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Digital Ecosystems: Interconnecting Advanced Networks with AI Applications / / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Alexander Schill
| Digital Ecosystems: Interconnecting Advanced Networks with AI Applications / / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Alexander Schill |
| Autore | Luntovskyy Andriy |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (918 pages) |
| Disciplina | 621.3 |
| Altri autori (Persone) |
KlymashMikhailo
MelnykIgor BeshleyMykola SchillAlexander |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Computational intelligence Electrical and Electronic Engineering Computational Intelligence |
| ISBN |
9783031612213
3031612213 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910878056503321 |
Luntovskyy Andriy
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Future Intent-Based Networking : On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks
| Future Intent-Based Networking : On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks |
| Autore | Klymash Mikhailo |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (531 pages) |
| Altri autori (Persone) |
BeshleyMykola
LuntovskyyAndriy |
| Collana | Lecture Notes in Electrical Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030924355
9783030924331 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Introduction -- Acknowledgment -- Contents -- Future Intent-Based Networking for QoE-Driven Business Models -- 1 Introduction -- 2 Intent-Based Networking for Adaptive Business Process Management -- 3 Future Insights of QoE Based Network Management -- 4 Conclusion -- References -- Designing HDS Under Considering of QoS Robustness and Security for Heterogeneous IBN -- 1 Motivation and Introduction: HDS for IBN -- 2 Designing HDS -- 2.1 Distributed Systems -- 2.2 Highly-Distributed Systems -- 2.3 HDS Construction Paradigms π1-π4 -- 2.4 Demarcation of Web Services and Micro-services -- 2.5 Three Main Questions -- 3 Service Composition in Highly-Distributed Systems -- 4 Considering of QoS Robustness and Security -- 4.1 QoS Robustness and QoE -- 4.2 CIDN for IBN -- 5 Summarizing -- 6 Conclusions and Outlook -- References -- Intent-Based Placement of Microservices in Computing Continuums -- 1 Introduction -- 2 Placement, Migration and Other Software Engineering Concerns -- 3 Matchmaking as Planning Phase for Initial Placement -- 3.1 Example Description -- 3.2 Preliminaries: Definitions and Models -- 3.3 Greedy Matching -- 3.4 Rule-Based Matching -- 3.5 SAT Solver Matching -- 3.6 Towards Advanced Intent-Based Matching and Placement -- 4 Conclusion -- References -- Infrastructure as Code and Microservices for Intent-Based Cloud Networking -- 1 Introduction -- 2 AIOps and Benefits of Infrastructure as Code -- 3 GCP Cloud Functions for Microservices -- 4 GCP Cloud Run - Highly Scalable Containerized Applications -- 5 Conclusion -- References -- Intent-Based Adaptation Coordination of Highly Decentralized Networked Self-adaptive Systems -- 1 Introduction -- 2 Application Scenario -- 3 Intent-Based Self-adaptation with Roles -- 3.1 The MAPE-K Control Loop -- 3.2 Patterns for Decentralization in Control Loops -- 3.3 Foundations of Roles.
3.4 The Compartment Role Object Model (CROM) -- 3.5 Scala Roles Language (SCROLL) -- 3.6 Modelling Runtime Adaptations -- 3.7 Conceptual Framework for Intent-Based Adaptation Coordination -- 4 Case Study -- 4.1 Monitoring Component -- 4.2 Analysis and Planning -- 4.3 Decentralized Execution of Adaptation Plans -- 5 Conclusion and Future Work -- References -- Intent-Based Routing in Delay- and Disruption-Tolerant Networks -- 1 Introduction -- 2 Foundations -- 2.1 Delay-/Disruption-Tolerant Networking -- 2.2 Intent-Based Networking -- 2.3 Self-Adaptive Systems -- 3 Toward an Intent-Based DTN -- 3.1 Example Scenario -- 3.2 An Intent-Based Networking Approach for DTN -- 3.3 Self-Adaptation Concepts for Intent-Based DTN -- 3.4 Open Issues for Intent-Based DTN -- 4 Adaptive DTN Routing -- 4.1 Contact Prediction-Based DTN Routing -- 4.2 Adaptation of the Routing Algorithm -- 4.3 Application to Example Scenario -- 5 A Multicast Approach for Intent-Based Node Configuration -- 5.1 Multicast in Deterministic DTN -- 5.2 SPSN-Based Multicast -- 5.3 Application to Example Scenario -- 6 Future Research Directions -- 7 Conclusion -- References -- QoE-Oriented Routing Model for the Future Intent-Based Networking -- 1 Introduction -- 2 QoE-Aware Intent-Based Networking Architecture -- 3 The QoE Video Streaming Evaluation Method Through the QoS/QoE Correlation Model -- 4 Intent-Based Software-Defined Network Testbed with QoE-Aware Routing Realization -- 5 Conclusion -- References -- Complex Investigation of the Compromise Probability Behavior in Traffic Engineering Oriented Secure Routing Model in Software-Defined Networks -- 1 Introduction -- 2 Traffic Engineering Oriented Secure Routing Model -- 3 Link Blocking Models in Secure Based Traffic Engineering -- 4 Numerical Research of Secure Based Traffic Engineering Model on SDN Data Plane -- 5 Conclusion -- References. Intelligent Traffic Engineering for Future Intent-Based Software-Defined Transport Network -- 1 Introduction -- 2 Intent-Based Software-defined Transport Network Architecture Based on Neural Networks and Machine Learning -- 3 IBSDTN State Detection Algorithm Based on ML K-Means and C-Means -- 4 An Intelligent Traffic Engineering Method Based on Graph Neural Networks for IBSDTN -- 5 The Development of IBSDTN Simulation Model -- 6 Simulation Results -- 7 Conclusion -- References -- The Approach to Flow Management in Virtual Computational Environment for Up-to-Day Telecom Networks -- 1 Introduction -- 2 Description of Processes in SDN Controller -- 3 Statement of the Research Task. Method of Organizing Functions "Infinity Train" -- 4 Ensuring the Sufficiency of the Resources at All Times -- 5 The Specifics of Creating Virtual Machines in Dynamic Mode and the Technologies for Their Implementation -- 6 Description of the Experiment -- 7 Conclusions -- References -- Calculation of Quality Indicators of the Future Multiservice Network -- 1 Introduction -- 1.1 Analysis of the Quality of the Multiservice Network -- 2 Statement of Research Problem -- 2.1 Evaluation of the Quality Indicators of the Multiservice Network -- 3 Conclusions -- References -- Intelligent Detection of DDoS Attacks in SDN Networks -- 1 Introduction -- 2 Concept of Intelligent Detection of DDoS Attacks in SDN Networks Using Machine Learning -- 2.1 General Concept -- 2.2 The Principle of Log Analysis -- 3 Implementation of Protection from DDoS Attacks Based on Analysis of the Service Information -- 3.1 Web Applications Security Monitoring Using Log Analysis Subsystem -- 3.2 Attack Detection Using Kulbak-Leibler Approach -- 3.3 Machine Learning and Attack Detection -- 4 Conclusion -- References. Mathematical Methods of Reliability Analysis of the Network Structures: Securing QoS on Hyperconverged Networks for Traffic Anomalies -- 1 Introduction -- 1.1 Motivation -- 1.2 Analysis of Related Works -- 1.3 Goals and Structure -- 2 Statistical Characteristics of Hyperconverged Network Traffic -- 3 Defining the Limits of cChanges in Traffic Properties -- 4 Mathematical Model of Abnormal Traffic in a Hyperconverged Network -- 5 Discussion -- 6 Conclusion -- References -- Parametric Analysis of Statistical and Correlation Characteristics of Discrete Processes in Dynamic Systems with Non-stationary Nonlinearities in Time for the Secure Intent-Based Networks -- 1 Introduction -- 2 Algorithms for Generating Random-Like Processes -- 3 Estimation of Statistical and Spectral-Temporal Characteristics of Processes Formed by a System with Two Degrees of Freedom -- 3.1 Statistical Indicators of the Generated Process Quality -- 3.2 Correlation Properties of the Generated Process -- 4 Estimation of Statistical and Temporal Characteristics of Processes Formed by a System with Three Degrees of Freedom -- 4.1 Statistical Indicators of the Quality of the Generated Process -- 4.2 Correlation Properties of the Generated Process -- 5 Conclusions and Practical Recommendations -- References -- Methodology of ISMS Establishment Against Modern Cybersecurity Threats -- 1 Introduction -- 2 Analysis of Attack Vectors -- 3 Analysis of Cybersecurity Frameworks -- 4 Educational Roadmap for Cyber Security Specialists -- 5 ISMS Implementation Model -- 6 Conclusion -- References -- QoE Estimation Methodology for 5G Use Cases -- 1 Introduction -- 2 Previous Research Analysis -- 3 Problem Statement -- 4 QoE-QoS Estimation Methodology for the 5G Use Cases -- 4.1 5G Use Cases Classification -- 4.2 QoE Estimation Methodology -- 4.3 QoE Estimation Methodology Implementation. 5 Conclusions -- References -- Software Implementation Research of Self-similar Traffic Characteristics of Mobile Communication Networks -- 1 Introduction -- 2 The Self-similar Traffic in Mobile Networks -- 2.1 Research of Quality Characteristics of Self-similar Traffic -- 3 Practical Recommendations for Using the Results of Research Quality Characteristics in Mobile Networks -- 4 Conclusions -- References -- Universal Method of Multidimensional Signal Formation for Any Multiplicity of Modulation in 5G Mobile Network -- 1 Introduction -- 2 Analysis of the Literature Data and the Problem Statement -- 3 The Purpose and Objectives of the Study -- 4 Special Elements -- 5 Modeling a Multidimensional Information Transmission System Based on a Multidimensional Signal -- 6 Discussion of the Study Results of the Noise Immunity of 5G Mobile Networks Based on a Multidimensional Signal with Amplitude-Phase Difference Modulation -- 7 Conclusions -- References -- AI-Enabled Blockchain Framework for Dynamic Spectrum Management in Multi-operator 6G Networks -- 1 Introduction -- 2 Blockchain and AI-Empowered 6G Framework -- 3 Deep Learning-Based Intelligent Multi-operator Spectrum Management in 6G -- 4 Simulation Results and Performance Analysis of the AI-Based Spectrum Management Workflow -- 5 Conclusion -- References -- Estimation of Energy Efficiency and Quality of Service in Cloud Realizations of Parallel Computing Algorithms for IBN -- 1 Introduction and Motivation -- 2 QoS Control for IBN and Algorithm Parallelization Under Use of Matrix Approach -- 2.1 Arithmetic-Logic Relations and Recurrent Matrixes -- 2.2 Estimation of the Level of Algorithm Parallelization by Analyzing the Structure of Recurrent Matrixes -- 2.3 Efficiency of Algorithm Parallelization for IBN Under Use of Standard Programming Techniques and Functions. 2.4 QoS Control for IBN and Real-Time Capability. |
| Record Nr. | UNINA-9910512183203321 |
|
Klymash Mikhailo
|
||
| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Future intent-based networking : on the QoS robust and energy efficient heterogenous software defined networks / / Mikhailo Klymash, Mykola Beshley and Andriy Luntovskyy
| Future intent-based networking : on the QoS robust and energy efficient heterogenous software defined networks / / Mikhailo Klymash, Mykola Beshley and Andriy Luntovskyy |
| Autore | Klymash Mikhailo |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2021] |
| Descrizione fisica | 1 online resource (531 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Electrical engineering - Data processing |
| ISBN | 3-030-92435-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Introduction -- Acknowledgment -- Contents -- Future Intent-Based Networking for QoE-Driven Business Models -- 1 Introduction -- 2 Intent-Based Networking for Adaptive Business Process Management -- 3 Future Insights of QoE Based Network Management -- 4 Conclusion -- References -- Designing HDS Under Considering of QoS Robustness and Security for Heterogeneous IBN -- 1 Motivation and Introduction: HDS for IBN -- 2 Designing HDS -- 2.1 Distributed Systems -- 2.2 Highly-Distributed Systems -- 2.3 HDS Construction Paradigms π1-π4 -- 2.4 Demarcation of Web Services and Micro-services -- 2.5 Three Main Questions -- 3 Service Composition in Highly-Distributed Systems -- 4 Considering of QoS Robustness and Security -- 4.1 QoS Robustness and QoE -- 4.2 CIDN for IBN -- 5 Summarizing -- 6 Conclusions and Outlook -- References -- Intent-Based Placement of Microservices in Computing Continuums -- 1 Introduction -- 2 Placement, Migration and Other Software Engineering Concerns -- 3 Matchmaking as Planning Phase for Initial Placement -- 3.1 Example Description -- 3.2 Preliminaries: Definitions and Models -- 3.3 Greedy Matching -- 3.4 Rule-Based Matching -- 3.5 SAT Solver Matching -- 3.6 Towards Advanced Intent-Based Matching and Placement -- 4 Conclusion -- References -- Infrastructure as Code and Microservices for Intent-Based Cloud Networking -- 1 Introduction -- 2 AIOps and Benefits of Infrastructure as Code -- 3 GCP Cloud Functions for Microservices -- 4 GCP Cloud Run - Highly Scalable Containerized Applications -- 5 Conclusion -- References -- Intent-Based Adaptation Coordination of Highly Decentralized Networked Self-adaptive Systems -- 1 Introduction -- 2 Application Scenario -- 3 Intent-Based Self-adaptation with Roles -- 3.1 The MAPE-K Control Loop -- 3.2 Patterns for Decentralization in Control Loops -- 3.3 Foundations of Roles.
3.4 The Compartment Role Object Model (CROM) -- 3.5 Scala Roles Language (SCROLL) -- 3.6 Modelling Runtime Adaptations -- 3.7 Conceptual Framework for Intent-Based Adaptation Coordination -- 4 Case Study -- 4.1 Monitoring Component -- 4.2 Analysis and Planning -- 4.3 Decentralized Execution of Adaptation Plans -- 5 Conclusion and Future Work -- References -- Intent-Based Routing in Delay- and Disruption-Tolerant Networks -- 1 Introduction -- 2 Foundations -- 2.1 Delay-/Disruption-Tolerant Networking -- 2.2 Intent-Based Networking -- 2.3 Self-Adaptive Systems -- 3 Toward an Intent-Based DTN -- 3.1 Example Scenario -- 3.2 An Intent-Based Networking Approach for DTN -- 3.3 Self-Adaptation Concepts for Intent-Based DTN -- 3.4 Open Issues for Intent-Based DTN -- 4 Adaptive DTN Routing -- 4.1 Contact Prediction-Based DTN Routing -- 4.2 Adaptation of the Routing Algorithm -- 4.3 Application to Example Scenario -- 5 A Multicast Approach for Intent-Based Node Configuration -- 5.1 Multicast in Deterministic DTN -- 5.2 SPSN-Based Multicast -- 5.3 Application to Example Scenario -- 6 Future Research Directions -- 7 Conclusion -- References -- QoE-Oriented Routing Model for the Future Intent-Based Networking -- 1 Introduction -- 2 QoE-Aware Intent-Based Networking Architecture -- 3 The QoE Video Streaming Evaluation Method Through the QoS/QoE Correlation Model -- 4 Intent-Based Software-Defined Network Testbed with QoE-Aware Routing Realization -- 5 Conclusion -- References -- Complex Investigation of the Compromise Probability Behavior in Traffic Engineering Oriented Secure Routing Model in Software-Defined Networks -- 1 Introduction -- 2 Traffic Engineering Oriented Secure Routing Model -- 3 Link Blocking Models in Secure Based Traffic Engineering -- 4 Numerical Research of Secure Based Traffic Engineering Model on SDN Data Plane -- 5 Conclusion -- References. Intelligent Traffic Engineering for Future Intent-Based Software-Defined Transport Network -- 1 Introduction -- 2 Intent-Based Software-defined Transport Network Architecture Based on Neural Networks and Machine Learning -- 3 IBSDTN State Detection Algorithm Based on ML K-Means and C-Means -- 4 An Intelligent Traffic Engineering Method Based on Graph Neural Networks for IBSDTN -- 5 The Development of IBSDTN Simulation Model -- 6 Simulation Results -- 7 Conclusion -- References -- The Approach to Flow Management in Virtual Computational Environment for Up-to-Day Telecom Networks -- 1 Introduction -- 2 Description of Processes in SDN Controller -- 3 Statement of the Research Task. Method of Organizing Functions "Infinity Train" -- 4 Ensuring the Sufficiency of the Resources at All Times -- 5 The Specifics of Creating Virtual Machines in Dynamic Mode and the Technologies for Their Implementation -- 6 Description of the Experiment -- 7 Conclusions -- References -- Calculation of Quality Indicators of the Future Multiservice Network -- 1 Introduction -- 1.1 Analysis of the Quality of the Multiservice Network -- 2 Statement of Research Problem -- 2.1 Evaluation of the Quality Indicators of the Multiservice Network -- 3 Conclusions -- References -- Intelligent Detection of DDoS Attacks in SDN Networks -- 1 Introduction -- 2 Concept of Intelligent Detection of DDoS Attacks in SDN Networks Using Machine Learning -- 2.1 General Concept -- 2.2 The Principle of Log Analysis -- 3 Implementation of Protection from DDoS Attacks Based on Analysis of the Service Information -- 3.1 Web Applications Security Monitoring Using Log Analysis Subsystem -- 3.2 Attack Detection Using Kulbak-Leibler Approach -- 3.3 Machine Learning and Attack Detection -- 4 Conclusion -- References. Mathematical Methods of Reliability Analysis of the Network Structures: Securing QoS on Hyperconverged Networks for Traffic Anomalies -- 1 Introduction -- 1.1 Motivation -- 1.2 Analysis of Related Works -- 1.3 Goals and Structure -- 2 Statistical Characteristics of Hyperconverged Network Traffic -- 3 Defining the Limits of cChanges in Traffic Properties -- 4 Mathematical Model of Abnormal Traffic in a Hyperconverged Network -- 5 Discussion -- 6 Conclusion -- References -- Parametric Analysis of Statistical and Correlation Characteristics of Discrete Processes in Dynamic Systems with Non-stationary Nonlinearities in Time for the Secure Intent-Based Networks -- 1 Introduction -- 2 Algorithms for Generating Random-Like Processes -- 3 Estimation of Statistical and Spectral-Temporal Characteristics of Processes Formed by a System with Two Degrees of Freedom -- 3.1 Statistical Indicators of the Generated Process Quality -- 3.2 Correlation Properties of the Generated Process -- 4 Estimation of Statistical and Temporal Characteristics of Processes Formed by a System with Three Degrees of Freedom -- 4.1 Statistical Indicators of the Quality of the Generated Process -- 4.2 Correlation Properties of the Generated Process -- 5 Conclusions and Practical Recommendations -- References -- Methodology of ISMS Establishment Against Modern Cybersecurity Threats -- 1 Introduction -- 2 Analysis of Attack Vectors -- 3 Analysis of Cybersecurity Frameworks -- 4 Educational Roadmap for Cyber Security Specialists -- 5 ISMS Implementation Model -- 6 Conclusion -- References -- QoE Estimation Methodology for 5G Use Cases -- 1 Introduction -- 2 Previous Research Analysis -- 3 Problem Statement -- 4 QoE-QoS Estimation Methodology for the 5G Use Cases -- 4.1 5G Use Cases Classification -- 4.2 QoE Estimation Methodology -- 4.3 QoE Estimation Methodology Implementation. 5 Conclusions -- References -- Software Implementation Research of Self-similar Traffic Characteristics of Mobile Communication Networks -- 1 Introduction -- 2 The Self-similar Traffic in Mobile Networks -- 2.1 Research of Quality Characteristics of Self-similar Traffic -- 3 Practical Recommendations for Using the Results of Research Quality Characteristics in Mobile Networks -- 4 Conclusions -- References -- Universal Method of Multidimensional Signal Formation for Any Multiplicity of Modulation in 5G Mobile Network -- 1 Introduction -- 2 Analysis of the Literature Data and the Problem Statement -- 3 The Purpose and Objectives of the Study -- 4 Special Elements -- 5 Modeling a Multidimensional Information Transmission System Based on a Multidimensional Signal -- 6 Discussion of the Study Results of the Noise Immunity of 5G Mobile Networks Based on a Multidimensional Signal with Amplitude-Phase Difference Modulation -- 7 Conclusions -- References -- AI-Enabled Blockchain Framework for Dynamic Spectrum Management in Multi-operator 6G Networks -- 1 Introduction -- 2 Blockchain and AI-Empowered 6G Framework -- 3 Deep Learning-Based Intelligent Multi-operator Spectrum Management in 6G -- 4 Simulation Results and Performance Analysis of the AI-Based Spectrum Management Workflow -- 5 Conclusion -- References -- Estimation of Energy Efficiency and Quality of Service in Cloud Realizations of Parallel Computing Algorithms for IBN -- 1 Introduction and Motivation -- 2 QoS Control for IBN and Algorithm Parallelization Under Use of Matrix Approach -- 2.1 Arithmetic-Logic Relations and Recurrent Matrixes -- 2.2 Estimation of the Level of Algorithm Parallelization by Analyzing the Structure of Recurrent Matrixes -- 2.3 Efficiency of Algorithm Parallelization for IBN Under Use of Standard Programming Techniques and Functions. 2.4 QoS Control for IBN and Real-Time Capability. |
| Record Nr. | UNINA-9910522917403321 |
|
Klymash Mikhailo
|
||
| Cham, Switzerland : , : Springer International Publishing, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Networks and Sustainability : Smart Grid, Data Science, and Smart Applications / / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Dietbert Gütter
| Networks and Sustainability : Smart Grid, Data Science, and Smart Applications / / edited by Andriy Luntovskyy, Mikhailo Klymash, Igor Melnyk, Mykola Beshley, Dietbert Gütter |
| Autore | Luntovskyy Andriy |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (1066 pages) |
| Disciplina | 621.3 |
| Altri autori (Persone) |
KlymashMikhailo
MelnykIgor BeshleyMykola GütterDietbert |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Computational intelligence Electrical and Electronic Engineering Computational Intelligence |
| ISBN | 3-032-02272-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart Cyber-Physical System for Radiation Analytics and Public Environmental Safety in Ukraine -- Cooperative Intelligence in Distributed Network Observations for Sustainable Smart Cities -- Consciousness and Artificial Intelligence -- Geospatial Multi-Criteria AI-Driven Analysis of Rural Development in Ukraine During the War -- Quantum Computing: Applications and Challenges -- Layered Architecture for RSDP v3.0: Modular Distributed Consensus and Coordination -- AI-Powered Tools to Create Accessible Websites. |
| Record Nr. | UNINA-9911031668603321 |
|
Luntovskyy Andriy
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||