Yaw Marfo Missah

Computer Science

About

Yaw Marfo Missah is a computer scientist who has dedicated his career to the advancement of Artificial Intelligence research. Over the past years, I have been actively involved in conducting research in the field of Artificial Intelligence.I am passionate about the value of computer science, especially artificial intelligence (AI) thinking and the use of AI techniques to improve all aspects of life. In research, I collaborate with other scientists from engineering, mathematics, food science, and Public health experts. My passion is to make students understand the core subject of artificial intelligence and its applications.

Research Summary

(inferred from publications by AI)

The researcher's work spans a broad range of interdisciplinary fields, combining advancements in AI with applications across various domains. Their research focuses on leveraging intelligent systems for environmental and medical challenges, developing novel techniques for analyzing emotional states using linguistic models, addressing security concerns through encryption and network solutions, advancing big data analytics in different contexts, enhancing cloud computing security for better decision-making, improving the effectiveness of educational technologies, and employing innovative approaches to ensure privacy. Their work reflects a commitment to overcoming technical and societal barriers across healthcare, education, power systems, and environmental sciences.

Research Themes

All Papers

Rainfall Prediction Using Machine Learning Algorithms for the Various Ecological Zones of Ghana(2021)

A Novel Computer Vision Model for Medicinal Plant Identification Using Log-Gabor Filters and Deep Learning Algorithms(2022)

Textural Analysis for Medicinal Plants Identification Using Log Gabor Filters(2022)

Hybrid Approach to Medicinal Plant Leaf Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Homomorphic Filter(2021)

DLCA-CapsNet: Dual-Lane CDH Atrous CapsNet for the Detection of Plant Diseases(2025)

Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks(2020)

Evaluation of information technology impact on bank’s performance: The Ghanaian experience(2019)

Bank Classification Algorithm: Case Study of Ghanaian Banks(2019)

Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection(2022)

Corrections to “Evaluation of Conversational Agents: Understanding Culture, Context and Environment in Emotion Detection”(2022)

Expert System in Enhancing Efficiency in Basic Educational Management using Data Mining Techniques(2021)

Integrating expert system in managing basic education: A survey in Ghana(2023)

Agile neural expert system for managing basic education(2023)

A critical review of data mining in education on the levels and aspects of education(2024)

Systematic Review of Data Mining in Education on the Levels and Aspects of Education.(2023)

Data Mining and Visualisation of Basic Educational Resources for Quality Education(2022)

PRISMA Archetype-Based Systematic Literature Review of Security Algorithms in the Cloud(2023)

Cryptographic Solutions for Data Security in Cloud Computing:(2024)

Ensuring confidentiality and privacy of cloud data using a non-deterministic cryptographic scheme(2023)

Ensuring privacy and confidentiality of cloud data: A comparative analysis of diverse cryptographic solutions based on run time trend(2023)

Securing cloud data using secret key 4 optimization algorithm (SK4OA) with a non-linearity run time trend(2024)

A Comparative Study of Linear and Non-Linear Cryptographic Algorithms in Cloud Computing(2023)

An Overview and Comparative Study of Traditional, Chaos-Based and Machine Learning Approaches in Pseudorandom Number Generation(2025)

Pixel-Based Unsupervised Classification Approach for Information Detection on Optical Markup Recognition Sheet(2017)

Information Technology Impact on Productivity(2018)

Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review(2021)

An enhanced RSA algorithm using Gaussian interpolation formula(2022)

Evaluating Agile Neural Educational System for Effective Resource Management(2023)

Evaluating Agile Neural Educational System for Effective Resource Management.(2023)

Ensuring privacy and confidentiality of data on the cloud using an enhanced homomorphism scheme(2022)

CFS-AE: Correlation-based Feature Selection and Autoencoder for Improved Intrusion Detection System Performance(2024)

Analyzing Autoencoder-Based Intrusion Detection System Performance(2023)

Cold Boot Attack on Encrypted Containers for Forensic Investigations(2022)

The use of Efficientnet_b0 network to identify COVID-19 in chest X-ray images(2024)

Implementation of Electronic Medical Records—A Case Study of an Eye Hospital(2013)

The Effect of Smart Mobile Devices Ownership and Usage on Insomnia among Health Trainees in Ghana(2019)

Agile Neural Expert System for Managing Basic Education(2022)

Improving the Use of Information Systems for Hospital Management Using Balanced Scorecard Framework(2017)

Efficient Authentication Protocol and Its Application in Resonant Inductive Coupling Wireless Power Transfer Systems(2021)

Network-Centric Optimal Hybrid Mobility Scheme for IPv6 Wireless Sensor Networks(2021)

Implementation of a Data Protection Model dubbed Harricent_RSECC(2022)

Reseed Skipping of Linear Congruential Generator for Multi-level Image Steganography Security of Financial Data(2022)

Network-centric Optimal Hybrid Sensing Hole Recovery and Self- Healing in IPV6 WSNs(2024)

Hybrid framework of differential privacy and secure multi-party computation for privacy-preserving entity resolution(2025)

Collaboration Network

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Research Collaboration Map

Collaboration Frequency

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.