Michael Zeifman

Electrical and Electronic Engineering · 2011

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Zeifman trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. H. Lam
  2. Dipti Srinivasan
  3. Shwetak N. Patel
  4. Matthew S. Reynolds
  5. G. Fung
  6. W. S. Ng
  7. Simon K. K. Ng
  8. W.K. Lee
  9. A. Liew

Who trusts Michael Zeifman overall

  1. Christian Beckel
  2. Ahmed Zoha
  3. Oliver Parson
  4. K. Armel
  5. J. Kolter
  6. Alexander D. Gluhak
  7. Siddhartha Ghosh
  8. Abhay Gupta
  9. Wilhelm Kleiminger
  10. Matthew J. Johnson

Papers from Michael Zeifman's perspective

Ordered by how strongly the researchers Michael Zeifman trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Novel Method to Construct Taxonomy Electrical Appliances Based on Load Signaturesof (IEEE transactions on consumer electronics)
  2. ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home (Ubiquitous Computing)
  3. At the Flick of a Switch: Detecting and Classifying Unique Electrical Events on the Residential Power Line (Nominated for the Best Paper Award) (Ubiquitous Computing)
  4. Neural-network-based signature recognition for harmonic source identification (IEEE Transactions on Power Delivery)
  5. Load Signature Study—Part I: Basic Concept, Structure, and Methodology (IEEE Transactions on Power Delivery)
  6. Engine fault diagnosis based on multi-sensor information fusion using Dempster-Shafer evidence theory (Information Fusion)
  7. Power System Quality Assessment
  8. Shape Analysis and Classification: Theory and Practice
  9. Review of shape representation and description techniques (Pattern Recognition)
  10. Neural Networks: A Comprehensive Foundation

Their papers