An Investigation: Reengineering Sequential Procedure-Driven Software into Object-Oriented Event-Driven Software through UML Diagrams. - Richard C. Millham (COMPSAC, 2002)

Determining Granularity of Independent Tasks for Reengineering a Legacy System into an OO System. - Richard C. Millham; Martin P. Ward; Hongji Yang (COMPSAC, 2003)

TAGDUR: A tool for producing uml sequence, deployment, and component diagrams through reengineering of legacy systems. - Richard C. Millham; Jianjun Pu; Hongji Yang (IASTED Conf. on Software Engineering, 2004)

Evolution of batch-oriented COBOL systems into object-oriented systems through unified modelling language. - Richard C. Millham (2006)

Commercialization of Web Portals. - Richard C. Millham (Encyclopedia of Portal Technologies and Applications, 2007)

Issues in Mobile Learning in Ghana. - Richard C. Millham (Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, 2008)

Industrial Report: Data Reengineering of COBOL Sequential Legacy Systems. - Richard C. Millham; Hongji Yang (COMPSAC (1), 2009)

Domain Analysis in the Reengineering Process of a COBOL System. - Richard C. Millham; Hongji Yang (COMPSAC (2), 2009)

Migration of a Legacy Procedural System to Service-Oriented Computing Using Feature Analysis. - Richard C. Millham (CISIS, 2010)

Aspect-Oriented Security and Exception Handling within an Object Oriented System. - Richard C. Millham; Evans Dogbe (COMPSAC Workshops, 2011)

Design Phase Consistency: A Tool for Reverse Engineering of UML Activity Diagrams to Their Original Scenarios in the Specification Phase. - Jay Pancham; Richard C. Millham (ICCSA (4), 2015)

Optimizing self-adaptive gender ratio of elephant search algorithm by min-max strategy. - Zhonghuan Tian; Simon Fong 001; Raymond K. Wong 001; Richard C. Millham (ICNC-FSKD, 2016)

Elephant search algorithm on data clustering. - Zhonghuan Tian; Simon Fong 001; Raymond K. Wong 001; Richard C. Millham (ICNC-FSKD, 2016)

Assessment of Feasible Methods Used by the Health Care Industry for Real Time Location. - Jay Pancham; Richard C. Millham; Simon Fong 001 (FedCSIS (Position Papers), 2017)

Evaluation of Real Time Location System technologies in the health care sector. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCSA (7), 2017)

Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring. - Kun Lan; Simon Fong 001; Wei Song 004; Athanasios V. Vasilakos; Richard C. Millham (Symmetry, 2017)

Kestrel-based Search Algorithm (KSA) and Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets. - Israel Edem Agbehadji; Richard C. Millham; Simon James Fong; Hongji Yang (FedCSIS, 2018)

Analysis of Bluetooth Low Energy Detection Range Improvements for Indoor Environments. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCS (3), 2018)

Investigation of Obstructions and Range Limit on Bluetooth Low Energy RSSI for the Healthcare Environment. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCSA (4), 2018)

A Scalable Bluetooth Low Energy Design Model for Sensor Detection for an Indoor Real Time Location System. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCSA (4), 2018)

Swarm Search Methods in Weka for Data Mining. - Simon Fong 001; Robert P. Biuk-Aghai; Richard C. Millham (ICMLC, 2018)

Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms. - Bin Bin Ma; Simon Fong 001; Richard C. Millham (ICTAS, 2018)

Visualization of Frequently Changed Patterns Based on the Behaviour of Dung Beetles. - Israel Edem Agbehadji; Richard C. Millham; Surendra Thakur; Hongji Yang; Hillar Addo (SCDS, 2018)

Dynamic group optimisation algorithm for training feed-forward neural networks. - Rui Tang 010; Simon Fong 001; Suash Deb; Athanasios V. Vasilakos; Richard C. Millham (Neurocomputing, 2018)

Elephant search algorithm applied to data clustering. - Suash Deb; Zhonghuan Tian; Simon Fong 001; Raymond K. Wong 001; Richard C. Millham; Kelvin Kian Loong Wong (Soft Comput., 2018)

mHealth: ICT framework for mitigating the determinants of maternal and neonatal morality. - Victoria Mukami; Richard C. Millham; Threethambal Puckree (AFRICON, 2019)

Framework on mobile technology utilization for assisted healthcare service request and delivery for aged persons: a case of Ghana. - Israel Edem Agbehadji; Abdultaofeek Abayomi; Richard C. Millham; Ekua Andowa Biney; Kwabena Obiri Yeboah (SCA, 2019)

Multi-stage Clustering Algorithm for Energy Optimization in Wireless Sensor Networks. - Israel Edem Agbehadji; Richard C. Millham; Simon James Fong; Jason J. Jung; Khac-Hoai Nam Bui; Abdultaofeek Abayomi (SCDS, 2019)

Bio-inspired energy efficient clustering approach for wireless sensor networks. - Israel Edem Agbehadji; Richard C. Millham; Simon James Fong; Jason J. Jung; Khac-Hoai Nam Bui; Abdultaofeek Abayomi; Samuel Ofori Frimpong (WINCOM, 2019)

Integration of Kestrel-based search algorithm with artificial neural network for feature subset selection. - Israel Edem Agbehadji; Richard C. Millham; Simon James Fong; Hongji Yang (Int. J. Bio Inspired Comput., 2019)

Fast Incremental Learning With Swarm Decision Table and Stochastic Feature Selection in an IoT Extreme Automation Environment. - Tengyue Li; Simon Fong 001; Richard C. Millham; Jinan Fiaidhi; Sabah Mohammed (IT Prof., 2019)

Analysis of Bluetooth Low Energy RSSI Values for Use as a Real Time Link Quality Indicator for Indoor Location. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCSA (6), 2020)

Distributed artificial bee colony approach for connected appliances in smart home energy management system. - Khac-Hoai Nam Bui; Israel Edem Agbehadji; Richard C. Millham; David Camacho; Jason J. Jung (Expert Syst. J. Knowl. Eng., 2020)

Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks. - Israel Edem Agbehadji; Samuel Ofori Frimpong; Richard C. Millham; Simon James Fong; Jason J. Jung (Int. J. Distributed Sens. Networks, 2020)

A Comprehensive Review of Nature-Inspired Search Techniques Used in Estimating Optimal Configuration Size, Cost, and Reliability of a Mini-grid HRES: A Systemic Review. - Samuel Ofori Frimpong; Richard C. Millham; Israel Edem Agbehadji (ICCSA (9), 2021)

Determining the Impact of Perspex Obstacles on Bluetooth Transmission Paths Within a Simulated Office Environment for More Accurate Location Determination. - Jay Pancham; Richard C. Millham; Simon James Fong (ICCSA (9), 2021)

Global Optimization: A Hybrid Social Spider-Prey and Kestrel-Based Search Strategy in Multi-dimensional Search Space. - Israel Edem Agbehadji; Bankole Osita Awuzie; Alfred Beati Ngowi; Richard C. Millham; Samuel Ofori Frimpong (ICIIA, 2021)

Stakeholder's Perspective of Digital Technologies and Platforms Towards Smart Campus Transition: Challenges and Prospects. - Israel Edem Agbehadji; Richard C. Millham; Bankole Osita Awuzie; Alfred Beati Ngowi (ICIIA, 2021)

Social Spider and the Prey Search Method for Global Optimization in Hyper Dimensional Search Space. - Samuel Ofori Frimpong; Richard C. Millham; Israel Edem Agbehadji; Jason J. Jung (ICIIA, 2021)

Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe. - Elliot Mbunge; Maureen Nokuthula Sibiya; Richard C. Millham; Sam Takavarasha (ICTAS, 2021)

m-health framework for improving malaria information dissemination in Buhera rural district amid COVID-19 and beyond. - Elliot Mbunge; Maureen Nokuthula Sibiya; Richard C. Millham; Sam Takavarasha (ICTAS, 2021)

Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network. - Israel Edem Agbehadji; Richard C. Millham; Abdultaofeek Abayomi; Jason J. Jung; Simon James Fong; Samuel Ofori Frimpong (Appl. Soft Comput., 2021)

Novel evolutionary-EAC instance-learning-based algorithm for fast data stream mining in assisted living with extreme connectivity. - Shimin Hu 002; Simon Fong 001; Wei Song 004; Kyungeun Cho; Richard C. Millham; Jinan Fiaidhi (Computing, 2021)

A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring. - Kun Lan; Simon Fong 001; Liansheng Liu; Raymond K. Wong 001; Nilanjan Dey; Richard C. Millham; Kelvin Kian Loong Wong (Enterp. Inf. Syst., 2021)

Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm. - Shimin Hu 002; Simon Fong 001; Lili Yang 001; Shuang-Hua Yang; Nilanjan Dey; Richard C. Millham; Jinan Fiaidhi (Remote. Sens., 2021)

Application of machine learning models to predict malaria using malaria cases and environmental risk factors. - Elliot Mbunge; Richard C. Millham; Maureen Nokuthula Sibiya; Sam Takavarasha (ICTAS, 2022)

Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin. - Israel Edem Agbehadji; Abdultaofeek Abayomi; Khac-Hoai Nam Bui; Richard C. Millham; Emmanuel Freeman (Sensors, 2022)

Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location. - Israel Edem Agbehadji; Richard C. Millham; Simon James Fong; Richard Koblah Agbehadzi (CECNet, 2023)

Application of machine learning techniques for predicting child mortality and identifying associated risk factors. - Elliot Mbunge; Stephen Gbenga Fashoto; Benhildah Muchemwa; Richard C. Millham; Garikayi Chemhaka; Maureen Nokuthula Sibiya; Tafadzwa Dzinamarira; Jolly Buwerimwe (ICTAS, 2023)

Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches. - Elliot Mbunge; Maureen Nokuthula Sibiya; Sam Takavarasha; Richard C. Millham; Garikayi Chemhaka; Benhildah Muchemwa; Tafadzwa Dzinamarira (ICTAS, 2023)

Analysis of machine learning methods to determine the best data analysis method for diabetes prediction. - Nondumiso Sihlangu; Richard C. Millham (ICTAS, 2023)

A novel indoor localization system using machine learning based on bluetooth low energy with cloud computing. - Quanyi Hu; Feng Wu; Raymond K. Wong 001; Richard C. Millham; Jinan Fiaidhi (Computing, 2023)

Economic and reliability determination of sustainable renewable energy mix based on social spider prey optimization algorithm. - Samuel Ofori Frimpong; Israel Edem Agbehadji; Abdultaofeek Abayomi; Richard C. Millham; Emmanuel Freeman; Martin Mabeifam Ujakpa (Soft Comput., 2023)

Rule of Thumb for Estimating Workforce Allocations (ROT4WFA) for Computer Networking Projects. - Richard Nana Nketsiah; Israel Edem Agbehadji; Richard C. Millham; Emmanuel Freeman (ICTAS, 2024)

Fox Prey Optimisation: A Novel Multi-Objective Approach for Congestion Control in Wired Computer Networks. - Richard Nana Nketsiah; Richard C. Millham; Israel Edem Agbehadji; Emmanuel Freeman; Richard Koblah Agbehadzi (ICTAS, 2024)

Conditional generative adversarial network driven variable-duration single-lead to 12-lead electrocardiogram reconstruction. - Zehui Zhan; Jiarong Chen; Kangming Li; Linfei Huang; Lin Xu 008; Gui-Bin Bian; Richard C. Millham; Victor Hugo C. de Albuquerque; Wanqing Wu (Biomed. Signal Process. Control., 2024)

Parent-Child Nature-Inspired Method for Cost Optimisation in Computer Networking Infrastructure Projects. - Richard Nana Nketsiah; Richard Charles Millham; Israel Edem Agbehadji; Emmanuel Freeman; Simon James Fong (ISCBI, 2025)

Small-Scale Martian Crater Detection by Deep Learning With Enhanced Capture of Features Information and Long-Range Dependencies. - Zhichao Yu; Simon Fong 001; Richard C. Millham (IEEE Geosci. Remote. Sens. Lett., 2025)

Application of Machine Learning and Deep Learning Techniques for Enhanced Insider Threat Detection in Cybersecurity: Bibliometric Review. - Hillary Kwame Ofori; Kwame Bell-Dzide; William Leslie Brown-Acquaye; Forgor Lempogo; Samuel Ofori Frimpong; Israel Edem Agbehadji; Richard C. Millham (Symmetry, 2025)

Joint HW/SW Signal Co-Conditioning Strategy for Unobtrusive Single-Arm Cardiac Surveillance. - Linfei Huang; Jiarong Chen; Xianbin Zhang; Zhen Li 049; Lin Xu 008; Richard C. Millham; Gui-Bin Bian; Wan-Qing Wu (IEEE Trans. Instrum. Meas., 2025)