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Noise Robustness in Deep Learning Additive and Multiplicative Noise
Presentation of Muhammad's research on Biologically Inspired Methods for Adversarially Robust De...
Face recognition is one of the most unobtrusive biometric techniques that can be used for access con...
Data augmentation is a powerful strategy used to enhance the quality and quantity of training datase...
This project addresses the robot localization problem through the implementation of the Extended Kal...
Blind channel equalization (BCE) has been widely used in underwater communications due to its strong...
This study introduces a modified electro-optical modulator (EOM) to enhance bipolar optical code div...
Accurate channel quality indicator (CQI) estimation is crucial for optimizing resource allocation, i...
Enhancing_AI_Resilience_in_CPS
CMOS (Complementary Metal-Oxide-Semiconductor) is a widely used digital logic technology that employ...
Wavelets,sub and coding, multi-resolution expansions.
ANALYTICAL METHOD VALIDATION AND ITS COMPONENTS AND PARAMETERS TO BE PERFORMED
Thanh Nguyen Cong - Robustness of Deep learning models
Analytical method validation is a process of documenting/ proving that an analytical method provides...
#HPTLC #TLC #thinlayerchromatography #chromatography #HPTLCAPPLICATION #CAMAG #Anchrom #instrumentat...
ICH Q2R1 guideline of analytical method development and validation
Computer Vision
EC STUDENT
This presentation summarize a small part of following paper that focus on challenges of AI. (Saghir...
validation
It's about Islanding effect. Electrical engineering major project.
This slide gives brief knowledge of cellular neural network
seminar ppt on crypto watermarking
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