◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

K. Mestav

4 papers hereh-index 6278 citations12 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.LG1
  • eess.SP1
  • eess.SY1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedBayesian State Estimation for Unobservable Distribution Systems via Deep Learning

11 citations · 13 across the 4 of their papers we have counts for

collaborators
Showing eess.SYShow all

1 paper · 1 filter

eess.SY2020★ 2 cited

A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems

Kursat Rasim Mestav, Xinyi Wang, Lang Tong

A deep learning approach is proposed to detect data and system anomalies using high-resolution continuous point-on-wave (CPOW) or phasor measurements. Both the anomaly and anomaly-…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.