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3D Research Challenges in Cultural Heritage III [[electronic resource] ] : Complexity and Quality in Digitisation / / edited by Marinos Ioannides, Petros Patias
3D Research Challenges in Cultural Heritage III [[electronic resource] ] : Complexity and Quality in Digitisation / / edited by Marinos Ioannides, Petros Patias
Autore Ioannides Marinos
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (165 pages)
Disciplina 025.04
Altri autori (Persone) PatiasPetros
Collana Lecture Notes in Computer Science
Soggetto topico Information storage and retrieval systems
Computer vision
Application software
Information Storage and Retrieval
Computer Vision
Computer and Information Systems Applications
ISBN 3-031-35593-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Complexity and Quality in 3D Digitisation of the Past: Challenges and Risks Towards sustainable digitization -- Technology solutions for complex and challenging survey projects -- Evolving Standards in Digital Cultural Heritage – Developing a IIIF 3D Technical Specification -- The Quality in 3D Acquisition of Cultural Heritage Assets: Challenges and Risks -- How to measure Quality Models? Digitization into Informative Models Re-Use -- The Holistic Documentation of movable cultural heritage objects - the case of the Antikythera Mechanism -- "Digital Documentation of Reflective Objects: A cross-polarised photogrammetry workflow for complex materials".
Record Nr. UNINA-9910735588603321
Ioannides Marinos  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
3D Research Challenges in Cultural Heritage III [[electronic resource] ] : Complexity and Quality in Digitisation / / edited by Marinos Ioannides, Petros Patias
3D Research Challenges in Cultural Heritage III [[electronic resource] ] : Complexity and Quality in Digitisation / / edited by Marinos Ioannides, Petros Patias
Autore Ioannides Marinos
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (165 pages)
Disciplina 025.04
Altri autori (Persone) PatiasPetros
Collana Lecture Notes in Computer Science
Soggetto topico Information storage and retrieval systems
Computer vision
Application software
Information Storage and Retrieval
Computer Vision
Computer and Information Systems Applications
ISBN 3-031-35593-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Complexity and Quality in 3D Digitisation of the Past: Challenges and Risks Towards sustainable digitization -- Technology solutions for complex and challenging survey projects -- Evolving Standards in Digital Cultural Heritage – Developing a IIIF 3D Technical Specification -- The Quality in 3D Acquisition of Cultural Heritage Assets: Challenges and Risks -- How to measure Quality Models? Digitization into Informative Models Re-Use -- The Holistic Documentation of movable cultural heritage objects - the case of the Antikythera Mechanism -- "Digital Documentation of Reflective Objects: A cross-polarised photogrammetry workflow for complex materials".
Record Nr. UNISA-996542663803316
Ioannides Marinos  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
6G Enabled Fog Computing in IoT [[electronic resource] ] : Applications and Opportunities / / edited by Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig
6G Enabled Fog Computing in IoT [[electronic resource] ] : Applications and Opportunities / / edited by Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (416 pages)
Disciplina 004.678
Soggetto topico Computer networks
Application software
Wireless communication systems
Mobile communication systems
Computer Communication Networks
Computer and Information Systems Applications
Wireless and Mobile Communication
ISBN 3-031-30101-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Section 1: Applications -- Chapter 1: AI Enabled resources scheduling in Cloud Paradigm -- Chapter 2: Role of AI for Data Security and Privacy in 5G Healthcare Informatics -- Chapter 3: GPU based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions -- Chapter 4: Air Quality Index Prediction Using Various Machine Learning Algorithms -- Chapter 5: Leveraging Cloud Native Microservices Architecture for High Performance Real-Time Intra-day Trading: A Tutorial -- Chapter 6: HypEdge: Intelligent Sensing of Diabetes Mellitus in Healthcare 4.0 on the Cloud -- Section 2: Architecture, Systems and Services -- Chapter 7: Efficient Resource Allocation in Virtualized Cloud Platforms using Encapsulated Virtualization based Ant Colony Optimization (EVACO) -- Chapter 8: Authenticated, Secured, Intelligent and Assisted Medicine Dispensing Machine for Elderly Visual Impaired People -- Chapter 9: Prediction of Liver Disease Using Soft Computing and Data Science Approaches -- Chapter 10: Artificial Intelligence based Transfer Learning approach in Identifying and Detecting Covid-19 Virus from CT-Scan Images -- Chapter 11: Blockchain-based Medical Report Management and Distribution System -- Chapter 12: Design of 3-D Pipe Routing for Internet of Things Networks Using Genetic Algorithm -- Section 3: Further Reading -- Chapter 13: Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges -- Chapter 14: The role of machine learning in the advancement of 6G technology: opportunities and challenges -- Chapter 15: A Comprehensive Survey on Network Resource management in SDN Enabled Data Center Network -- Chapter 16: Artificial Intelligence Advancement For 6G Communication: A Visionary Approach -- Chapter 17: AI meets SDN: A survey of Artificial Intelligent techniques applied to Software-Defined Networks.
Record Nr. UNINA-9910746978203321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
6G Enabled Fog Computing in IoT [[electronic resource] ] : Applications and Opportunities / / edited by Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig
6G Enabled Fog Computing in IoT [[electronic resource] ] : Applications and Opportunities / / edited by Mohit Kumar, Sukhpal Singh Gill, Jitendra Kumar Samriya, Steve Uhlig
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (416 pages)
Disciplina 004.678
Soggetto topico Computer networks
Application software
Wireless communication systems
Mobile communication systems
Computer Communication Networks
Computer and Information Systems Applications
Wireless and Mobile Communication
ISBN 3-031-30101-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Section 1: Applications -- Chapter 1: AI Enabled resources scheduling in Cloud Paradigm -- Chapter 2: Role of AI for Data Security and Privacy in 5G Healthcare Informatics -- Chapter 3: GPU based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions -- Chapter 4: Air Quality Index Prediction Using Various Machine Learning Algorithms -- Chapter 5: Leveraging Cloud Native Microservices Architecture for High Performance Real-Time Intra-day Trading: A Tutorial -- Chapter 6: HypEdge: Intelligent Sensing of Diabetes Mellitus in Healthcare 4.0 on the Cloud -- Section 2: Architecture, Systems and Services -- Chapter 7: Efficient Resource Allocation in Virtualized Cloud Platforms using Encapsulated Virtualization based Ant Colony Optimization (EVACO) -- Chapter 8: Authenticated, Secured, Intelligent and Assisted Medicine Dispensing Machine for Elderly Visual Impaired People -- Chapter 9: Prediction of Liver Disease Using Soft Computing and Data Science Approaches -- Chapter 10: Artificial Intelligence based Transfer Learning approach in Identifying and Detecting Covid-19 Virus from CT-Scan Images -- Chapter 11: Blockchain-based Medical Report Management and Distribution System -- Chapter 12: Design of 3-D Pipe Routing for Internet of Things Networks Using Genetic Algorithm -- Section 3: Further Reading -- Chapter 13: Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges -- Chapter 14: The role of machine learning in the advancement of 6G technology: opportunities and challenges -- Chapter 15: A Comprehensive Survey on Network Resource management in SDN Enabled Data Center Network -- Chapter 16: Artificial Intelligence Advancement For 6G Communication: A Visionary Approach -- Chapter 17: AI meets SDN: A survey of Artificial Intelligent techniques applied to Software-Defined Networks.
Record Nr. UNISA-996558571003316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
6GN for Future Wireless Networks [[electronic resource] ] : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
Autore Li Jingchao
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Altri autori (Persone) ZhangBin
YingYulong
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Artificial intelligence
Computer networks
Image processing - Digital techniques
Computer vision
Signal processing
Application software
Machine learning
Artificial Intelligence
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
Computer and Information Systems Applications
Machine Learning
ISBN 3-031-53401-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intelligent Systems -- 2D Map Generation Considering 3D Spatial Information of Objects for a Guide Dog Robot -- Development of an Image Generation System for Expressing Auditory Environment to Hearing-impaired People -- Robust Object Recognition and Command Understanding for a House Tidying-up Robot -- 3D Point Cloud Based Object Recognition and 3D Mapping -- Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code -- On The Construction of Information Management System for Railroad Grouping Station Operation -- Research on short term power load forecasting based on Wavelet and BiLSTM -- Big data mining, D2D Communication, Security and Privacy for 6G Networks -- Spectrum Allocation Algorithm based on Improved Chimp Optimization Algorithm -- Research on Model Evaluation Technology Based on Modulated Signal Identification -- Parking space matching and pathplanning based on Wolf feeding decision algorithm in large underground garage -- Research on physical layer authentication method of internet of things based on contour stellar images and convolutional neural network -- Double IRS-Aided Dual-function Radar and Communication System -- Channel Estimation for RIS Communication System with Deep scaled Least Squares -- Algorithmic protection study based on a virtual location -- Artificial intelligent techniques for 6G Networks -- Subway Double-door Anti-pinch Based On RGBD Binary Classification Network -- Design and Implementation of Intelligent IoT Paper Pumping System Based on Face Recognition of Loongson Processor -- Aluminum Defect Detection based on Weighted Feature Fusion Mechanism -- MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks -- Improved solar photovoltaic panel defect detection technology based on YOLOv5 -- YOLO-L:A YOLO-BASED ALGORITHM FOR REMOTE SENSING IMAGE TARGET DETECTION -- Power and Energy Systems I -- An effective N-BEATS network model for short term load forecasting -- A Novel Ultra Short-Term Load Forecasting Algorithm of a Small Microgrid Based on Support Vector Regression -- Laser welding process of lithium battery lugs based on finite element simulation -- Failure and Stress Analysis of Cylindrical Springs -- Detection of Corrosion Areas in Power Equipment Based on Improved YOLOv5s Algorithm with CBAM Attention Mechanism -- Power and Energy Systems -- TASE-net: a short-term load forecasting model based on Temperature Accumulation Sequence Effect -- Predicting time series energy consumption based on Transformer and LSTM -- Predicting Wind Turbine Power Output based on XGBoost -- Loop Closure Detection Based on Local and Global Descriptors with Sinkhorn Algorithm -- Stainless steel crack detection based on MATLAB -- Power and Energy Systems -- A new combination model for offshore wind power prediction considering the number of climbing features -- Fault Diagnosis Method of Gas Turbine Combustion Chamber Based on CNN-GRU Model Analysis -- Research on Key Intelligent System in Unmanned Surface Vessel -- Simulation research on thermal management of hydrogen fuel cell for UAV -- Performance analysis on a coupled system of gas turbine and air cycle driven by waste heat of flue gas. .
Record Nr. UNINA-9910842495003321
Li Jingchao  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (406 pages)
Disciplina 929.605
Collana Communications in Computer and Information Science
Soggetto topico Computer systems
Artificial intelligence
Image processing - Digital techniques
Computer vision
Social sciences - Data processing
Application software
Education - Data processing
Computer System Implementation
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
Computers and Education
ISBN 3-031-23606-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
Record Nr. UNISA-996508666903316
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation [[electronic resource] ] : 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23–25, 2022, Revised Selected Papers / / edited by Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (406 pages)
Disciplina 929.605
Collana Communications in Computer and Information Science
Soggetto topico Computer systems
Artificial intelligence
Image processing - Digital techniques
Computer vision
Social sciences - Data processing
Application software
Education - Data processing
Computer System Implementation
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
Computers and Education
ISBN 3-031-23606-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foundational Methods Enabling Science in an Integrated Ecosystem -- Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models -- Self-learning Data Foundation for Scientific AI -- Preconditioners for batched iterative linear solvers on GPUs -- Mobility Aware Computation Offloading Model for Edge Computing -- Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem -- Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials -- A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management -- At-the-edge Data Processing for Low Latency High Throughput Machine Learning Algorithms -- Implementation of a framework for deploying AI inference engines in FPGAs -- Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem -- Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data -- Virtual Infrastructure Twins: Software Testing Platforms for Computing and Instrument Ecosystems -- The INTERSECT Open Federated Architecture for the Laboratory of the Future -- Real-Time Edge Processing During Data Acquisition -- Towards a Software Development Framework for Interconnected Science Ecosystems -- Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem -- Adrastea: An Efficient FPGA Design Environment for Heterogenous Scientific Computing and Machine Learning -- Toward an Autonomous Workflow for Bragg Peak Detection at SNS -- Industrial experience deploying heterogeneous platforms for use in multi-modal power systems design workflows -- Self-Describing Digital Assets and their applications in an Integrated Science and Engineering Ecosystem -- Simulation Workflows in Minutes, at Scale for Next-Generation HPC -- Scientific Data Challenges -- Machine Learning approaches to High Throughput Phenotyping -- SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2 -- Usage Pattern Analysis for The Summit Login Nodes -- Finding Hidden Patterns in High Resolution Wind Flow Model Simulations -- Investigating Relationships in Environmental and Community Health: Correlations Of Environment, Urban Morphology, And Socio-Economic Factors In The Los Angeles Metropolitan Statistical Area -- Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation.
Record Nr. UNINA-9910645891503321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Active Inference [[electronic resource] ] : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Active Inference [[electronic resource] ] : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
Autore Buckley Christopher L
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (293 pages)
Disciplina 006.3
Altri autori (Persone) CialfiDaniela
LanillosPablo
RamsteadMaxwell
SajidNoor
ShimazakiHideaki
VerbelenTim
WisseMartijn
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer science - Mathematics
Mathematical statistics
Computer networks
Application software
Computers, Special purpose
Software engineering
Artificial Intelligence
Probability and Statistics in Computer Science
Computer Communication Networks
Computer and Information Systems Applications
Special Purpose and Application-Based Systems
Software Engineering
ISBN 3-031-47958-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Active Inference and Robotics -- Contextual Qualitative Deterministic Models for Self-Learning Embodied Agents -- Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference -- Decision-making and Control -- Towards Metacognitive Robot Decision Making for Tool Selection -- Understanding Tool Discovery and Tool Innovation Using Active Inference -- Efficient Motor Learning Through Action-perception Cycles in Deep Kinematic Inference -- Active Inference and Psychology -- Towards Understanding Persons and their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework -- On Embedded Normativity - An Active Inference Account of Agency Beyond Flesh -- A Model of Agential Learning Using Active Inference -- From Theory to Implementation -- Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-making -- An Analytical Model of Active Inference in the Iterated Prisoner’s Dilemma -- Toward Design of Synthetic Active Inference Agents by Mere Mortals -- Learning Representations for Active Inference -- Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory -- Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments -- Relative Representations for Cognitive Graphs -- Theory of Learning and Inference -- Active Inference in Hebbian Learning Networks -- Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks -- Probabilistic Majorization of Partially Observable Markov Decision Processes.
Record Nr. UNINA-9910765494503321
Buckley Christopher L  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Ad Hoc Networks [[electronic resource] ] : 14th EAI International Conference, AdHocNets 2023, Hanoi, Vietnam, November 10-11, 2023, Proceedings / / edited by Nguyen Thi Dieu Linh, Manh Kha Hoang, Trong Hop Dang
Ad Hoc Networks [[electronic resource] ] : 14th EAI International Conference, AdHocNets 2023, Hanoi, Vietnam, November 10-11, 2023, Proceedings / / edited by Nguyen Thi Dieu Linh, Manh Kha Hoang, Trong Hop Dang
Autore Thi Dieu Linh Nguyen
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (214 pages)
Disciplina 004.6
Altri autori (Persone) HoangManh Kha
DangTrong Hop
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Application software
Computer systems
Computers, Special purpose
Computer Communication Networks
Computer and Information Systems Applications
Computer System Implementation
Special Purpose and Application-Based Systems
ISBN 3-031-55993-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intelligent Integrated Systems -- Combining MUSIC Algorithm and Adaptive Beamforming to Improve Online Call Quality -- Non-inverting Buck-Boost DC-DC Converter with Three-mode Selection Circuit -- Two Embedding Algorithms in Schur-based Image Watermarking Scheme -- Metaheuristics-Based Hyperparameter Tuning for Convolutional Neural Networks -- Antenna Array Pattern Nulling via Convex Optimization -- Wireless Communications -- Interference suppression approaches utilizing phase-only control and metaheuristics algorithms: A comparative study -- Reconfigurable Intelligent Surface-Aided Wireless Communications Considering Interference Suppression -- Nature Inspired Algorithms-Based Beamforming for Advanced Antenna Systems -- Investigation of Transmit Antenna Selection for MU-VASM Systems over Correlated Channels -- Millimeter Wave Path Loss Modeling for UAV Communications Using Deep Learning -- Network Solutions -- Enhance secrecy performance of the cooperative NOMA/UAV network applying NSGA-II algorithm -- Fake news detection based on multi-view fuzzy clustering algorithm -- An efficient approach to the $k$-strong barrier coverage problem under the probabilistic sensing model in wireless multimedia sensor networks -- An efficient method for solving the best coverage path problem in homogeneous wireless Ad-hoc sensor networks -- Performance of Uplink Ultra Dense Network with Antenna Selection.
Record Nr. UNINA-9910845481403321
Thi Dieu Linh Nguyen  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive and Natural Computing Algorithms [[electronic resource] ] : 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II / / edited by Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernadete Ribeiro
Adaptive and Natural Computing Algorithms [[electronic resource] ] : 8th International Conference, ICANNGA 2007, Warsaw, Poland, April 11-14, 2007, Proceedings, Part II / / edited by Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernadete Ribeiro
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Descrizione fisica 1 online resource (776 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer programming
Application software
Artificial intelligence
Computer science
Algorithms
Software engineering
Programming Techniques
Computer and Information Systems Applications
Artificial Intelligence
Theory of Computation
Software Engineering
ISBN 1-280-95153-2
9786610951536
3-540-71629-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Neural Networks -- Support Vector Machines -- Biomedical Signal and Image Processing -- Biometrics -- Computer Vision -- Control and Robotics.
Record Nr. UNISA-996465299003316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui