| Urban area path loss propagation prediction and optimisation using Hata model at 800MHz I Joseph, CC Konyeha IOSR Journal of Applied Physics (IOSR-JAP) 3 (4), 8-18, 2013 | 99 | 2013 |
| A review of artificial intelligence and machine learning for incident detectors in road transport systems S Olugbade, S Ojo, AL Imoize, J Isabona, MO Alaba Mathematical and Computational Applications 27 (5), 77, 2022 | 86 | 2022 |
| Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning J Isabona, AL Imoize, Y Kim Sensors 22, 3776, 2022 | 73 | 2022 |
| Development of a Multilayer Perception Neural Network for Optimal Predictive Modeling in Urban Microcellular Radio Environments J Isabona, AL Imoize, S Ojo, O Karunwi, Y Kim, CC Lee, CT Li Appl. Sci 12 (11), 5713, 2022 | 67 | 2022 |
| Hybrid neural network approach for predicting signal propagation loss in urban microcells J Isabona, VM Srivastava 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 1-5, 2016 | 42 | 2016 |
| A Novel Edge-Computing-Based Framework for an Intelligent Smart Healthcare System in Smart Cities SS Tripathy, ALIM Rath, N Tripathy, S Bebortta, CC Lee, TY Chen, S Ojo, ... Sustainability 15, 2023 | 38 | 2023 |
| Radio field strength propagation data and pathloss calculation methods in UMTS network J Isabona, CC Konyeha, CB Chinule, GP Isaiah Advances in Physics Theories and Applications 21, 54-68, 2013 | 38 | 2013 |
| Atmospheric Propagation Modelling for Terrestrial Radio Frequency Communication Links in a Tropical Wet and Dry Savanna Climate J Isabona, AL Imoize, S Ojo, CC Lee, CT Li Information 13, 141, 2022 | 32 | 2022 |
| Environment-adaptation based hybrid neural network predictor for signal propagation loss prediction in cluttered and open urban microcells VC Ebhota, J Isabona, VM Srivastava Wireless Personal Communications 104, 935-948, 2019 | 32 | 2019 |
| Wavelet Generalized Regression Neural Network Approach for Robust Field Strength Prediction J Isabona Wireless Personal Communications 114 (4), 3635-3653, 2020 | 30 | 2020 |
| Downlink Massive MIMO Systems: Achievable Sum Rates and Energy Efficiency Perspective for Future 5G Systems J Isabona, VM Srivastava Wireless Personal Communications Wireless Personal Communications 96, 2779–2796, 2017 | 30 | 2017 |
| On Propagation Path Loss Models For 3-G Based Wireless Networks: A Comparative Analysis. M Ekpenyong, J Isabona, E Ekong Computer Science & Telecommunications 25 (2), 2010 | 28 | 2010 |
| Updating analysis of key performance indicators of 4G LTE network with the prediction of missing values of critical network parameters based on experimental data from a dense … Agbotiname Lucky Imoize, Samuel Oluwatobi Tofade, Glory Uzuazobona Ughegbe ... Data in Brief 42, 108240, 2022 | 27 | 2022 |
| Optimised Walficsh-Bertoni Model for Pathloss Prediction in Urban Propagation Environment J Isabona, S Azi International Journal of Engineering and Innovative Technology (IJEIT) 2 (5 …, 2012 | 26 | 2012 |
| Improved adaptive signal power loss prediction using combined vector statistics based smoothing and neural network approach VC Ebhota, J Isabona, VM Srivastava Progress In Electromagnetics Research C 82, 155-169, 2018 | 25 | 2018 |
| Coverage and link quality trends in suburban mobile broadband HSPA network environments J Isabona, VM Srivastava Wireless Personal Communications 95, 3955-3968, 2017 | 24 | 2017 |
| Cascade forward neural networks-based adaptive model for real-time adaptive learning of stochastic signal power datasets O Ituabhor, J Isabona, JT Zhimwang, I Risi International Journal of Computer Network and Information Security 3, 63-74, 2022 | 22 | 2022 |
| Terrain-based adaption of propagation model loss parameters using non-linear square regression J Isabona, AI Lucky Journal of Engineering and Applied Science 68 (32), 1-19, 2021 | 22 | 2021 |
| Machine Learning Based on Kernel Function Controlled Gaussian Process Regression Method for In-depth Extrapolative Analysis of Covid-19 Daily Cases Drift Rates J Isabona, DO Ojuh International Journal of Mathematical Sciences and Computing(IJMSC) 7, 14-23, 2021 | 22 | 2021 |
| A neural network based model for signal coverage propagation loss prediction in urban radio communication environment J Isabona, VM Srivastava International Journal of Applied Engineering Research 11 (22), 11002-11008, 2016 | 21 | 2016 |
Moses Effiong EkpenyongDepartment of Computer Science, University of UyoBestätigte E-Mail-Adresse bei uniuyo.edu.ng