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researcher

S. Akselsen

2 papers hereh-index 10544 citations40 works total

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

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.NI2

identity via Semantic Scholar / OpenAlex

most citedBlind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2026

Evaluating 5G-connected IoT for Power Line Temperature Prediction: Real-World Latency and Cost Trade-offs Between MEC and Cloud

Aakash Sharma, Sigmund Akselsen, Anders Andersen +2

One of the key promises of Mobile Edge Computing (MEC) is its low latency. Current large-scale IoT deployments rely on cloud for their reliability, low cost, and ease of use. For o…

cs.NI2021★ 4 cited

Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks

Tiago Veiga, Erling Ljunggren, Kerstin Bach +1

Temporal drift of low-cost sensors is crucial for the applicability of wireless sensor networks (WSN) to measure highly local phenomenon such as air quality. The emergence of wirel…

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