Oyeniyi Akeem Alimi

Electrical and Electronic Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oyeniyi Akeem Alimi trusts overall

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

  1. Shree Krishna Sharma
  2. Xianbin Wang
  3. Sukumar Mishra
  4. Shouxiang Wang

Papers from Oyeniyi Akeem Alimi's perspective

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

  1. Review on the research and practice of deep learning and reinforcement learning in smart grids (CSEE Journal of Power and Energy Systems)
  2. False Data Injection on State Estimation in Power Systems—Attacks, Impacts, and Defense: A Survey (IEEE Transactions on Industrial Informatics)
  3. Intelligent Time-Adaptive Transient Stability Assessment System (IEEE Transactions on Power Systems)
  4. Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks (IEEE transactions on industrial electronics (1982. Print))
  5. Application of fractional Fourier transform for classification of power quality disturbances
  6. Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (IEEE Communications Surveys and Tutorials)
  7. A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network (Applied Energy)
  8. Decision Tree-Based Online Voltage Security Assessment Using PMU Measurements
  9. System
  10. Empirical-Mode Decomposition With Hilbert Transform for Power-Quality Assessment (IEEE Transactions on Power Delivery)

Their papers