ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2304.02099
  4. Cited By
Coarse Grained FLS-based Processor with Prognostic Malfunction Feature
  for UAM Drones using FPGA

Coarse Grained FLS-based Processor with Prognostic Malfunction Feature for UAM Drones using FPGA

4 April 2023
Hossam O. Ahmed
ArXiv (abs)PDFHTML

Papers citing "Coarse Grained FLS-based Processor with Prognostic Malfunction Feature for UAM Drones using FPGA"

2 / 2 papers shown
Title
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
A 64mW DNN-based Visual Navigation Engine for Autonomous Nano-Drones
Daniele Palossi
Antonio Loquercio
Francesco Conti
Eric Flamand
Davide Scaramuzza
Luca Benini
221
158
0
04 May 2018
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance
  Hexacopter Altitude Control System
A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System
Md Meftahul Ferdaus
Mahardhika Pratama
S. Anavatti
Matthew A. Garratt
20
28
0
04 May 2018
1