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PHYLOGENETIC REPLAY LEARNING IN DEEP NEURAL NETWORKS

(Received: 31-Jan.-2022, Revised: 18-Apr.-2022 , Accepted: 22-Apr.-2022 )
Jean-Patrice Glafkides,Gene I. Sher,Herman Akdag
#Neural networks #Neuroevolution #Phylogenetic replay learning #Deep learning #Vanishing gradient
  • Views: 2700
  • Downloads: 588
  • DOI: 10.5455/jjcit.71-1643583878
  • Cited by: 2
Abstract

AN IN-DEPTH VISION TO HARDWARE DESIGN SECURITY VULNERABILITIES

(Received: 29-Oct.-2021, Revised: 20-Dec.-2021 , Accepted: 11-Jan.-2022)
Zainab Younis,Basim Mahmood
#Complex networks #CWE vulnerabilities #Data analysis #Hardware vulnerabilities
  • Views: 2547
  • Downloads: 618
  • DOI: 10.5455/jjcit.71-1635517841
  • Cited by: 1
Abstract

IMPROVED DEEP LEARNING ARCHITECTURE FOR DEPTH ESTIMATION FROM SINGLE IMAGE

(Received: 28-Jun.-2020, Revised: 3-Aug.-2020 and 20-Sep.-2020 , Accepted: 27-Sep.-2020)
Suhaila F. A. Abuowaida,Huah Yong Chan
#Depth estimation #Single image #Deep learning #Encoder-decoder
  • Views: 4400
  • Downloads: 1201
  • DOI: 10.5455/jjcit.71-1593368945
  • Cited by: 10
Abstract

AN ENERGY-EFFICIENT QUALITY OF SERVICE (QOS) PARAMETER-BASED VOID AVOIDANCE ROUTING TECHNIQUE FOR UNDERWATER SENSOR NETWORKS

(Received: 2019-07-12, Revised: 16-Sep.-2019 and 21-Sep.-2019 , Accepted: 2019-10-08)
Kamal Kumar Gola,Bhumika Gupta
#Void avoidance #Sensors #Coverage #Connectivity #Surface station #Holding time #Quality of Service (QoS) parameters.
  • Views: 3864
  • Downloads: 1058
  • DOI: 10.5455/jjcit.71-1562930035
  • Cited by: 15
Abstract
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