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Hyperspectral imaging-based Blackberry fruit ripeness detection in uncontrolled farm environment with an ensemble convolutional neural network (2022)
Working Paper
Olisah, C. C., Trewhella, B., Li, B., Winstone, B., Whitfield, C., Fernández Fernández, F., …Smith, M. L. Hyperspectral imaging-based Blackberry fruit ripeness detection in uncontrolled farm environment with an ensemble convolutional neural network

Detecting perfect fruit ripeness during harvesting is one of the major challenges for fruit growers. Most challenging are fruits that do not show obvious and reliable visible traits of ripeness when mature and therefore pose great difficulty to picke... Read More about Hyperspectral imaging-based Blackberry fruit ripeness detection in uncontrolled farm environment with an ensemble convolutional neural network.

Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective (2022)
Journal Article
Olisah, C. C., Smith, L., & Smith, M. (2022). Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective. Computer Methods and Programs in Biomedicine, 220, Article 106773. https://doi.org/10.1016/j.cmpb.2022.106773

Background and Objective: Diabetes mellitus is a metabolic disorder characterized by hyperglycemia, which results from the inadequacy of the body to secrete and respond to insulin. If not properly managed or diagnosed on time, diabetes can pose a ris... Read More about Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.

Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa (2022)
Conference Proceeding
Olisah, C., Smith, L. N., & Smith, M. L. (in press). Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa

Existing machine learning models for crop yield prediction model environmental data on the assumption that soil variables are unaffected by weather variables and therefore learn their intrinsic features independently. If the focus of crop yield predi... Read More about Maize yield predictive models and mobile-based decision support system for smallholder farmers in Africa.

A robust machine learning framework for diabetes prediction (2021)
Conference Proceeding
Olisah, C., Adeleye, O., Smith, L., & Smith, M. (2022). A robust machine learning framework for diabetes prediction. In Proceedings of the Future Technologies Conference (FTC) 2021 (775-792). https://doi.org/10.1007/978-3-030-89880-9_58

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia which results from the inadequacy of the body to secret and responds to insulin. If not properly managed or diagnosed on time, diabetes can pose a risk to vital body organs such... Read More about A robust machine learning framework for diabetes prediction.

Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model (2021)
Book Chapter
Olisah, C. C., Ilori, O. O., Adelaja, K., Usip, P. U., Uzoechi, L. O., Adeyanju, I. A., & Odumuyiwa, V. T. (2021). Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model. In Data Science for COVID-19 (583-596). Elsevier. https://doi.org/10.1016/b978-0-12-824536-1.00002-2

COVID-19: the new wave of a global pandemic, is bringing about an increasing number of scientific efforts aimed at enabling governments to make informed decisions. In this paper, we explore the negative binomial regression model from the family of ge... Read More about Data-driven approach to COVID-19 infection forecast for Nigeria using negative binomial regression model.

Understanding unconventional preprocessors in deep convolutional neural networks for face identification (2019)
Journal Article
Olisah, C. C., & Smith, L. (2019). Understanding unconventional preprocessors in deep convolutional neural networks for face identification. SN Applied Sciences, 1(11), https://doi.org/10.1007/s42452-019-1538-5

Deep convolutional neural networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architecture such as: depth of the convolutional layers, ac... Read More about Understanding unconventional preprocessors in deep convolutional neural networks for face identification.

Aesthetic surgery induced transformation face insensitive features: The medical and theoretical standpoint (2017)
Conference Proceeding
Olisah, C. C., Okpala, M., & Ikuesan, A. R. (2017). Aesthetic surgery induced transformation face insensitive features: The medical and theoretical standpoint. In 2017 IEEE AFRICON (391-396). https://doi.org/10.1109/afrcon.2017.8095514

The changes in facial appearance resulting from the effect of plastic surgery may manifest in the form of textural variations, and/or geometric variations with respect to the facial structural features such as eyes, nose, mouth, jaw, nose, brow, etc.... Read More about Aesthetic surgery induced transformation face insensitive features: The medical and theoretical standpoint.

Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition (2017)
Journal Article
Olisah, C. C. (2017). Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition. International Journal of Information Technology and Computer Science, 9(5), 40-51. https://doi.org/10.5815/ijitcs.2017.05.06

Feature extraction task are primarily about making sense of the discriminative features/patterns of facial information and extracting them. However, most real world face images are almost always intertwined with imaging modality problems of which... Read More about Minimizing separability: A comparative analysis of illumination compensation techniques in face recognition.

Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern (2017)
Conference Proceeding
Olisah, C. C., & Ogedebe, P. (2017). Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern. In 2016 Information Security for South Africa (ISSA) (114-120). https://doi.org/10.1109/issa.2016.7802937

For humans, every face is unique and can be recognized amongst similar faces. This is yet to be so for machines. Our assumption is that beneath the uncertain primitive visual features of face images are intrinsic structural patterns that uniquely dis... Read More about Recognizing surgically altered faces using local edge gradient Gabor magnitude pattern.

On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces (2016)
Journal Article
Olisah, C. C., Ogedebe, P., & Sulong, G. (2016). On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces. Indian Journal of Science and Technology, 9(28), 1-12. https://doi.org/10.17485/ijst/2016/v9i28/93968

Objectives: To analyze the influence of the sparseness distribution characteristics of gradient-based descriptor data on reduction of high-dimensional data, this paper presents experimental analysis on learned samples of gradient descriptor data. Met... Read More about On gradient descriptor distribution-based dimensionality reduction analysis: A case of recognizing plastic surgery sample faces.

Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment (2016)
Journal Article
Nunoo, S., Chude-Okonkwo, U. A. K., Ngah, R., Chude-Olisah, C., & Zahedi, Y. K. (2016). Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment. Turkish Journal of Electrical Engineering & Computer Sciences, 24, 4555-4568. https://doi.org/10.3906/elk-1310-103

Ultrawideband (UWB) technology offers short-range high-data transmission rates. Most researchers in recent times have focused on indoor UWB channel measurements and in instances where outdoor cases were reported, they focused on static scenarios. Thi... Read More about Channel measurement and time dispersion analysis for outdoor mobile ultrawideband environment.

Bio-inspired physical layered device architectures for diffusion-based molecular communication: Design issues and suggestions (2015)
Conference Proceeding
Mharaj, B. T., Malekian, R., Chude-Okonkwo, U. A., & Olisah, C. (2015). Bio-inspired physical layered device architectures for diffusion-based molecular communication: Design issues and suggestions. In 2015 IEEE 13th International Conference on Industrial Informatics (INDIN) (1472-1479). https://doi.org/10.1109/INDIN.2015.7281950

The aim of molecular communication (MC) is to develop communication systems for biochemical information interchange among nano devices. While there have been research efforts to model, design and analyze various MC network and devices, a lot still ha... Read More about Bio-inspired physical layered device architectures for diffusion-based molecular communication: Design issues and suggestions.

Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters (2015)
Journal Article
Chude-Okonkwo, U. A. K., Chude-Olisah, C. C., Nunoo, S., & Nga, R. (2016). Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters. International Journal of Communication Systems, 29(5), 893-915. https://doi.org/10.1002/dac.2991

The characterization and parameterization of processes that arise in many fields of science and technology are very crucial. Of particular importance are dynamic processes whose statistics are time-varying and are often modeled as stochastic processe... Read More about Characterization and parameterization of dynamic wireless channels over long duration using evolutionary channel parameters.

Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction (2014)
Conference Proceeding
Olisah, C., Sulong, G., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction. In 2013 IEEE International Conference on Signal and Image Processing Applications (412-416). https://doi.org/10.1109/ICSIPA.2013.6708042

In this paper, an illumination normalization technique for edge-based face recognition on face images with non-uniform illumination conditions, is proposed. The proposed illumination normalization technique fuses the merits of color (Red, Green and B... Read More about Illumination normalization for edge-based face recognition using the fusion of RGB normalization and gamma correction.

Face recognition via edge-based Gabor feature representation for plastic surgery-altered images (2014)
Journal Article
Chude-Olisah, C. C., Sulong, G., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Face recognition via edge-based Gabor feature representation for plastic surgery-altered images. EURASIP Journal on Advances in Signal Processing, 2014(1), https://doi.org/10.1186/1687-6180-2014-102

Plastic surgery procedures on the face introduce skin texture variations between images of the same person (intra-subject), thereby making the task of face recognition more difficult than in normal scenario. Usually, in contemporary face recognition... Read More about Face recognition via edge-based Gabor feature representation for plastic surgery-altered images.

A new watermarking technique for mammogram images copyright protection (2014)
Journal Article
Sulong, G., Hasan, H. R., Hajiabdollah, T., & Olisah, C. C. (2014). A new watermarking technique for mammogram images copyright protection. Life Science Journal, 11(5), 102-108. https://doi.org/10.7537/marslsj110514.14

Recent advances in technology have enabled the digitization of medical images for easy retrieval. However, the retrieval process of digital medical image makes the image prone to illegal distortions and reproduction. In this regards, the confidential... Read More about A new watermarking technique for mammogram images copyright protection.

Edge-based representation and recognition for surgically altered face images (2014)
Conference Proceeding
Chude-Olisah, C. C., Sulong, G. B., Chude-Okonkwo, U. A. K., & Hashim, S. Z. M. (2014). Edge-based representation and recognition for surgically altered face images. In 2013, 7th International Conference on Signal Processing and Communication Systems (ICSPCS)https://doi.org/10.1109/icspcs.2013.6723974

Basically, plastic surgery procedure introduces skin texture variations between images of the same person (intra-face) thereby making recognition more difficult than in normal scenario. Since the shape of significant face features such as eyes, nose,... Read More about Edge-based representation and recognition for surgically altered face images.

Measurement and time dispersion analysis of UWB channels for Infostation application in an outdoor recreation park (2014)
Conference Proceeding
Chude-Okonkwo, U. A., Ngah, R., Nunoo, S., Zahedi, Y., Olisah, C. C., Al-Saman, A., & Rahman, T. A. (2014). Measurement and time dispersion analysis of UWB channels for Infostation application in an outdoor recreation park. In 2013 7th International Conference on Signal Processing and Communication Systems (ICSPCS)https://doi.org/10.1109/icspcs.2013.6723911

In this paper the time dispersive analysis of a set of data obtained from the UWB channel measurement of an environment typical of the Infostation scenario in a recreation park is presented. The measurements were carried out in the frequency band of... Read More about Measurement and time dispersion analysis of UWB channels for Infostation application in an outdoor recreation park.

Fuzzy-based dynamic distributed queue scheduling for packet switched networks (2013)
Journal Article
Olisah, C., Chude-Okonkwo, U. A., Bakar, K. A., & Sulong, G. (2013). Fuzzy-based dynamic distributed queue scheduling for packet switched networks. Journal of Computer Science and Technology, 28(2), 357-365. https://doi.org/10.1007/s11390-013-1336-2

Addressing the problem of queue scheduling for the packet-switched system is a vital aspect of congestion control. In this paper, the fuzzy logic based decision method is adopted for queue scheduling in order to enforce some level of control for traf... Read More about Fuzzy-based dynamic distributed queue scheduling for packet switched networks.

Expressing facial structure and appearance information in frequency domain for face recognition
Report
Olisah, C., Nunoo, S., Ofedebe, P., & Sulong, G. Expressing facial structure and appearance information in frequency domain for face recognition

Beneath the uncertain primitive visual features of face images are the primitive intrinsic structural patterns (PISP) essential for characterizing a sample face discriminative attributes. It is on this basis that this paper presents a simple yet effe... Read More about Expressing facial structure and appearance information in frequency domain for face recognition.