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检索条件"机构=Dept. of Control and Computer Engineering"
1071 条 记 录,以下是111-120 订阅
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Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic M...
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Forum on Specification, Verification and Design Languages, FDL
作者: Luigi Capogrosso Alessio Mascolini Federico Girella Geri Skenderi Sebastiano Gaiardelli Nicola Dall'Ora Francesco Ponzio Enrico Fraccaroli Santa Di Cataldo Sara Vinco Enrico Macii Franco Fummi Marco Cristani Dept. of Engineering for Innovation Medicine University of Verona Italy Dept. of Control and Computer Engineering Polytechnic of Turin Italy Dept. of Regional and Urban Studies and Planning Polytechnic of Turin Italy Dept. of Computer Science University of North Carolina at Chapel Hill USA
Industry 4.0 involves the integration of digital technologies, such as IoT, Big Data, and AI, into manufacturing and industrial processes to increase efficiency and productivity. As these technologies become more inte...
来源: 评论
BIOPHYSICAL SIGNAL PROCESSING FOR AUTOMATIC ANXIETY CLASSIFICATION IN A VIRTUAL REALITY EXPOSURE THERAPY SYSTEM
UPB Scientific Bulletin, Series C: Electrical Engineering an...
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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2024年 第2期86卷 73-84页
作者: Jinga, Nicolae Petrescu, Cătălin-Dumitru Mitruț, Oana Moldoveanu, Alin Moldoveanu, Florica Petrescu, Livia Dept. of Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Automatic Control and Systems Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Faculty of Biology University of Bucharest Romania
This paper presents a signal processing framework for automatic anxiety level classification in a virtual reality exposure therapy system. Two types of biophysical data (heart rate and electrodermal activity) were rec... 详细信息
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Low power implementation of Geometric High-order Decorrelation-based Source Separation on an FPGA board
Low power implementation of Geometric High-order Decorrelati...
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IEEE Cool Chips
作者: Ziquan Qin Kaijie Wei Hideharu Amano Kazuhiro Nakadai Dept. of Information and Computer Science Keio University Yokohama Japan Dept. of Systems and Control Engineering Tokyo Institute of Technology Tokyo Japan
Open source software for robot audition called HARK aims to make “OpenCV” in audio signal processing, providing comprehensive functions from multichannel audio input to sound localization, sound source separation, a... 详细信息
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LLCoach: Generating Robot Soccer Plans using Multi-Role Large Language Models
arXiv
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arXiv 2024年
作者: Brienza, Michele Musumeci, Emanuele Suriani, Vincenzo Affinita, Daniele Pennisi, Andrea Nardi, Daniele Bloisi, Domenico Daniele Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy School of Engineering University of Basilicata Potenza Italy Dept. of International Humanities and Social Sciences International University of Rome Rome Italy
The deployment of robots into human scenarios necessitates advanced planning strategies, particularly when we ask robots to operate in dynamic, unstructured environments. RoboCup offers the chance to deploy robots in ... 详细信息
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Direct data-driven state-feedback control of general nonlinear systems
arXiv
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arXiv 2023年
作者: Verhoek, Chris Koelewijn, Patrick J.W. Haesaert, Sofie Tóth, Roland The Dept. of Electrical Engineering The Eindhoven University of Technology Netherlands The Institute for Computer Science and Control Budapest Hungary
Through the use of the Fundamental Lemma for linear systems, a direct data-driven state-feedback control synthesis method is presented for a rather general class of nonlinear (NL) systems. The core idea is to develop ... 详细信息
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Tailored Output Layers of Neural Networks for Satisfaction of State Constraints in Nonlinear control Systems
Tailored Output Layers of Neural Networks for Satisfaction o...
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American control Conference (ACC)
作者: Lukas Markolf Olaf Stursberg Dept. of Electrical Engineering and Computer Science Inst. of Control and System Theory University of Kassel Germany
This work considers the synthesis of state feedback controllers established as deep artificial feed-forward neural networks for the control of discrete-time nonlinear but input-affine systems. The idea is to design ou...
来源: 评论
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0
arXiv
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arXiv 2023年
作者: Capogrosso, Luigi Mascolini, Alessio Girella, Federico Skenderi, Geri Gaiardelli, Sebastiano Dall’Ora, Nicola Ponzio, Francesco Fraccaroli, Enrico Di Cataldo, Santa Vinco, Sara Macii, Enrico Fummi, Franco Cristani, Marco Dept. of Engineering for Innovation Medicine University of Verona Italy Dept. of Control and Computer Engineering Polytechnic of Turin Italy Dept. of Regional and Urban Studies and Planning Polytechnic of Turin Italy Dept. of Computer Science University of North Carolina Chapel Hill United States
Industry 4.0 involves the integration of digital technologies, such as IoT, Big Data, and AI, into manufacturing and industrial processes to increase efficiency and productivity. As these technologies become more inte... 详细信息
来源: 评论
Koopman Operators in Robot Learning
arXiv
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arXiv 2024年
作者: Shi, Lu Haseli, Masih Mamakoukas, Giorgos Bruder, Daniel Abraham, Ian Murphey, Todd Cortes, Jorge Karydis, Konstantinos Dept. of Electrical and Computer Engineering University of California Riverside United States Dept. of Mechanical and Aerospace Engineering University of California San Diego United States Dept. of Planning and Control Zoox Inc. United States Dept. of Mechanical Engineering University of Michigan United States Dept. of Mechanical Engineering Yale University United States Dept. of Mechanical Engineering Northwestern University United States Tsinghua University China
Koopman operator theory offers a rigorous treatment of dynamics and has been emerging as a powerful modeling and learning-based control method enabling significant advancements across various domains of robotics. Due ... 详细信息
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MIRROR: miRNA regulation-level differential network to study sex and ethnic disparities in cancer
MIRROR: miRNA regulation-level differential network to study...
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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)
作者: Caterina Alfano Marco Filetti Lorenzo Farina Manuela Petti Dept. of Experimental Medicine Sapienza University of Rome Rome Italy Phase 1 Unit Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy Dept. of Computer Control and Management Engineering PhD Program in Network Oncology and Precision Medicine Sapienza University of Rome Rome Italy Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy
Cancer disparities are adverse differences in cancer measures that exist among certain population groups. Given that the role they play not only in the disease prognosis but also in therapy response, there is an urgen... 详细信息
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Energy Consumption Model for LoRaWAN via Field Experiments for Smart Agriculture
Energy Consumption Model for LoRaWAN via Field Experiments f...
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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
作者: Satoshi Yamazaki Taiki Ogura Dept. of Control and Computer Engineering National Institute of Technology Numazu College Numazu Japan Dept. of Electrical Electronics and Information Engineering Nagaoka University of Technology Niigata Japan
This paper proposes a scheme to model the energy consumption of LoRaWAN, which is a popular example of low-power wide-area networks (LPWANs), nodes via the results of outdoor field experiments by assuming regional sma...
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