László Toka

Budapest University of Technology and Economics

Hungary

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Articles (18)

Routing LEO satellite traffic in adverse weather

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Year:

2025

All about momentum: Investigating high-pressure situations in the NBA through scoring probability

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Year:

2025

Performance analysis in SailGP: A machine learning approach

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Year:

2025

Dimensioning space-air-ground integrated networks for in-flight 6G slice orchestration

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Year:

2025

Minimizing Energy Consumption of Satellite Edge Computing-Capable LEO Satellites

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Year:

2025

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

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Year:

2024

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

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Year:

2024

Corrections to “A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0”

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Year:

2024

Real-Time FaaS: Towards a Latency Bounded Serverless Cloud

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Year:

2023

A career handbook for professional soccer players

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Year:

2023

Towards maximizing expected possession outcome in soccer

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Year:

2023

A data-driven approach to assist offensive and defensive players in optimal decision making

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Year:

2023

5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge

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Year:

2023

Cost and Latency Optimized Edge Computing Platform

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Year:

2022

The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications

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Year:

2022

Ultra-Reliable and Low-Latency Computing in the Edge with Kubernetes

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Year:

2021

Machine Learning-Based Scaling Management for Kubernetes Edge Clusters

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Year:

2021

Pricing games of NFV infrastructure providers

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Year:

2021

Collaborators (1)

Márk Szalay

Budapest University of Technology and Economics

HUNGARY

László Toka

Research Interests

Explore related searches

Contact this professor

Articles (18)

Routing LEO satellite traffic in adverse weather

All about momentum: Investigating high-pressure situations in the NBA through scoring probability

Performance analysis in SailGP: A machine learning approach

Dimensioning space-air-ground integrated networks for in-flight 6G slice orchestration

Minimizing Energy Consumption of Satellite Edge Computing-Capable LEO Satellites

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0

Corrections to “A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0”

Real-Time FaaS: Towards a Latency Bounded Serverless Cloud

A career handbook for professional soccer players

Towards maximizing expected possession outcome in soccer

A data-driven approach to assist offensive and defensive players in optimal decision making

5G on the Roads: Latency-Optimized Federated Analytics in the Vehicular Edge

Cost and Latency Optimized Edge Computing Platform

The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications

Ultra-Reliable and Low-Latency Computing in the Edge with Kubernetes

Machine Learning-Based Scaling Management for Kubernetes Edge Clusters

Pricing games of NFV infrastructure providers

Collaborators (1)

Márk Szalay

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