6 papers
Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
Chollette C. Olisah, Ben Trewhella, Bo Li +5
Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or h…
Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations
Paul Brimoh, Chollette C. Olisah
A genuine signer's signature is naturally unstable even at short time-intervals whereas, expert forgers always try to perfectly mimic a genuine signer's signature. This presents a…
SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
Chollette C. Olisah, Sofie V. Cauter
Despite the advancement in computational modeling towards brain tumor segmentation, of which several models have been developed, it is evident from the computational complexity of…
SNeurodCNN: Structure-focused Neurodegeneration Convolutional Neural Network for Modelling and Classification of Alzheimer's Disease
Simisola Odimayo, Chollette C. Olisah, Khadija Mohammed
Alzheimer's disease (AD), the predominant form of dementia, is a growing global challenge, emphasizing the urgent need for accurate and early diagnosis. Current clinical diagnoses…
Corn Yield Prediction Model with Deep Neural Networks for Smallholder Farmer Decision Support System
Chollette C. Olisah, Lyndon Smith, Melvyn Smith +2
Crop yield prediction has been modeled on the assumption that there is no interaction between weather and soil variables. However, this paper argues that an interaction exists, and…
Understanding Unconventional Preprocessors in Deep Convolutional Neural Networks for Face Identification
Chollette C. Olisah, Lyndon Smith
Deep networks have achieved huge successes in application domains like object and face recognition. The performance gain is attributed to different facets of the network architectu…