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UID:eventsphere-60091@www.knowafest.com
DTSTAMP:20261008T183354Z
DTSTART:20230423T183000Z
DTEND:20230426T182959Z
SUMMARY:3 Days Workshop on An insight into Biometrics along with EEG for Di
 gital Forensics using Machine Learning and Deep Learning 2023
LOCATION:Dr Mahalingam College of Engineering and Technology\, Pollachi
DESCRIPTION:<p>The proposed three days workshop comprises lectures followed
  by demonstrations and hands-on sessions. The workshop also covers essenti
 als of machine learning\, deep learning algorithms and frameworks as well 
 as the other models that can be applied to solve research problems in digi
 tal forensics using biometrics and EEG. A fundamental verification process
  known as biometrics uses a person's physiological and behavioural charact
 eristics to identify them. These biometric extensions can be quickly seen 
 in a variety of forensic identification contexts\, such as face\, fingerpr
 int\, iris\, EEG\, voice\, handwriting\, gait\, DNA\, etc. To improve iden
 tification performance requirements\, multimodal biometrics enables the co
 mbination of two or more biometric recognition and verification systems. A
  wide range of applications for physical and cybercrime detection are now 
 possible because of the development in forensic biometrics. As a result\, 
 due to their direct impact on resolving several societal issues as well as
  their status as the most active research topics\, forensics and biometric
 s are both regarded as emerging technologies. Electroencephalogram (EEG)-b
 ased biometrics have attracted increasing attention in recent years. EEG o
 ffers advantages including robustness against attacks\, continuous identif
 ication capability\, intrinsic liveness detection\, and universality. Vari
 ous Deep learning Architectures are embedded in this workshop to built new
  frameworks.</p>
URL:https://www.knowafest.com/3-days-workshop-on-an-insight-into-biometrics
 -along-with-eeg-for-digital-forensics-using-machine-learning-and-deep-lear
 ning-2023
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