Zaharias D. Zaharis

Has grant

Aristotle University of Thessaloniki

Greece

Research Interests

Explore related searches

Professors in Deep Learning

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Recent Grants

Grant: Close

Research Collaboration and Mobility for Beyond 5G Future Wireless Networks (RECOMBINE)

Open Date: 2020-01-01

Close Date: 2025-06-01

Grant: Close

Mobility and Training for beyond 5G Ecosystems (MOTOR5G)

Open Date: 2019-11-01

Close Date: 2025-01-01

Articles (11)

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (6)

Sidra Tul Muntaha

University of Huddersfield

UNITED KINGDOM

View details

Qasim Zeeshan Ahmed

University of Huddersfield

UNITED KINGDOM

View details

Vladimir Poulkov

BULGARIA

View details

Nikolaos V. Kantartzis

Professor

Aristotle University of Thessaloniki

GREECE

View details

Faheem Khan

University of Huddersfield

UNITED KINGDOM

View details

Pavlos Lazaridis

Reader

University of Huddersfield

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Zaharias D. Zaharis

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (11)

Blockchain for Dynamic Spectrum Access and Network Slicing: A Review

Deep Learning Approach for Optimal Localization Using an mm-Wave Sensor

Deep Neural Networks for Spectrum Sensing: A Review

Radio SLAM: A Review on Radio-Based Simultaneous Localization and Mapping

Mechanically Controlled, Wide-Angle Scanning, Series-Fed Antenna Array With Low Profile for High-Power Radar Systems

Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications

A Survey on Optimizing Mobile Delivery of 360° Videos: Edge Caching and Multicasting

UAS-Borne Radar for Autonomous Navigation and Surveillance Applications

Deep Learning-Aided QoE Prediction for Virtual Reality Applications Over Open Radio Access Networks

A Novel Realistic Approach of Adaptive Beamforming Based on Deep Neural Networks

A Review of the State of the Art and Future Challenges of Deep Learning-Based Beamforming

Collaborators (6)

Sidra Tul Muntaha

Qasim Zeeshan Ahmed

Vladimir Poulkov

Nikolaos V. Kantartzis

Faheem Khan

Pavlos Lazaridis

Make your next move.