Richard C. Millham

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 45

Top Topics

Global Optimization

Wireless Sensor

Search Algorithm

Top Venues

Publications

Richard Nana Nketsiah, Richard C. Millham, Israel Edem Agbehadji, Emmanuel Freeman, Richard Koblah Agbehadzi
Fox Prey Optimisation: A Novel Multi-Objective Approach for Congestion Control in Wired Computer Networks. ICTAS (2024)
Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C. Millham, Emmanuel Freeman
Rule of Thumb for Estimating Workforce Allocations (ROT4WFA) for Computer Networking Projects. ICTAS (2024)
Zehui Zhan, Jiarong Chen, Kangming Li, Linfei Huang, Lin Xu, Gui-Bin Bian, Richard C. Millham, Victor Hugo C. de Albuquerque, Wanqing Wu
Conditional generative adversarial network driven variable-duration single-lead to 12-lead electrocardiogram reconstruction. Biomed. Signal Process. Control. 95 (2024)
Elliot Mbunge, Stephen Gbenga Fashoto, Benhildah Muchemwa, Richard C. Millham, Garikayi Chemhaka, Maureen Nokuthula Sibiya, Tafadzwa Dzinamarira, Jolly Buwerimwe
Application of machine learning techniques for predicting child mortality and identifying associated risk factors. ICTAS (2023)
Israel Edem Agbehadji, Richard C. Millham, Simon James Fong, Richard Koblah Agbehadzi
Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location. CECNet (2023)
Nondumiso Sihlangu, Richard C. Millham
Analysis of machine learning methods to determine the best data analysis method for diabetes prediction. ICTAS (2023)
Quanyi Hu, Feng Wu, Raymond K. Wong, Richard C. Millham, Jinan Fiaidhi
A novel indoor localization system using machine learning based on bluetooth low energy with cloud computing. Computing 105 (3) (2023)
Elliot Mbunge, Maureen Nokuthula Sibiya, Sam Takavarasha, Richard C. Millham, Garikayi Chemhaka, Benhildah Muchemwa, Tafadzwa Dzinamarira
Implementation of ensemble machine learning classifiers to predict diarrhoea with SMOTEENN, SMOTE, and SMOTETomek class imbalance approaches. ICTAS (2023)
Samuel Ofori Frimpong, Israel Edem Agbehadji, Abdultaofeek Abayomi, Richard C. Millham, Emmanuel Freeman, Martin Mabeifam Ujakpa
Economic and reliability determination of sustainable renewable energy mix based on social spider prey optimization algorithm. Soft Comput. 27 (15) (2023)
Israel Edem Agbehadji, Abdultaofeek Abayomi, Khac-Hoai Nam Bui, Richard C. Millham, Emmanuel Freeman
Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin. Sensors 22 (16) (2022)
Elliot Mbunge, Richard C. Millham, Maureen Nokuthula Sibiya, Sam Takavarasha
Application of machine learning models to predict malaria using malaria cases and environmental risk factors. ICTAS (2022)
Israel Edem Agbehadji, Bankole Osita Awuzie, Alfred Beati Ngowi, Richard C. Millham, Samuel Ofori Frimpong
Global Optimization: A Hybrid Social Spider-Prey and Kestrel-Based Search Strategy in Multi-dimensional Search Space. ICIIA (2021)
Shimin Hu, Simon Fong, Wei Song, Kyungeun Cho, Richard C. Millham, Jinan Fiaidhi
Novel evolutionary-EAC instance-learning-based algorithm for fast data stream mining in assisted living with extreme connectivity. Computing 103 (7) (2021)
Elliot Mbunge, Maureen Nokuthula Sibiya, Richard C. Millham, Sam Takavarasha
m-health framework for improving malaria information dissemination in Buhera rural district amid COVID-19 and beyond. ICTAS (2021)
Israel Edem Agbehadji, Richard C. Millham, Abdultaofeek Abayomi, Jason J. Jung, Simon James Fong, Samuel Ofori Frimpong
Clustering algorithm based on nature-inspired approach for energy optimization in heterogeneous wireless sensor network. Appl. Soft Comput. 104 (2021)
Samuel Ofori Frimpong, Richard C. Millham, Israel Edem Agbehadji, Jason J. Jung
Social Spider and the Prey Search Method for Global Optimization in Hyper Dimensional Search Space. ICIIA (2021)
Kun Lan, Simon Fong, Liansheng Liu, Raymond K. Wong, Nilanjan Dey, Richard C. Millham, Kelvin Kian Loong Wong
A clustering based variable sub-window approach using particle swarm optimisation for biomedical sensor data monitoring. Enterp. Inf. Syst. 15 (1) (2021)
Shimin Hu, Simon Fong, Lili Yang, Shuang-Hua Yang, Nilanjan Dey, Richard C. Millham, Jinan Fiaidhi
Fast and Accurate Terrain Image Classification for ASTER Remote Sensing by Data Stream Mining and Evolutionary-EAC Instance-Learning-Based Algorithm. Remote. Sens. 13 (6) (2021)
Elliot Mbunge, Maureen Nokuthula Sibiya, Richard C. Millham, Sam Takavarasha
Micro-spatial modelling of malaria cases and environmental risk factors in Buhera rural district, Zimbabwe. ICTAS (2021)
Samuel Ofori Frimpong, Richard C. Millham, Israel Edem Agbehadji
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. ICCSA (9) (2021)
Israel Edem Agbehadji, Richard C. Millham, Bankole Osita Awuzie, Alfred Beati Ngowi
Stakeholder's Perspective of Digital Technologies and Platforms Towards Smart Campus Transition: Challenges and Prospects. ICIIA (2021)
Jay Pancham, Richard C. Millham, Simon James Fong
Determining the Impact of Perspex Obstacles on Bluetooth Transmission Paths Within a Simulated Office Environment for More Accurate Location Determination. ICCSA (9) (2021)
Jay Pancham, Richard C. Millham, Simon James Fong
Analysis of Bluetooth Low Energy RSSI Values for Use as a Real Time Link Quality Indicator for Indoor Location. ICCSA (6) (2020)
Khac-Hoai Nam Bui, Israel Edem Agbehadji, Richard C. Millham, David Camacho, Jason J. Jung
Distributed artificial bee colony approach for connected appliances in smart home energy management system. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C. Millham, Simon James Fong, Jason J. Jung
Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks. Int. J. Distributed Sens. Networks 16 (7) (2020)
Israel Edem Agbehadji, Richard C. Millham, Simon James Fong, Jason J. Jung, Khac-Hoai Nam Bui, Abdultaofeek Abayomi
Multi-stage Clustering Algorithm for Energy Optimization in Wireless Sensor Networks. SCDS (2019)
Israel Edem Agbehadji, Richard C. Millham, Simon James Fong, Jason J. Jung, Khac-Hoai Nam Bui, Abdultaofeek Abayomi, Samuel Ofori Frimpong
Bio-inspired energy efficient clustering approach for wireless sensor networks. WINCOM (2019)
Israel Edem Agbehadji, Richard C. Millham, Simon James Fong, Hongji Yang
Integration of Kestrel-based search algorithm with artificial neural network for feature subset selection. Int. J. Bio Inspired Comput. 13 (4) (2019)
Tengyue Li, Simon Fong, Richard C. Millham, Jinan Fiaidhi, Sabah Mohammed
Fast Incremental Learning With Swarm Decision Table and Stochastic Feature Selection in an IoT Extreme Automation Environment. IT Prof. 21 (2) (2019)
Israel Edem Agbehadji, Abdultaofeek Abayomi, Richard C. Millham, Ekua Andowa Biney, Kwabena Obiri Yeboah
Framework on mobile technology utilization for assisted healthcare service request and delivery for aged persons: a case of Ghana. SCA (2019)
Victoria Mukami, Richard C. Millham, Threethambal Puckree
mHealth: ICT framework for mitigating the determinants of maternal and neonatal morality. AFRICON (2019)
Suash Deb, Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham, Kelvin Kian Loong Wong
Elephant search algorithm applied to data clustering. Soft Comput. 22 (18) (2018)
Israel Edem Agbehadji, Richard C. Millham, Surendra Thakur, Hongji Yang, Hillar Addo
Visualization of Frequently Changed Patterns Based on the Behaviour of Dung Beetles. SCDS (2018)
Jay Pancham, Richard C. Millham, Simon James Fong
A Scalable Bluetooth Low Energy Design Model for Sensor Detection for an Indoor Real Time Location System. ICCSA (4) (2018)
Israel Edem Agbehadji, Richard C. Millham, Simon James Fong, Hongji Yang
Kestrel-based Search Algorithm (KSA) and Long Short Term Memory (LSTM) Network for feature selection in classification of high-dimensional bioinformatics datasets. FedCSIS (2018)
Jay Pancham, Richard C. Millham, Simon James Fong
Analysis of Bluetooth Low Energy Detection Range Improvements for Indoor Environments. ICCS (3) (2018)
Jay Pancham, Richard C. Millham, Simon James Fong
Investigation of Obstructions and Range Limit on Bluetooth Low Energy RSSI for the Healthcare Environment. ICCSA (4) (2018)
Simon Fong, Robert P. Biuk-Aghai, Richard C. Millham
Swarm Search Methods in Weka for Data Mining. ICMLC (2018)
Bin Bin Ma, Simon Fong, Richard C. Millham
Data stream mining in fog computing environment with feature selection using ensemble of swarm search algorithms. ICTAS (2018)
Rui Tang, Simon Fong, Suash Deb, Athanasios V. Vasilakos, Richard C. Millham
Dynamic group optimisation algorithm for training feed-forward neural networks. Neurocomputing 314 (2018)
Jay Pancham, Richard C. Millham, Simon Fong
Assessment of Feasible Methods Used by the Health Care Industry for Real Time Location. FedCSIS (Position Papers) (2017)
Kun Lan, Simon Fong, Wei Song, Athanasios V. Vasilakos, Richard C. Millham
Self-Adaptive Pre-Processing Methodology for Big Data Stream Mining in Internet of Things Environmental Sensor Monitoring. Symmetry 9 (10) (2017)
Jay Pancham, Richard C. Millham, Simon James Fong
Evaluation of Real Time Location System technologies in the health care sector. ICCSA (7) (2017)
Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham
Elephant search algorithm on data clustering. ICNC-FSKD (2016)
Zhonghuan Tian, Simon Fong, Raymond K. Wong, Richard C. Millham
Optimizing self-adaptive gender ratio of elephant search algorithm by min-max strategy. ICNC-FSKD (2016)
Jay Pancham, Richard C. Millham
Design Phase Consistency: A Tool for Reverse Engineering of UML Activity Diagrams to Their Original Scenarios in the Specification Phase. ICCSA (4) (2015)
Richard C. Millham, Evans Dogbe
Aspect-Oriented Security and Exception Handling within an Object Oriented System. COMPSAC Workshops (2011)
Richard C. Millham
Migration of a Legacy Procedural System to Service-Oriented Computing Using Feature Analysis. CISIS (2010)
Richard C. Millham, Hongji Yang
Industrial Report: Data Reengineering of COBOL Sequential Legacy Systems. COMPSAC (1) (2009)
Richard C. Millham, Hongji Yang
Domain Analysis in the Reengineering Process of a COBOL System. COMPSAC (2) (2009)
Richard C. Millham, Jianjun Pu, Hongji Yang
TAGDUR: A tool for producing uml sequence, deployment, and component diagrams through reengineering of legacy systems. IASTED Conf. on Software Engineering (2004)
Richard C. Millham, Martin P. Ward, Hongji Yang
Determining Granularity of Independent Tasks for Reengineering a Legacy System into an OO System. COMPSAC (2003)
Richard C. Millham
An Investigation: Reengineering Sequential Procedure-Driven Software into Object-Oriented Event-Driven Software through UML Diagrams. COMPSAC (2002)