Benjamin Asubam Weyori

According to our database, Benjamin Asubam Weyori authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A scaling up approach: a research agenda for medical imaging analysis with applications in deep learning.

Yaw Afriyie, Benjamin Asubam Weyori, Alex Akwasi Opoku

J. Exp. Theor. Artif. Intell., November, 2024

DPafy-GCaps: Denoising patch-and-amplify Gabor capsule network for the recognition of gastrointestinal diseases.

Henrietta Pokuaa Adjei, Adeboya Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng

Turkish J. Electr. Eng. Comput. Sci., 2024

2023

The significant impact of parameter tuning on blocking bug prediction.

Selasie Brown Aformaley, Benjamin Asubam Weyori, Adebayo Felix Adekoya, Patrick Kwaku Kudjo

Int. J. Syst. Assur. Eng. Manag., October, 2023

Predicting diabetes using Cohen's Kappa blending ensemble learning.

Isaac Kofi Nti, Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Henrietta Pokuaa Adjei

Int. J. Electron. Heal., 2023

2022

Classification of Blood Cells Using Optimized Capsule Networks.

Yaw Afriyie, Benjamin Asubam Weyori, Alex Akwasi Opoku

Neural Process. Lett., 2022

Exploring the performance of LBP-capsule networks with K-Means routing on complex images.

Patrick Kwabena Mensah, Benjamin Asubam Weyori, Mighty Abra Ayidzoe

J. King Saud Univ. Comput. Inf. Sci., 2022

Applications of artificial intelligence in engineering and manufacturing: a systematic review.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Owusu Nyarko-Boateng

J. Intell. Manuf., 2022

Improving the Financial Security of National Health Insurance using Cloud-Based Blockchain Technology Application.

Anokye Acheampong Amponsah, Adebayo Felix Adekoya, Benjamin Asubam Weyori

Int. J. Inf. Manag. Data Insights, 2022

2021

Models in quantum computing: a systematic review.

Peter Nimbe, Benjamin Asubam Weyori, Adebayo Felix Adekoya

Quantum Inf. Process., 2021

Capsule network with K-Means routingfor plant disease recognition.

Patrick Kwabena Mensah, Benjamin Asubam Weyori, Mighty Abra Ayidzoe

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.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

J. Big Data, 2021

Enhancing Flood Prediction using Ensemble and Deep Learning Techniques.

Isaac Kofi Nti, Owusu Nyarko-Boateng, Samuel Boateng, Faiza Umar Bawah, Promise Ricardo Agbedanu, Nicodemus Songose Awarayi, Peter Nimbe, Adebayo Felix Adekoya, Benjamin Asubam Weyori, Vivian Akoto-Adjepong

Proceedings of the 22nd International Arab Conference on Information Technology, 2021

2020

Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

Appl. Comput. Syst., 2020

Using machine learning techniques to predict the cost of repairing hard failures in underground fiber optics networks.

Owusu Nyarko-Boateng, Adebayo Felix Adekoya, Benjamin Asubam Weyori

J. Big Data, 2020

A comprehensive evaluation of ensemble learning for stock-market prediction.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

J. Big Data, 2020

Efficient Stock-Market Prediction Using Ensemble Support Vector Machine.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

Open Comput. Sci., 2020

A systematic review of fundamental and technical analysis of stock market predictions.

Isaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam Weyori

Artif. Intell. Rev., 2020

2016

Unsupervised discriminant canonical correlation analysis based on spectral clustering.

Sheng Wang, Jianfeng Lu, Xingjian Gu, Benjamin Asubam Weyori, Jing-Yu Yang

Neurocomputing, 2016