Huszak Arpad

About Huszak Arpad

Huszak Arpad, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at Budapesti Muszaki és Gazdaságtudományi Egyetem, specializes in the field of computer networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multimédia-hálózatok: Technológiák, alkalmazások és szolgáltatások

Reinforcement Learning in Path Lifetime Routing Algorithm for VANETs.

Reinforcement learning environment for advanced vehicular ad hoc networks communication systems

Reinforcement learning based gateway selection in vanets

New Gateway Selection Algorithm Based on Multi-Objective Integer Programming and Reinforcement Learning

ReLight-WCTM: Multi-Agent Reinforcement Learning Approach for Traffic Light Control within a Realistic Traffic Simulation

Enhancing vanet connectivity through a realistic model for rsu deployment on highway

Service-based network selection in C-ITS vehicular networks

Huszak Arpad Information

University

Position

___

Citations(all)

367

Citations(since 2020)

116

Cited By

298

hIndex(all)

10

hIndex(since 2020)

6

i10Index(all)

10

i10Index(since 2020)

4

Email

University Profile Page

Budapesti Muszaki és Gazdaságtudományi Egyetem

Google Scholar

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Huszak Arpad Skills & Research Interests

computer networks

Top articles of Huszak Arpad

Title

Journal

Author(s)

Publication Date

Multimédia-hálózatok: Technológiák, alkalmazások és szolgáltatások

Csaba Attila Szabó

Árpád Huszák

Ármin Petkovics

2023

Reinforcement Learning in Path Lifetime Routing Algorithm for VANETs.

J. Inf. Sci. Eng.

Lincoln Herbert Teixeira

Árpád Huszák

2023/1/1

Reinforcement learning environment for advanced vehicular ad hoc networks communication systems

Sensors

Lincoln Herbert Teixeira

Árpád Huszák

2022/6/23

Reinforcement learning based gateway selection in vanets

International journal of electrical and computer engineering systems

Hasanain Alabbas

Árpád Huszák

2022/4/19

New Gateway Selection Algorithm Based on Multi-Objective Integer Programming and Reinforcement Learning

Infocommunications Journal

Hasanain Alabbas

Árpád Huszák

2022

ReLight-WCTM: Multi-Agent Reinforcement Learning Approach for Traffic Light Control within a Realistic Traffic Simulation

Péter Pálos

Árpád Huszák

2021/7/26

Enhancing vanet connectivity through a realistic model for rsu deployment on highway

Journal of Physics: Conference Series

Roaa Jasim Mousa

Árpád Huszák

Mahdi Abed Salman

2021/2/1

Service-based network selection in C-ITS vehicular networks

International Journal of Communication Networks and Distributed Systems

Lincoln Herbert Teixeira

Árpád Huszák

2021

CAMVC: Stable clustering algorithm for efficient multi-hop vehicular communication on highways

Hasanain Alabbas

Árpád Huszák

2020/7/7

A new clustering algorithm for live road surveillance on highways based on DBSCAN and fuzzy logic

International Journal of Advanced Computer Science and Applications

Hasanain Alabbas

Árpád Huszák

2020

NAV2V: Navigation Assisted V2V Routing Protocol for Urban Areas

Lincoln H Teixeira

Árpad Huszák

2020/12/11

Comparison of q-learning based traffic light control methods and objective functions

Péter Pálos

Árpád Huszák

2020/9/17

See List of Professors in Huszak Arpad University(Budapesti Muszaki és Gazdaságtudományi Egyetem)

Co-Authors

H-index: 33
Sandor Imre

Sandor Imre

Budapesti Muszaki és Gazdaságtudományi Egyetem

H-index: 17
Karoly Farkas

Karoly Farkas

Budapesti Muszaki és Gazdaságtudományi Egyetem

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