Mohammad Al-Zinati
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- University of Jordan, Jordan University of Science and Technology, Al Ain Universityas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-2221-5515
- OpenAlex ID
- A5038082238as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
A Comparison of Unidirectional and Bidirectional LSTM Networks for Human Activity Recognition,
An agent-Based self-organizing model for large-scale biosurveillance systems using mobile edge computing,
A re-organizing biosurveillance framework based on fog and mobile edge computing,
Bidirectional Gated Recurrent Units For Human Activity Recognition Using Accelerometer Data,
Enabling multiple health security threats detection using mobile edge computing,
Enhancing human activity recognition using deep learning and time series augmented data,
MATISSE 2.0: A Large-Scale Multi-agent Simulation System for Agent-Based ITS,
User identification using deep learning and human activity mobile sensor data
← Authored by 8
A Comparison of Unidirectional and Bidirectional LSTM Networks for Human Activity Recognition,
An agent-Based self-organizing model for large-scale biosurveillance systems using mobile edge computing,
A re-organizing biosurveillance framework based on fog and mobile edge computing,
Bidirectional Gated Recurrent Units For Human Activity Recognition Using Accelerometer Data,
Enabling multiple health security threats detection using mobile edge computing,
Enhancing human activity recognition using deep learning and time series augmented data,
MATISSE 2.0: A Large-Scale Multi-agent Simulation System for Agent-Based ITS,
User identification using deep learning and human activity mobile sensor data
Affiliated with 2
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Summary
Mohammad Al-Zinati is a human[1].