James Adu Ansere
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Memorial University of Newfoundland, Sunyani Technical 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
- 0000-0002-6070-9316
- OpenAlex ID
- A5090435718as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 10
A Neighborhood Grid Clustering Algorithm for Solving Localization Problem in WSN Using Genetic Algorithm,
A Synergetic Trust Model Based on SVM in Underwater Acoustic Sensor Networks,
Energy Efficient Clustering Based Routing Technique in WSN using Brain Storm Optimization,
Energy-Efficient Joint Power Allocation and User Selection Algorithm for Data Transmission in Internet-of-Things Networks,
Energy-Efficient Optimization for Mobile Edge Computing With Quantum Machine Learning,
Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems With Deep Reinforcement Learning,
Quantum Deep Reinforcement Learning for 6G Mobile Edge Computing-based IoT Systems,
Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-Based IoT Systems
+2 more
← Authored by 10
A Neighborhood Grid Clustering Algorithm for Solving Localization Problem in WSN Using Genetic Algorithm,
A Synergetic Trust Model Based on SVM in Underwater Acoustic Sensor Networks,
Energy Efficient Clustering Based Routing Technique in WSN using Brain Storm Optimization,
Energy-Efficient Joint Power Allocation and User Selection Algorithm for Data Transmission in Internet-of-Things Networks,
Energy-Efficient Optimization for Mobile Edge Computing With Quantum Machine Learning,
Optimal Computation Resource Allocation in Energy-Efficient Edge IoT Systems With Deep Reinforcement Learning,
Quantum Deep Reinforcement Learning for 6G Mobile Edge Computing-based IoT Systems,
Quantum Deep Reinforcement Learning for Dynamic Resource Allocation in Mobile Edge Computing-Based IoT Systems
+2 more
Affiliated with 2
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Summary
James Adu Ansere is a human[1].