Benjamin Asubam Weyori

Orcid: 0000-0001-5422-4251

According to our database1, Benjamin Asubam Weyori authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
The significant impact of parameter tuning on blocking bug prediction.
Int. J. Syst. Assur. Eng. Manag., October, 2023

Predicting diabetes using Cohen's Kappa blending ensemble learning.
Int. J. Electron. Heal., 2023

2022
Classification of Blood Cells Using Optimized Capsule Networks.
Neural Process. Lett., 2022

Exploring the performance of LBP-capsule networks with K-Means routing on complex images.
J. King Saud Univ. Comput. Inf. Sci., 2022

Applications of artificial intelligence in engineering and manufacturing: a systematic review.
J. Intell. Manuf., 2022

Improving the Financial Security of National Health Insurance using Cloud-Based Blockchain Technology Application.
Int. J. Inf. Manag. Data Insights, 2022

2021
Models in quantum computing: a systematic review.
Quantum Inf. Process., 2021

Capsule network with K-Means routingfor plant disease recognition.
J. Intell. Fuzzy Syst., 2021

A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction.
J. Big Data, 2021

Enhancing Flood Prediction using Ensemble and Deep Learning Techniques.
Proceedings of the 22nd International Arab Conference on Information Technology, 2021

2020
Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana.
Appl. Comput. Syst., 2020

Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks.
J. Big Data, 2020

A comprehensive evaluation of ensemble learning for stock-market prediction.
J. Big Data, 2020

Efficient Stock-Market Prediction Using Ensemble Support Vector Machine.
Open Comput. Sci., 2020

A systematic review of fundamental and technical analysis of stock market predictions.
Artif. Intell. Rev., 2020

2016
Unsupervised discriminant canonical correlation analysis based on spectral clustering.
Neurocomputing, 2016


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