DeepFacematch: A Convolutional Neural Network Model for Contactless Attendance on e-SIWES Portal. - Emmanuel Adetiba; Amarachi E. Opara; Oluwaseun T. Ajayi; Folashade O. Owolabi (ICTA, 2020)

Deep Learning-Based Path Loss Prediction Model for 5G mmWave. - Simon K. Hinga; Oluwaseun T. Ajayi; Tokunbo Ogunfunmi (GHTC, 2022)

Adaptive Messaging based on the Age of Information in VANETs. - Jordi Marias i Parella; Oluwaseun T. Ajayi; Yu Cheng 003 (GLOBECOM, 2022)

Automatic Modulation Recognition Using Minimum-Phase Reconstruction Coefficients and Feed-Forward Neural Network. - Sunday Ajala; Emmanuel Adetiba; Oluwaseun T. Ajayi; Abdultaofeek Abayomi; Anabihilary Kelechi; Joke A. Badejo; Sibusiso Moyo; Murimo Bethel Mutanga (J. Comput. Sci. Eng., 2022)

Decentralized Learning of Bayesian Networks from Private Data with Applications to Global Pandemic. - Oluwaseun T. Ajayi; Yu Cheng 003 (ICDCS, 2023)

Machine Learning Assisted Capacity Optimization for B5G/6G Integrated Access and Backhaul Networks. - Oluwaseun T. Ajayi; Shuai Zhang 013; Yu Cheng 003 (INFOCOM Workshops, 2023)

A Self-Supervised Learning Approach for Accelerating Wireless Network Optimization. - Shuai Zhang 013; Oluwaseun T. Ajayi; Yu Cheng 003 (IEEE Trans. Veh. Technol., 2023)

An Analytical Approach for Minimizing the Age of Information in a Practical CSMA Network. - Suyang Wang; Oluwaseun T. Ajayi; Yu Cheng 003 (INFOCOM, 2024)

Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification. - Oluwaseun T. Ajayi; Yu Cheng 003 (CoRR, 2024)