Serestina Viriri

发表

Justice, poverty, and electricity decarbonization

Benjamin Sovacool, Kirsten E H Jenkins, Marilyn A Brown, 2019, The Electricity Journal.

A two-Stage Fuzzy c-Means Clustering Algorithm for Lung Segmentation

Oluwakorede M. Oluyide, Serestina Viriri, J. Tapamo, 2014 .

Automatic Lung Segmentation using Graph Cut optimization

Serestina Viriri, 2015 .

An approximation based algorithm for minimum bounding rectangle computation

Serestina Viriri, J. R. Kala, J. Tapamo, 2014, 2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST).

An income-reflective scalable energy level transition system for low/middle income households

Lukumon O. Oyedele, K. O. Akpeji, Joshua C. Onunwor, 2019, Sustainable Cities and Society.

signature verication using locally optimized distance- based classication

F. Nelwamondo, Serestina Viriri, J. Tapamo, 2013 .

SIGNATURE VERIFICATION USING WEIGHTED FRACTIONAL DISTANCE CLASSIFICATION

F. Nelwamondo, Serestina Viriri, J. Tapamo, 2012 .

Handwritten signature verification using weighted fractional distance classification

F. Nelwamondo, Serestina Viriri, J. Tapamo, 2012, 2012 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2012).

The effectiveness of combining the likelihood maps of different filters in improving detection of calcification objects

Serestina Viriri, J. Tapamo, Keith Chikamai, 2015, 2015 Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech).

Increasing Face Recognition Rate

Serestina Viriri, B. Lagerwall, 2016 .

Policy discussion for sustainable integrated electricity expansion in South Africa

Kirsten E H Jenkins, C. Monyei, Serestina Viriri, 2018, Energy Policy.

Retinal Vessel Segmentation Based on Difference Image and K-Means Clustering

Serestina Viriri, J. Tapamo, T. Mapayi, 2014 .

Response to Todd, De Groot, Mose, McCauley and Heffron's critique of “Examining energy sufficiency and energy mobility in the global south through the energy justice framework”

K. O. Akpeji, Kirsten E H Jenkins, C. Monyei, 2019, Energy Policy.

Ear Biometrics Using Deep Learning: A Survey

Serestina Viriri, Aimee Booysens, 2022, Appl. Comput. Intell. Soft Comput..

Exploration of Ear Biometrics Using EfficientNet

Serestina Viriri, Aimee Booysens, 2022, Computational intelligence and neuroscience.

Facial Expression Recognition: A Review of Trends and Techniques

Olufisayo S. Ekundayo, Serestina Viriri, 2021, IEEE Access.

Deep Learning-Based Classification of Spoken English Digits

Serestina Viriri, Jane Ngozi Oruh, 2022, Computational intelligence and neuroscience.

Deeply Learned Invariant Features for Component-based Facial Recognition

Serestina Viriri, Adam Hassan, 2022, International Journal of Advanced Computer Science and Applications.

Dental Images' Segmentation Using Threshold Connected Component Analysis

Serestina Viriri, Vincent Majanga, 2021, Comput. Intell. Neurosci..

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

Serestina Viriri, A. Adegun, 2020, Artificial Intelligence Review.

Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition

Serestina Viriri, A. Adegun, Jane Ngozi Oruh, 2022, IEEE Access.

Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks

Serestina Viriri, O. Sule, 2022, Journal of Digital Imaging.

Detection of COVID-19 from CT Lung Scans Using Transfer Learning

Serestina Viriri, S. Lawton, 2021, Comput. Intell. Neurosci..

Skin Lesion Segmentation Techniques Based on Markov Random Field

Serestina Viriri, Omran Salih, Serestina Viriri, 2019, MIKE.

Skin Lesion Segmentation Based on Region-Edge Markov Random Field

Serestina Viriri, Adekanmi Adegun, Omran Salih, 2019, ISVC.

Skin Lesion Segmentation Using Enhanced Unified Markov Random Field

Serestina Viriri, Omran Salih, Serestina Viriri, 2018, MIKE.

Deep Learning Approach for Medical Image Analysis

Roseline Oluwaseun Ogundokun, Serestina Viriri, Adekanmi Adeyinka Adegun, 2021, Comput. Intell. Neurosci..

Fusion of LBP and Hu-Moments with Fisher Vectors in Remote Sensing Imagery

Serestina Viriri, Ronald Tombe, Serestina Viriri, 2019, ICCCI.

Selecting Salient Features from Facial Components for Face Recognition

Serestina Viriri, M. V. Gwetu, Mandlenkosi Victor Gwetu, 2017, PSIVT Workshops.

A Survey of Dental Caries Segmentation and Detection Techniques

Serestina Viriri, Vincent Majanga, 2022, TheScientificWorldJournal.

A Deep Learning Approach for Automatic Segmentation of Dental Images

Serestina Viriri, Vincent Majanga, Serestina Viriri, 2019, MIKE.

Effective Processing of Convolutional Neural Networks for Computer Vision: A Tutorial and Survey

Serestina Viriri, Ronald Tombe, Serestina Viriri, 2020, IETE Technical Review.

A Review of Local, Holistic and Deep Learning Approaches in Facial Expressions Recognition

Serestina Viriri, Kennedy Chengeta, Serestina Viriri, 2019, 2019 Conference on Information Communications Technology and Society (ICTAS).

A survey on facial recognition based on local directional and local binary patterns

Serestina Viriri, Kennedy Chengeta, Serestina Viriri, 2018, 2018 Conference on Information Communications Technology and Society (ICTAS).

Symbiotic organisms search algorithm for the unrelated parallel machines scheduling with sequence-dependent setup times

Serestina Viriri, O. J. Adeleke, Absalom E Ezugwu, 2018, PloS one.

Melanoma Skin Cancer Classification Using Transfer Learning

Serestina Viriri, M. V. Gwetu, Verosha Pillay, 2020, ICCCI.

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems

Absalom E. Ezugwu, Serestina Viriri, O. J. Adeleke, 2019, Neural Computing and Applications.

Tuberculosis Abnormality Detection in Chest X-Rays: A Deep Learning Approach

Serestina Viriri, Mustapha Oloko-Oba, Serestina Viriri, 2020, ICCVG.

A Spy Search Mechanism (SSM) for Memetic Algorithm (MA) in Dynamic Environments

Serestina Viriri, Stephen M. Akandwanaho, Serestina Viriri, 2017, MIWAI.

Batch Normalized Convolution Neural Network for Liver Segmentation

Serestina Viriri, Fatima Abdalbagi, Mohammed Tajalsir Mohammed, 2020 .

Kidney Tumor Semantic Segmentation Using Deep Learning: A Survey of State-of-the-Art

Serestina Viriri, Abubaker Abdelrahman, 2022, J. Imaging.

Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art

Serestina Viriri, Tirivangani Magadza, Serestina Viriri, 2021, J. Imaging.

Gender classification based on fusion of facial components features

Serestina Viriri, Mayibongwe H. Bayana, Mayibongwe Bayana, 2018, 2018 Conference on Information Communications Technology and Society (ICTAS).

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

Serestina Viriri, Adekanmi Adegun, Serestina Viriri, 2020, Artificial Intelligence Review.

Deep Learning-Based System for Automatic Melanoma Detection

Serestina Viriri, Adekanmi A. Adegun, Serestina Viriri, 2020, IEEE Access.

Multilabel convolution neural network for facial expression recognition and ordinal intensity estimation

Serestina Viriri, Olufisayo Ekundayo, Olufisayo S. Ekundayo, 2021, PeerJ Comput. Sci..

Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review

Serestina Viriri, Stewart Muchuchuti, 2023, J. Imaging.

Skin Lesion Segmentation Using Stochastic Region-Merging and Pixel-Based Markov Random Field

Serestina Viriri, Omran Salih, Serestina Viriri, 2020, Symmetry.

Skin Cancer Detection from Macroscopic Images

Serestina Viriri, Verosha Pillay, Serestina Viriri, 2019, 2019 Conference on Information Communications Technology and Society (ICTAS).

A spy search mechanism for memetic algorithm in dynamic environments

Serestina Viriri, Stephen M. Akandwanaho, Serestina Viriri, 2019, Appl. Soft Comput..

Off-Line Arabic Handwritten Words Segmentation using Morphological Operators pdf

Serestina Viriri, Nisreen AbdAllah, Serestina Viriri, 2020, Signal & Image Processing : An International Journal.

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images

Serestina Viriri, Adekanmi A. Adegun, Serestina Viriri, 2020, IEEE Access.

Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions

Serestina Viriri, Tirivangani Magadza, 2022, IEEE Access.

Plant Species Recognition using Local Binary and Local Directional Patterns

Serestina Viriri, Divyan Hirasen, 2020, 2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC).

Retinal Vessel Segmentation: A Comparative Study of Fuzzy C-Means and Sum Entropy Information on Phase Congruency

Temitope Mapayi, Jules-Raymond Tapamo, Serestina Viriri, 2015 .

Retinal vessel segmentation based on phase congruence and GLCM sum-entropy

Temitope Mapayi, Jules-Raymond Tapamo, Serestina Viriri, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation

Serestina Viriri, Adekanmi Adegun, Serestina Viriri, 2020, ACIVS.

OntoMetrics Evaluation of Quality of e-Government Ontologies

Jean Vincent Fonou Dombeu, Serestina Viriri, Serestina Viriri, 2019, EGOVIS.

Automatic Blob Detection for Dental Caries

Serestina Viriri, Vincent Majanga, Serestina Viriri, 2021, Applied Sciences.

Hybrid Age Estimation Using Facial Images

Serestina Viriri, Simon Reade, Serestina Viriri, 2015, ICIAR.

Deep learning approach for facial age classification: a survey of the state-of-the-art

Serestina Viriri, Olatunbosun Agbo-Ajala, Serestina Viriri, 2020, Artificial Intelligence Review.

Purity and Out of Bag Confidence Metrics for Random Forest Weighting

Jules-Raymond Tapamo, Serestina Viriri, M. V. Gwetu, 2018, ICCCI.

Exploration of Ear Biometrics with Deep Learning

Serestina Viriri, Aimee Booysens, Serestina Viriri, 2020, ICCVG.

Hybrid component-based face recognition

M. V. Gwetu, S. Viriri, A. Gumede, 2017, 2017 Conference on Information Communication Technology and Society (ICTAS).

Apparent age prediction from faces: A survey of modern approaches

Olufisayo S. Ekundayo, Serestina Viriri, Reolyn Heymann, 2022, Frontiers in Big Data.

Classification of Hematoxylin and Eosin-Stained Breast Cancer Histology Microscopy Images Using Transfer Learning with EfficientNets

Serestina Viriri, Chanaleä Munien, Serestina Viriri, 2021, Comput. Intell. Neurosci..

AUTOMATIC RETINAL VESSEL DETECTION AND TORTUOSITY MEASUREMENT

Temitope Mapayi, Jules-Raymond Tapamo, Serestina Viriri, 2016 .

A Hybrid Feature Method for Handling Redundant Features in a Sentinel-2 Multidate Image for Mapping Parthenium Weed

Onisimo Mutanga, Serestina Viriri, Zolo Kiala, 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Adaptive Deep Co-Occurrence Feature Learning Based on Classifier-Fusion for Remote Sensing Scene Classification

Serestina Viriri, Ronald Tombe, Serestina Viriri, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Skin Lesion Images Segmentation: A Survey of the State-of-the-Art

Serestina Viriri, Adegun Adekanmi Adeyinka, Serestina Viriri, 2018, MIKE.

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images

Jean Vincent Fonou Dombeu, J. Odindi, Serestina Viriri, 2023, Sensors.

Face verification across age progression: A survey of the state-of-the-art

Serestina Viriri, Areeg M. Osman, Serestina Viriri, 2018, 2018 Conference on Information Communications Technology and Society (ICTAS).

Invariant feature extraction for facial recognition: A survey of the state-of-the-art

Serestina Viriri, Adam Hassan, Serestina Viriri, 2018, 2018 Conference on Information Communications Technology and Society (ICTAS).

Facial Expression Recognition using Local Directional Pattern variants and Deep Learning

Serestina Viriri, Kennedy Chengeta, Serestina Viriri, 2018, ACAI.

Facial Expression Recognition: A Survey on Local Binary and Local Directional Patterns

Serestina Viriri, Kennedy Chengeta, Serestina Viriri, 2018, ICCCI.

A New Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on Local Homogeneity Information

Temitope Mapayi, Jules-Raymond Tapamo, Serestina Viriri, 2014, ICISP.

Facial Expression Recognition of Instructor Using Deep Features and Extreme Learning Machine

Muhammad Haroon Yousaf, Sergio A. Velastin, Serestina Viriri, 2021, Comput. Intell. Neurosci..

A Lightweight Convolutional Neural Network for Real and Apparent Age Estimation in Unconstrained Face Images

Serestina Viriri, Olatunbosun Agbo-Ajala, Serestina Viriri, 2020, IEEE Access.

Facial Expression Recognition Using Directional Gradient Local Ternary Patterns

Serestina Viriri, Nahla Nour, Serestina Viriri, 2019, MIWAI.

Ensemble of EfficientNets for the Diagnosis of Tuberculosis

Serestina Viriri, M. Oloko-Oba, 2021, Comput. Intell. Neurosci..

Lightweight Deep Learning Framework for Speech Emotion Recognition

Serestina Viriri, A. Adegun, Samson Akinpelu, 2023, IEEE Access.

Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information

Temitope Mapayi, Jules-Raymond Tapamo, Serestina Viriri, 2015, Comput. Math. Methods Medicine.

Leaf Classification Using Convexity Measure of Polygons

Jules-Raymond Tapamo, Serestina Viriri, Deshendran Moodley, 2016, ICISP.

Mammogram content-based image retrieval based on malignancy classification

Jules-Raymond Tapamo, Serestina Viriri, Keith Chikamai, 2017, Intell. Data Anal..

Speech emotion classification using attention based network and regularized feature selection

Serestina Viriri, Samson Akinpelu, 2023, Scientific Reports.

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction

Serestina Viriri, Wilson Bakasa, 2023, Journal of Imaging.

Deep Learning for Age Estimation Using EfficientNet

Serestina Viriri, Idowu Aruleba, Idowu Aruleba, 2021, IWANN.

Random Forests with a Steepend Gini-Index Split Function and Feature Coherence Injection

Serestina Viriri, Jules-Raymond Tapamo, M. V. Gwetu, 2019, MLN.

Robust Feature Selection-Based Speech Emotion Classification Using Deep Transfer Learning

Serestina Viriri, Samson Akinpelu, 2022, Applied Sciences.

Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces

Serestina Viriri, Olatunbosun Agbo-Ajala, Serestina Viriri, 2020, TheScientificWorldJournal.

Scene Classification of Remote Sensing Images Based on ConvNet Features and Multi-grained Forest

Jean Vincent Fonou Dombeu, Serestina Viriri, Ronald Tombe, 2020, ISVC.

Bi-modal biometrics authentication on iris and signature.

Serestina. Viriri, Serestina Viriri, 2010 .

Weather Characterization from Outdoor Scene Images

Serestina Viriri, Jenade Moodley, Serestina Viriri, 2018, ICCVG.

Local Descriptors Parameter characterization with Fisher vectors for remote sensing images

Serestina Viriri, Ronald Tombe, Serestina Viriri, 2019, 2019 Conference on Information Communications Technology and Society (ICTAS).

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems

O. J. Adeleke, A. A. Akinyelu, Serestina Viriri, 2019, Neural Computing and Applications.

Remote Sensing Image Scene Classification: Advances and Open Challenges

Serestina Viriri, Ronald Tombe, 2023, Geomatics.

Agglomerative Clustering and Residual-VLAD Encoding for Human Action Recognition

Muhammad Haroon Yousaf, Sergio A. Velastin, Serestina Viriri, 2020, Applied Sciences.

Gender identification from facial images: Survey of the state-of-the-art

Serestina Viriri, Salma M. Osman Mohammed, Serestina Viriri, 2017, 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT).

Integrating Iris and Signature Traits for Personal Authentication Using User-Specific Weighting

Jules-Raymond Tapamo, Serestina Viriri, Serestina Viriri, 2012, Sensors.

Age estimation using facial images: A survey of the state-of-the-art

Serestina Viriri, Marwa Ahmed, Serestina Viriri, 2017, 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT).

A Probabilistic-Based Deep Learning Model for Skin Lesion Segmentation

Muhammad Haroon Yousaf, Serestina Viriri, Adekanmi Adegun, 2021 .

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting

Serestina Viriri, Wilson Bakasa, 2023, Frontiers in artificial intelligence.

FPN-SE-ResNet Model for Accurate Diagnosis of Kidney Tumors Using CT Images

Serestina Viriri, Abubaker Abdelrahman, 2023, Applied Sciences.

Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art

Serestina Viriri, Wilson Bakasa, 2021, Computational and mathematical methods in medicine.

Skin Lesion Segmentation Using Local Binary Convolution-Deconvolution Architecture

Serestina Viriri, Omran Salih, Serestina Viriri, 2020 .

Bata-Unet: Deep Learning Model for Liver Segmentation

Serestina Viriri, Fatima Abdalbagi, Mohammed Tajalsir Mohammed, 2020 .

Efficient Region of Interest Detection for Liver Segmentation using 3D CT Scans

Serestina Viriri, M. V. Gwetu, Mandlenkosi Gwetu, 2019, 2019 Conference on Information Communications Technology and Society (ICTAS).

Liver segmentation: A survey of the state-of-the-art

Serestina Viriri, Fatima Abdelbagi Mohammed, Serestina Viriri, 2017, 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT).

A Systematic Review of Deep Learning Techniques for Tuberculosis Detection From Chest Radiograph

Serestina Viriri, M. Oloko-Oba, 2022, Frontiers in Medicine.

Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas

Serestina Viriri, Wilson Bakasa, 2023, Adv. Artif. Intell. Mach. Learn..

Component-Based Gender Identification Using Local Binary Patterns

Salma M. Osman, Serestina Viriri, Nahla Noor, 2019, ICCCI.

Symbiotic organisms search algorithm for the unrelated parallel machines scheduling with sequence-dependent setup times

O. J. Adeleke, Serestina Viriri, A. Ezugwu, 2018, PloS one.

Enhanced Convolutional Neural Networks for Segmentation of Retinal Blood Vessel Image

Serestina Viriri, Olubunmi Sule, Serestina Viriri, 2020, 2020 Conference on Information Communications Technology and Society (ICTAS).

Leaf Classification Using Convexity Moments of Polygons

Jules R. Kala, Serestina Viriri, Deshendran Moodley, 2016, ISVC.

Sinuosity Coefficients for Leaf Shape Characterisation

Jules R. Kala, Serestina Viriri, Deshendran Moodley, 2015, NaBIC.

CRank: A Novel Framework for Ranking Semantic Web Ontologies

Jean Vincent Fonou Dombeu, Serestina Viriri, Serestina Viriri, 2018, MEDI.

Unsupervised Caries Detection in Non-standardized Bitewing Dental X-Rays

Serestina Viriri, Darren Osterloh, Serestina Viriri, 2016, ISVC.

On-Board Small-Scale Object Detection for Unmanned Aerial Vehicles (UAVs)

S. Velastín, Serestina Viriri, M. Yousaf, 2023, Drones.

Exploring dermoscopic structures for melanoma lesions' classification

Serestina Viriri, H. Sial, Fiza Saeed Malik, 2024, Frontiers in Big Data.

Efficient nnU-Net for Brain Tumor Segmentation

Serestina Viriri, Tirivangani Magadza, 2023, IEEE Access.

Deep Forest Approach for Facial Expression Recognition

Serestina Viriri, Olufisayo Ekundayo, Olufisayo S. Ekundayo, 2019, PSIVT Workshops.

Offline signature verification using locally optimized distance-based classification

Jules-Raymond Tapamo, Serestina Viriri, Fulufhelo Vincent Nelwamondo, 2013, South Afr. Comput. J..

Face Expression Recognition using Convolution Neural Network (CNN) Models

Serestina Viriri, M. Elhebir, Nahla Nour, 2020, International Journal of Grid Computing & Applications.

Deep Residual Learning for Human Identification Based on Facial Landmarks

Serestina Viriri, Abdelgader Abdelwhab Abdelgader, Serestina Viriri, 2019, IWANN.

Ensemble of Convolution Neural Networks for Automatic Tuberculosis Classification

Serestina Viriri, Mustapha Oloko-Oba, Serestina Viriri, 2021, ICCCI.

Deep Learning Framework for Speech Emotion Classification: A Survey of the State-of-the-Art

Serestina Viriri, Samson Akinpelu, 2024, IEEE Access.

Predictive Memetic Algorithm (PMA) for Combinatorial Optimization in Dynamic Environments

Serestina Viriri, Stephen M. Akandwanaho, Serestina Viriri, 2018, ICCCI.