2024 Ieee Workshop On Signal Processing Systems Sips
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2024 Ieee Workshop On Signal Processing Systems Sips
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2024-11-04
2024 Ieee Workshop On Signal Processing Systems Sips written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-04 with Technology & Engineering categories.
Efficient algorithms, architectures, software, design tools and approaches for real time signal processing
Pattern Recognition Icpr 2024 International Workshops And Challenges
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Author : Shivakumara Palaiahnakote
language : en
Publisher: Springer Nature
Release Date : 2025-05-09
Pattern Recognition Icpr 2024 International Workshops And Challenges written by Shivakumara Palaiahnakote and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-09 with Computers categories.
This 6-volume set LNCS 15614-15619 constitutes the proceedings of the ICPR 2024 International Workshops and Challenges held under the umbrella of the 27th International Conference on Pattern Recognition, ICPR 2024, which took place in Kolkata, India, during December 1–5, 2024. The 183 full papers presented in these 6 volumes were carefully reviewed and selected from numerous submissions. The 21 ICPR 2024 workshops addressed problems in pattern recognition, artificial intelligence, computer vision, and image and sound analysis, and the contributions reflect the most recent applications related to healthcare, biometrics, ethics, multimodality, cultural heritage, imagery, affective computing, and de-escalation.
Computer Vision Eccv 2024
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Author : Aleš Leonardis
language : en
Publisher: Springer Nature
Release Date : 2024-11-28
Computer Vision Eccv 2024 written by Aleš Leonardis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Computers categories.
The multi-volume set of LNCS books with volume numbers 15059 upto 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as Computer vision, Machine learning, Deep neural networks, Reinforcement learning, Object recognition, Image classification, Image processing, Object detection, Semantic segmentation, Human pose estimation, 3D reconstruction, Stereo vision, Computational photography, Neural networks, Image coding, Image reconstruction and Motion estimation.
Intelligent Human Systems Integration Ihsi 2024 Integrating People And Intelligent Systems
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Author : Tareq Ahram
language : en
Publisher: AHFE International
Release Date : 2024-02-22
Intelligent Human Systems Integration Ihsi 2024 Integrating People And Intelligent Systems written by Tareq Ahram and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-22 with Education categories.
Intelligent Human Systems Integration 2024 Proceedings of the 7th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems, Universita? degli Studi di Palermo, Palermo, Italy, February 22- 24, 2024
Human Friendly Robotics 2024
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Author : Antonio Paolillo
language : en
Publisher: Springer Nature
Release Date : 2025-02-25
Human Friendly Robotics 2024 written by Antonio Paolillo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Technology & Engineering categories.
This book covers a wide range of topics related to human-robot interaction, both physical and cognitive, including theories, methodologies, technologies, and experimental studies. An increasing number of robots operate closely with humans and are expected to interact with people in everyday life, such as patients in hospitals, children in schools, or elderly people in domestic environments. New generations of human-friendly robots must meet the needs of these non-expert users, ensuring safety and trustworthiness both physically and cognitively. To realize this vision, the International Workshop on Human-Friendly Robotics (HFR) provides an opportunity for academic, research, and industry experts to exchange and share their experiences and achievements related to the integration of robots into everyday life. The 17th edition of HFR took place in Lugano, Switzerland, on September 30 and October 1, 2024, and organized by Dalle Molle Institute for Artificial Intelligence (IDSIA), USI-SUPSI.
Computational Science Iccs 2025 Workshops
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Author : Maciej Paszynski
language : en
Publisher: Springer Nature
Release Date : 2025-08-06
Computational Science Iccs 2025 Workshops written by Maciej Paszynski and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
The 6-volume set constitutes the workshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7–9, 2025. The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections: Volume I: Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science. Volume II: Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation. Volume III: Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy. Volume IV: Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations. Volume V: (Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation. Volume VI: Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.
Exploring The Fusion Of Quantum Computing And Machine Learning
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Author : R.I., Minu
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Exploring The Fusion Of Quantum Computing And Machine Learning written by R.I., Minu and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.
The fusion of quantum computing and machine learning holds the potential to revolutionize how we solve complex problems. Quantum computing, with its ability to process vast amounts of data through the principles of quantum mechanics, could accelerate machine learning algorithms, enabling faster and more efficient pattern recognition, optimization, and decision-making. This convergence helps overcome limitations faced by classical computing in fields like artificial intelligence, drug discovery, cryptography, and more. As researchers continue to explore this fusion, the potential applications of quantum-enhanced machine learning increase, opening new possibilities for innovation and problem-solving across industries. Exploring the Fusion of Quantum Computing and Machine Learning explores the revolutionary fusion of quantum computing and machine learning. It examines practical applications, demonstrating how the integration of quantum computing and machine learning algorithms can reveal new solutions for complex problems, paving the way for advancements in various fields. This book covers topics such as neural networks, online marketing, and quantum systems, and is a useful resource for computer engineers, energy scientists, marketers, business owners, medical professionals, academicians, and researchers.
Intelligent Robotics And Applications
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Author : Xuguang Lan
language : en
Publisher: Springer Nature
Release Date : 2025-01-23
Intelligent Robotics And Applications written by Xuguang Lan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-23 with Computers categories.
The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi’an, China, during July 31–August 2, 2024. The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions. They were organized in topical sections as follows: Part I: Innovative Design and Performance Evaluation of Robot Mechanisms. Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems. Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics. Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots. Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots. Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics; and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements. Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation. Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments. Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving. Part X: AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.
Artificial Neural Networks And Machine Learning Icann 2024
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Author : Michael Wand
language : en
Publisher: Springer Nature
Release Date : 2024-09-17
Artificial Neural Networks And Machine Learning Icann 2024 written by Michael Wand and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Computers categories.
The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.
Synaptic Circuits And Functions In Bio Inspired Integrated Architectures
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Author : Ole Richter
language : en
Publisher: University of Groningen
Release Date : 2024-10-15
Synaptic Circuits And Functions In Bio Inspired Integrated Architectures written by Ole Richter and has been published by University of Groningen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Technology & Engineering categories.
Based upon the most advanced human-made technology on this planet, CMOS integrated circuit technology, this dissertation examines the design of hardware components and systems to establish a technological foundation for the application of future breakthroughs in the intersection of AI and neuroscience. Humans have long imagined machines, robots, and computers that learn and display intelligence akin to animals and themselves. To advance the development of these machines, specialised research in custom-built hardware designed for specific types of computation, which mirrors the structure of powerful biological nervous systems, is especially important. This dissertation is driven by the quest to harness biological and artificial neural principles to enhance the efficiency, adaptability, and intelligence of electronic neurosynaptic and neuromorphic hardware systems. It investigates the hardware design of bio-inspired neural components and their integration into more extensive scale and efficient chip architectures suitable for edge processing and near-sensor environments. Exploring all steps to the creation of a custom chip, this work selectively surveys and advances the state-of-the-art in bio-inspired mixed-signal subthreshold integrated design for neurosynaptic systems in a practical fashion. Further, it presents a novel asynchronous digital convolutional neuronal network processing pipeline integrated with a vision sensor for smart sensing. In conclusion, it sets forth a series of open challenges and future directions for the field, emphasizing the need for a robust, future-proof base for bio-inspired design and the potential of asynchronous stream processor architectures.