An XGBoost Machine Learning Technique for RF Energy Harvesting Prediction in IP-enabled IoT Devices. - Obumneme Obiajulu Umeonwuka; Babatunde S. Adejumobi; Thokozani Shongwe (EUROCON, 2023)

Deep Learning-Assisted Energy Prediction Modeling for Energy Harvesting in Wireless Cognitive Radio Devices. - Obumneme Obiajulu Umeonwuka; Babatunde S. Adejumobi; Thokozani Shongwe (IEEE Access, 2024)

A Cartesian-plane perspective of vertical handover for user equipment communications in millimeterwave heterogeneous network. - Franklin Chibueze Njoku; Abdoulie Momodou Sunkary Tekanyi; Obumneme Obiajulu Umeonwuka; Umar-Faruk Abdu-Aguye; Stella Ngozi Obiahu; Alex Aligbe (Comput. Electr. Eng., 2024)

Generation of 5G frequency one model based on orthogonal multiple access technique of filtered-orthogonal frequency division multiplexing scheme for advanced interference evaluation. - Zakka Augustine; Habeeb Bello; Abdoulie M. S. Tekanyi; Abdulmalik Shehu Yaro; Hassan Abubakar Abdulkareem; Obumneme Obiajulu Umeonwuka; Umar-Faruk Abdu-Aguye (Comput. Electr. Eng., 2025)