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researcher

S. Alam

4 papers hereh-index 292.3k citations153 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV1
same name
  • S. Alam — 80 papers, h 37
  • S. Alam — 55 papers, h 58
  • S. Alam — 27 papers, h 7
  • S. Alam — 25 papers, h 14
  • S. Alam — 18 papers, h 15
  • S. Alam — 10 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn Incremental Clustering Method for Anomaly Detection in Flight Data

55 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 3 cited

Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences

An-Dan Nguyen, Duc-Thinh Pham, Nimrod Lilith +1

General real-time runway occupancy time prediction modelling for multiple airports is a current research gap. An attempt to generalize a real-time prediction model for Arrival Runw…

cs.LG2020

A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters

Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim +1

Approach and landing accidents have resulted in a significant number of hull losses worldwide. Technologies (e.g., instrument landing system) and procedures (e.g., stabilized appro…

cs.CV2020★ 18 cited

Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance

Phat Thai, Sameer Alam, Nimrod Lilith +2

An airport runway and taxiway (airside) area is a highly dynamic and complex environment featuring interactions between different types of vehicles (speed and dimension), under var…

cs.LG2020★ 55 cited

An Incremental Clustering Method for Anomaly Detection in Flight Data

Weizun Zhao, Lishuai Li, Sameer Alam +1

Safety is a top priority for civil aviation. New anomaly detection methods, primarily clustering methods, have been developed to monitor pilot operations and detect any risks from…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.