Abdullahi Uwaisu Muhammad

According to our database, Abdullahi Uwaisu Muhammad authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Blockchain federated learning with sparsity for IoMT devices.

Abdoul Fatakhou Ba, Yingchi Mao, Abdullahi Uwaisu Muhammad, Omaji Samuel, Tasiu Muazu, Umar Muhammad Mustapha Kumshe

Clust. Comput., February, 2025

2024

IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning.

Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, Muhammad Ibrahim, Omaji Samuel, Prayag Tiwari

IEEE Trans. Netw. Serv. Manag., February, 2024

Exploring LSTM-based Attention Mechanisms with PSO and Grid Search under Different Normalization Techniques for Energy demands Time Series Forecasting.

Andri Pranolo, Xiaofeng Zhou, Yingchi Mao, Bambang Widi Pratolo, Aji Prasetya Wibawa, Agung Bella Putra Utama, Abdoul Fatakhou Ba, Abdullahi Uwaisu Muhammad

Knowl. Eng. Data Sci., 2024

A federated learning system with data fusion for healthcare using multi-party computation and additive secret sharing.

Tasiu Muazu, Yingchi Mao, Abdullahi Uwaisu Muhammad, Muhammad Ibrahim, Umar Muhammad Mustapha Kumshe, Omaji Samuel

Comput. Commun., 2024

Fast Adaptive Momentum Federated Learning.

Abdoul Fatakhou Ba, Yingchi Mao, Hamza Djigal, Abdullahi Uwaisu Muhammad, Evans Baidoo

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

2023

An autoencoder-based stacked LSTM transfer learning model for EC forecasting.

Abdullahi Uwaisu Muhammad, Hamza Djigal, Tasiu Muazu, Jibril Muhammad Adam, Abdoul Fatakhou Ba, Umar Sani Dabai, Sani Tijjani, Muhammad Sabo Yahaya, Aliyu Ashiru, Umar Muhammad Mustapha Kumshe, Saddam Aliyu, Faruwa Ajibola Richard

Earth Sci. Informatics, December, 2023

Transfer learning for streamflow forecasting using unguaged MOPEX basins data set.

Abdullahi Uwaisu Muhammad, Sani Isah Abba

Earth Sci. Informatics, June, 2023

Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey.

Jibril Muhammad Adam, Weiquan Liu, Yu Zang, Muhammad Kamran Afzal, Saifullahi Aminu Bello, Abdullahi Uwaisu Muhammad, Cheng Wang, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2023

2019

Artificial Intelligence Approaches for Urban Water Demand Forecasting: A Review.

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019

Using LSTM GRU and Hybrid Models for Streamflow Forecasting.

Abdullahi Uwaisu Muhammad, Xiaodong Li, Jun Feng

Proceedings of the Machine Learning and Intelligent Communications, 2019