Results 81 to 90 of about 61,624 (324)

Large‐Scale and Highly Reliable Hopfield Neural Networks Using Vertical NAND Flash Memory for the In‐Memory Associative Computing

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, Jae Seung Woo, Suk‐Kang Sung, Ki‐Whan Song, Woo Young Choi   +4 more
wiley   +1 more source

Video data compression using artificial neural network differential vector quantization [PDF]

An artificial neural network vector quantizer is developed for use in data compression applications such as Digital Video. Differential Vector Quantization is used to preserve edge features, and a new adaptive algorithm, known as Frequency-Sensitive ...
Ahalt, Stanley C., Bibyk, Steven B., Krishnamurthy, Ashok K.   +2 more
core   +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, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

Generalized Derivative Based Kernelized Learning Vector Quantization [PDF]

, 2010
We derive a novel derivative based version of kernelized Generalized Learning Vector Quantization (KGLVQ) as an effective, easy to interpret, prototype based and kernelized classifier. It is called D-KGLVQ and we provide generalization error bounds, experimental results on real world data, showing that D-KGLVQ is competitive with KGLVQ and the SVM on ...
Schleif, Frank-Michael, Villmann, T., Hammer, Barbara, Schneider, P., Biehl, M., Fyfe, Colin, Tino, Peter, Charles, Darryl, Garcia-Osorio, Cesar, Yin, Hujun   +9 more
openaire   +3 more sources

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

OPTIMASI FUZZY LEARNING VECTOR QUANTIZATION UNTUK SISTEM PENGENALAN AROMA CAMPURAN

Jurnal Ilmu Komputer dan Informasi, 2012
Kehandalan dari sebuah sistem pengenalan aroma tidak hanya tergantung pada kemampuan perangkat sensor melainkan juga tergantung pada sistem pengenalan pola yang menggunakan jaringan syaraf tiruan. Struktur jaringan syaraf yang sederhana memiliki performa
Wisnu Jatmiko, Rochmatullah ., H. R. Sanabila   +2 more
doaj   +1 more source

Learning Vector Quantization: generalization ability and dynamics of competing prototypes

, 2007
International Workshop on Self-Organizing Maps : Proceedings, The 6th International Workshop on Self-Organizing Maps (WSOM 2007)
Witoelar, Aree, Biehl, Michael, Hammer, Barbara   +2 more
openaire   +6 more sources

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, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Diagnosa Penyakit Demam Berdarah Dengue (DBD) menggunakan Metode Learning Vector Quantization (LVQ)

JISKA (Jurnal Informatika Sunan Kalijaga), 2020
Dengue Hemorrhagic Fever is a disease that is carried and transmitted through the mosquito Aedes aegypti and Aedes albopictus which is commonly found in tropical and subtropical regions such as in Indonesia to Northern Australia.
Firman Tawakal, Ahmedika Azkiya
doaj   +1 more source

Ferroelectric Tunnel Junction Memristor Crossbar Array with Annealing Optimization for In‐Memory Computing

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