Controllable Data Generation by Deep Learning: A Review
Designing and generating new data under targeted properties has been attracting various
critical applications such as molecule design, image editing and speech synthesis …
critical applications such as molecule design, image editing and speech synthesis …
Controllable data generation by deep learning: A review
Designing and generating new data under targeted properties has been attracting various
critical applications such as molecule design, image editing and speech synthesis …
critical applications such as molecule design, image editing and speech synthesis …
Adjusting learning rate of memristor-based multilayer neural networks via fuzzy method
Back propagation (BP) based on stochastic gradient descent is the prevailing method to
train multilayer neural networks (MNNs) with hidden layers. However, the existence of the …
train multilayer neural networks (MNNs) with hidden layers. However, the existence of the …
Experimental demonstration of memristor-aided logic (MAGIC) using valence change memory (VCM)
Memristor-aided logic (MAGIC) is a technique for performing in-memory computing using
memristive devices. The design of a MAGIC NOR gate has been described in detail, and it …
memristive devices. The design of a MAGIC NOR gate has been described in detail, and it …
A memristor-based associative memory neural network circuit with emotion effect
C Wang, C Xu, J Sun, Q Deng - Neural Computing and Applications, 2023 - Springer
Generally, people tend to learn or recall pleasant experiences during positive feelings.
Similarly, people tend to learn or recall unpleasant things during negative feelings. The …
Similarly, people tend to learn or recall unpleasant things during negative feelings. The …
Memristive self-learning logic circuit with application to encoder and decoder
Q Hong, Z Shi, J Sun, S Du - Neural Computing and Applications, 2021 - Springer
Different logic circuits based on memristors have been extensively investigated. However,
most of these circuits require accurate initialization. A self-learning logic circuit based on …
most of these circuits require accurate initialization. A self-learning logic circuit based on …
Design and experimental evolution of memristor with only one VDTA and one capacitor
In this paper, we present a memristor emulator based on voltage difference
transconductance amplifier (VDTA). The proposed memristor emulator circuit contains only …
transconductance amplifier (VDTA). The proposed memristor emulator circuit contains only …
An electronically controllable, fully floating memristor based on active elements: DO-OTA and DVCC
In this paper, we have presented a Dual-Output Operational Transconductance Amplifier
(DO-OTA) and Differential Voltage Current Conveyor (DVCC)-based fully floating emulator …
(DO-OTA) and Differential Voltage Current Conveyor (DVCC)-based fully floating emulator …
Functionalizing the electrical properties of kombucha zoogleal mats for biosensing applications
Kombucha is a type of tea that is fermented using yeast and bacteria. During this process, a
film made of cellulose is produced. This film has unique properties such as biodegradability …
film made of cellulose is produced. This film has unique properties such as biodegradability …
Flux controlled floating memristor employing VDTA: Incremental or decremental operation
This research article offers a floating memristor model using single voltage difference
transconductance amplifier (VDTA) and grounded passive components. The proper …
transconductance amplifier (VDTA) and grounded passive components. The proper …