Skip to content
U

Udofia Kufre Michael

Publications (4)

Comparative Design and Performance Analysis of Multiband MIMO Antenna for Sub-6 GHz 5G Network

Ater David Utahile, Udofia Kufre Michael & Saturday Chukwudi Jeffrey · Asian Journal of Advanced Research and Reports · 2024

This paper presents the design and performance comparison of a multiband dual diversity 8-element multiple-input multiple-output (MIMO) antenna with a 4-element MIMO antenna with defected ground structure (DGS) at 2.45/3.5/5.2/6 GHz. The proposed antennas were designed on a flame...

Open access Research Article 10.9734/ajarr/2024/v18i5635

Multiband Band and Dual Diversity Eight-Element MIMO Microstrip Antenna for Wireless Applications

Ater David Utahile, Udofia Kufre Michael & Obot Akaninyene Bernard · Journal of Engineering Research and Reports · 2023

This paper presents the design and performance analysis of multiband dual diversity 8-element multiple-input multiple-output (MIMO) antenna at 2.45/3.5/5.2/6 GHz. The proposed antenna was designed on a Flame Resistant (FR-4) substrate having a dielectric constant of 4.4 , dimensi...

Open access Research Article 10.9734/jerr/2023/v25i7935

Ultra-wideband Metamaterial-based Rectangular Microstrip Antenna for Sub-6 GHz 5G and other Microwave Applications

Udoh Mary Lambert, Udofia Kufre Michael & Obot Akaninyene Bernard · Journal of Engineering Research and Reports · 2023

This paper presents a novel design of an ultra-wideband metamaterial-based rectangular microstrip antenna for sub-6 GHz 5G and other microwave applications. The proposed antenna consist of a rectangular microstrip patch, two metamaterial unit cells, Flame Resistant (FR-4) substra...

Open access Research Article 10.9734/jerr/2023/v25i7932

Federated Learning and Graph Neural Networks for Transmission System Stability: A Privacy-Preserving Artificial Intelligence Framework for Smart Grids

Imoh Isaiah Udofot, Okpura Nseobong & Udofia Kufre Michael · Journal of Engineering Research and Reports · 2025

Integrating renewables and grid-edge technologies has increased modern power systems’ complexity and data intensity, necessitating advanced Artificial Intelligence (AI) for stability management. However, centralized AI faced fundamental limitations due to data privacy, sovereignt...

Open access Research Article 10.9734/jerr/2025/v27i111683