Advanced Technology and Intelligent Systems"
2033 条 记 录,以下是31-40 订阅
排序:
Applying Explanatory Artificial Intelligence Using LIME to Analyze Arabic Online Handwriting Recognition Models
Applying Explanatory Artificial Intelligence Using LIME to A...
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International Conference on Information Networking
作者: Hasanien Ali Talib Alothman Wafa Lejmi Safa Ameur Mohamed Ali Mahjoub ISITCom - Higher Institute of Computer Science and Communication Sousse Tunisia LATIS - Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse (ENISo) University of Sousse Sousse Tunisia Mechatronics Engineering Department University of Mosul Mosul Iraq
This study applies interpretable artificial intelligence (XAI) techniques in an unprecedented way to improve transparency in online Arabic handwriting recognition models. By using the LIME (Local Model-Independent Exp... 详细信息
来源: 评论
Evolution Design Methodology of the Metamorphic Mechanisms Inspired by Gene Deduction
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Journal of Mechanical Design 2025年 第8期147卷 083302页
作者: Zhang, Yang Xu, Peng Li, Bing Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robots Key University Laboratory of Mechanism & Machine Theory and Intelligent Unmanned Systems of Guangdong School of Robotics and Advanced Manufacture Harbin Institute of Technology Shenzhen 518052 China
This article proposes an evolutionary design method for metamorphic mechanisms inspired by gene deduction. First, the correlations between biological evolution and mechanical evolution, biological systems and mechanic... 详细信息
来源: 评论
Techno-economic analysis of fuel cell trucks with different powertrain hybridization and hydrogen resources by 2040: case study of China
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International Journal of Hydrogen Energy 2025年 132卷 174-182页
作者: Nan, Long Xu, Feiyang Sui, Pang-Chieh Feng, Yanbiao Hao, Han Li, Shunxi Huang, Feng Hubei Key Laboratory of Advanced Technology for Automotive Components Hubei Collaborative Innovation Center for Automotive Components Technology and Hubei Research Center for New Energy & Intelligent Connected Vehicle School of Automotive Engineering Wuhan University of Technology Hubei 430070 China Institute for Integrated Energy Systems University of Victoria VictoriaBCV8W 2Y2 Canada School of Mechanical Engineering University of Science & Technology Beijing Beijing100083 China State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing100084 China
This study conducts a techno-economic analysis of fuel cell electric trucks with different hybridization factors (i.e., the power distribution ratio between batteries and fuel cells) by evaluating their life-cycle car... 详细信息
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Artificial Intelligence Techniques With Digital Twin for Fault Diagnosis in Interconnected systems: A Review
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IEEE Access 2025年 13卷 91860-91874页
作者: Imen Nakti Majdi Mansouri Rami Al-Hmouz Atef Khedher Laboratory of Advanced Technology and Intelligent Systems ENISO University of Sousse Sousse Tunisia Department of Electrical and Computer Engineering College of Engineering Sultan Qaboos University Muscat Oman
As industrial systems become more complex and interconnected, diagnosing faults accurately and in real time has become increasingly challenging. This paper explores how combining artificial intelligence with digital t... 详细信息
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Medical Ultrasound Image Improvement Based on Denoising Convolutional Autoencoder
Medical Ultrasound Image Improvement Based on Denoising Conv...
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IEEE SSD International Multi-Conference on systems, Signals and Devices
作者: Taher Slimi Ahlem Djeha Anouar Ben Khalifa Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef Tunisie LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie
The challenge of enhancing ultrasound images while retaining essential features is vital in the medical field. Speckle noise significantly degrades image quality and can obscure important details. In this paper, we pr... 详细信息
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Ultrasound Imaging Enhancement Using Denoising AutoEncoders
Ultrasound Imaging Enhancement Using Denoising AutoEncoders
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IEEE SSD International Multi-Conference on systems, Signals and Devices
作者: Taher Slimi Radhia Ferjaoui Anouar Ben Khalifa Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef Tunisie LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingeniéurs de Sousse Sousse Tunisie
In ultrasound imaging, speckle noise is acknowledged as a major challenge, affecting visual clarity and compromising diagnostic accuracy. This degradation can lead to erroneous clinical evaluations, highlighting the u... 详细信息
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Enhancing Breast Ultrasound Diagnostics Using GANs and Guided Filtering
Enhancing Breast Ultrasound Diagnostics Using GANs and Guide...
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IEEE SSD International Multi-Conference on systems, Signals and Devices
作者: Taher Slimi Anouar BEN Khalifa Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef Tunisie LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie
In ultrasound imaging, speckle noise presents a significant challenge, undermining image clarity and the accuracy of diagnostic interpretations. To address this critical issue, We develop a new method for improving th... 详细信息
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Application of Particle Swarm Optimization Algorithm Based on Adaptive Inertia Adjustment Strategy in Scheduling of the Coking Process  26
Application of Particle Swarm Optimization Algorithm Based o...
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26th International Conference on Industrial technology, ICIT 2025
作者: Chen, Yiheng Yin, Fan Chen, Xiaochong Ren, Yi Hu, Jie Wu, Min School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China
The sccheduling for pushing plan during the coking process critically affects the efficiency and stability of production. However, the complexity with mutiple-stage during production makes it difficult to design an ef... 详细信息
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Bearing Fault Diagnosis Under Variable Working Conditions Based on Domain Adaptation and Improved Depthwise Separable Convolution Network
Bearing Fault Diagnosis Under Variable Working Conditions Ba...
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IEEE International Conference on Industrial technology (ICIT)
作者: Zehui Kuang Fan Mao Xingyu Zhao Xiongbo Wan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education School of Future Technology China University of Geosciences Wuhan China Ministry of Education School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China
Domain adaptation methods and appropriate feature extractors are usually applied to solve the problem that the variable working conditions of bearings affect the effectiveness of the fault diagnostic framework. Howeve... 详细信息
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A Robust Convolutional Neural Network for Electrical Impedance Tomography Image Reconstruction
A Robust Convolutional Neural Network for Electrical Impedan...
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IEEE SSD International Multi-Conference on systems, Signals and Devices
作者: Mariem Hafsa Kailun Lin Najoua Essoukri Ben Amara Olfa Kanoun Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Sousse Tunisie Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany Department of Mechanical Engineering Technische Universität Chemnitz Chemnitz Germany
Electrical Impedance Tomography (EIT) is a widely used non-invasive imaging method in a variety of application fields. Most EIT applications require an accurate and high-quality reconstructed inner conductivity distri... 详细信息
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