Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective CC Olisah, L Smith, M Smith Computer Methods and Programs in Biomedicine 220, 106773, 2022 | 106 | 2022 |
Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction CC Chude-Olisah, G Sulong, UAK Chude-Okonkwo, SZM Hashim 2013 IEEE International Conference on Signal and Image Processing …, 2013 | 23 | 2013 |
Face recognition via edge-based Gabor feature representation for plastic surgery-altered images CC Chude-Olisah, G Sulong, UAK Chude-Okonkwo, SZM Hashim EURASIP Journal on Advances in Signal Processing 2014, 1-15, 2014 | 16 | 2014 |
Understanding unconventional preprocessors in deep convolutional neural networks for face identification CC Olisah, L Smith SN Applied Sciences 1 (11), 1511, 2019 | 9 | 2019 |
Edge-based representation and recognition for surgically altered face images CC Chude-Olisah, GB Sulong, UAK Chude-Okonkwo, SZM Hashim 2013, 7th International Conference on Signal Processing and Communication …, 2013 | 8 | 2013 |
Fuzzy-based dynamic distributed queue scheduling for packet switched networks CC Chude-Olisah, UAK Chude-Okonkwo, KA Bakar, G Sulong Journal of Computer Science and Technology 28, 357-365, 2013 | 7 | 2013 |
Bio-inspired physical layered device architectures for diffusion-based molecular communication: design issues and suggestions UAK Chude-Okonkwo, R Malekian, BT Mharaj, CC Olisah 2015 IEEE 13th International Conference on Industrial Informatics (INDIN …, 2015 | 6 | 2015 |
Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern CC Olisah, P Ogedebe 2016 Information Security for South Africa (ISSA), 114-120, 2016 | 3 | 2016 |
Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment CC Olisah, B Trewhella, B Li, ML Smith, B Winstone, EC Whitfield, ... Engineering Applications of Artificial Intelligence 132, 107945, 2024 | 2 | 2024 |
Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model CC Olisah, OO Ilori, K Adelaja, PU Usip, LO Uzoechi, IA Adeyanju, ... Data Science for COVID-19, 583-596, 2021 | 2 | 2021 |
Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters UAK Chude‐Okonkwo, CC Chude‐Olisah, S Nunoo, R Nga International Journal of Communication Systems 29 (5), 893-915, 2016 | 2 | 2016 |
Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa C Olisah, LN Smith, ML Smith | 1 | 2022 |
Expressing Facial Structure and Appearance Information in Frequency Domain for Face Recognition CC Olisah, S Nunoo, P Ofedebe, G Sulong arXiv preprint arXiv:1704.08949, 2017 | 1 | 2017 |
Minimizing separability: a comparative analysis of illumination compensation techniques in face recognition CC Olisah International Journal of Information Technology and Computer Science 9 (5 …, 2017 | 1 | 2017 |
New Face Recognition Descriptor Based on Edge Information for Surgically-altered Faces in Uncontrolled Environment CC Chude-Olisah Universiti Teknologi Malaysia, 2015 | 1 | 2015 |
Measurement and time dispersion analysis of UWB channels for Infostation application in an outdoor recreation park UAK Chude-Okonkwo, R Ngah, S Nunoo, Y Zahedi, CC Olisah, ... 2013, 7th International Conference on Signal Processing and Communication …, 2013 | 1 | 2013 |
SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modeling and Classification of Alzheimer’s Disease S Odimayo, CC Olisah, K Mohammed | | 2024 |
SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation CC Olisah arXiv preprint arXiv:2401.13403, 2024 | | 2024 |
Structure-focused Neurodegeneration Convolutional Neural Network for Modeling and Classification of Alzheimer's Disease S Odimayo, CC Olisah, K Mohammed arXiv preprint arXiv:2401.03922, 2024 | | 2024 |
Corn yield prediction model with deep neural networks for smallholder farmer decision support system C Olisah, L Smith, M Smith, L Morolake, O Ojukwu arXiv preprint arXiv:2401.03768, 2024 | | 2024 |