Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Muhammad Salman is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 9 Finished
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Development of Novel Machine Learning Methods for Human Safety and Data Security
Salman, M. (PI)
1/01/22 → 31/12/22
Project: Research
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Optimalisasi Pemasaran Produk melalui Digital Marketing bagi UMKM Desa
Salman, M. (PI)
22/05/20 → 31/12/20
Project: Community Engagement
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Program Edukasi Literasi Internet Ramah Anak dalam Menjamin Proses Tumbuh Kembang yang Baik
Salman, M. (PI)
22/05/20 → 31/12/20
Project: Community Engagement
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Pengembangan Portabilitas Model Deteksi Ancaman dan Keamanan Internet untuk Jaringan Skala Kecil Menengah (SME Network)
Salman, M. (PI)
20/04/20 → 30/09/21
Project: Research
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A prognostic model for use before elective surgery to estimate the risk of postoperative pulmonary complications (GSU-Pulmonary Score): a development and validation study in three international cohorts
NIHR Global Health Research Unit on Global Surgery & STARSurg Collaborative, Jul 2024, In: The Lancet Digital Health. 6, 7, p. e507-e519Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Collaborative Botnet Detection in Heterogeneous Devices of Internet of Things using Federated Deep Learning
Wardana, A. A., Sukarno, P. & Salman, M., 1 Feb 2024, ICSCA 2024 - 2024 13th International Conference on Software and Computer Applications. Association for Computing Machinery, p. 287-291 5 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A New ECG Data Processing Approach to Developing an Accurate Driving Fatigue Detection Framework with Heart Rate Variability Analysis and Ensemble Learning
Halomoan, J., Ramli, K., Sudiana, D., Gunawan, T. S. & Salman, M., Apr 2023, In: Information (Switzerland). 14, 4, 210.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
A Review of Recent Trends in Blockchain Consensus Algorithms: Artificial Intelligence-Based Approaches
Windiatmaja, J. H., Salman, M. & Sari, R. F., 2023, Proceedings - 2023 28th Asia Pacific Conference on Communications, APCC 2023. Le, K. N. & Bao, V. N. Q. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 335-341 7 p. (Proceedings - 2023 28th Asia Pacific Conference on Communications, APCC 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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BN-GEPSO: Learning Bayesian Network Structure Using Generalized Particle Swarm Optimization
Salman, M. S., Almanjahie, I. M., Yasin, A. U. & Cheema, A. N., 2023, In: Computers, Materials and Continua. 75, 2, p. 4217-4229 13 p.Research output: Contribution to journal › Article › peer-review
Open Access