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researcher

David Haddad

2 papers hereh-index 2273 citations5 works total

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

author position
  • middle author2

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

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedA Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

3 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2022★ 3 cited

Predictive Modeling of Charge Levels for Battery Electric Vehicles using CNN EfficientNet and IGTD Algorithm

Seongwoo Choi, Chongzhou Fang, David Haddad +1

Convolutional Neural Networks (CNN) have been a good solution for understanding a vast image dataset. As the increased number of battery-equipped electric vehicles is flourishing g…

cs.CV2022★ 3 cited

A Deep Learning Technique using a Sequence of Follow Up X-Rays for Disease classification

Sairamvinay Vijayaraghavan, David Haddad, Shikun Huang +1

The ability to predict lung and heart based diseases using deep learning techniques is central to many researchers, particularly in the medical field around the world. In this pape…

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