Vector Quantization based Speech Recognition Performance Improvement using Maximum Log Likelihood in Gaussian Distribution [PDF]
, 2018 Kyungyong Chung, Sang Yeob Oh
openalex +1 more source
Advanced Intelligent Systems, EarlyView.Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
Advanced Intelligent Systems, EarlyView.CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array
Advanced Intelligent Systems, EarlyView.Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley +1 more source
An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network. [PDF]
Cogn Neurodyn, 2023 De A, Wang X, Zhang Q, Wu J, Cong F.
europepmc +1 more source
Vector Quantization Methods for Access Point Placement in Cell-Free Massive MIMO Systems [PDF]
, 2022 Govind R. Gopal, Bhaskar D. Rao
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Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Self-incremental learning vector quantization with human cognitive biases. [PDF]
Sci Rep, 2021 Manome N +4 more
europepmc +1 more source
A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech [PDF]
, 2023 Liwei Chen +2 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.A 48 × 48 ferroelectric tunnel junction (FTJ) crossbar array is fabricated and optimized through postmetallization annealing, enabling stable polarization switching and reliable multilevel conductance programming. Half‐bias operation, accurate vector–matrix multiplication with less than 1% error, and CIFAR‐10 image classification with near‐software ...
Sangwook Youn, Hwiho Hwang, Hyungjin Kim
wiley +1 more source