Uzoma Rita Alo

According to our database, Uzoma Rita Alo authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Recently emerging trends in big data analytic methods for modeling and combating climate change effects.

Anayo Chukwu Ikegwu, Henry Friday Nweke, Emmanuel O. C. Mkpojiogu, Chioma Virginia Anikwe, Sylvester Agbo Igwe, Uzoma Rita Alo

Energy Inform., December, 2024

2023

Webussd Care: a Multi-Tenant USSD based Application for Improving Protected Health Information Exchange.

Michael Sunday Julius, Sylvanus Olufemi Ige, Guzorochi Chimdire Abanobi, Uzoma Rita Alo, Fergus Uchenna Onu, Kingsley M. Okorie

Proceedings of the 2023 6th International Conference on Software Engineering and Information Management, 2023

2022

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions.

Uzoma Rita Alo, Friday Onwe Nkwo, Henry Friday Nweke, Ifeanyi Isaiah Achi, Henry Anayo Okemiri

Sensors, 2022

Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect.

Chioma Virginia Anikwe, Henry Friday Nweke, Anayo Chukwu Ikegwu, Chukwunonso Adolphus Egwuonwu, Fergus Uchenna Onu, Uzoma Rita Alo, Ying Wah Teh

Expert Syst. Appl., 2022

Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions.

Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe, Uzoma Rita Alo, Obikwelu Raphael Okonkwo

Clust. Comput., 2022

CloudPES: Cloud Portal of Educational Services for Higher Education Institutions in Nigeria.

Uzoma Rita Alo, Michael Sunday Julius, Fergus Uchenna Onu, Henry Anayo Okemiri, Nneka Richard-Nnabu, Kingsley M. Okorie

Proceedings of the 2022 6th International Conference on Education and E-Learning, 2022

2021

Machine Learning Framework to Predict Patient Non-Adherence to Medication using Non-Clinical Data: A Prognosis Approach.

Michael Sunday Julius, Uzoma Rita Alo, Fergus Uchenna Onu, Chinyere Ihuoma Akobundu

Proceedings of the ICCCM 2021: 9th International Conference on Computer and Communications Management, Singapore, July 16, 2021

2020

Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System.

Uzoma Rita Alo, Henry Friday Nweke, Ying Wah Teh, Ghulam Murtaza

Sensors, 2020

2019

Multi-sensor fusion based on multiple classifier systems for human activity identification.

Henry Friday Nweke, Ying Wah Teh, Ghulam Mujtaba, Uzoma Rita Alo, Mohammed Ali Al-garadi

Hum. centric Comput. Inf. Sci., 2019

2018

Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges.

Henry Friday Nweke, Ying Wah Teh, Mohammed Ali Al-garadi, Uzoma Rita Alo

Expert Syst. Appl., 2018

Analysis of Multi-Sensor Fusion for Mobile and Wearable Sensor Based Human Activity Recognition.

Henry Friday Nweke, Ying Wah Teh, Uzoma Rita Alo, Ghulam Mujtaba

Proceedings of the International Conference on Data Processing and Applications, 2018