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M. Amo-Boateng

4 papers hereh-index 15540 citations43 works total

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

author position
  • sole author1
  • middle author2
  • last author1

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

fields
  • cs.CV2
  • cs.DC2

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedPaveSAM Segment Anything for Pavement Distress

20 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 20 cited

PaveSAM Segment Anything for Pavement Distress

Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah +1

Automated pavement monitoring using computer vision can analyze pavement conditions more efficiently and accurately than manual methods. Accurate segmentation is essential for quan…

cs.CV2023

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation

Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor +2

Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies…

cs.DC2023★ 1 cited

Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs

Abdul Rashid Mussah, Maged Shoman, Mark Amo-Boateng +1

Real-time traffic and sensor data from connected vehicles have the potential to provide insights that will lead to the immediate benefit of efficient management of the transportati…

cs.DC2017

Super-speeds with Zero-RAM: Next Generation Large-Scale Optimization in Your Laptop!

Mark Amo-Boateng

This article presents the novel breakthrough general purpose algorithm for large scale optimization problems. The novel algorithm is capable of achieving breakthrough speeds for ve…

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