Results 71 to 80 of about 48,579 (315)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Medical inter-modality volume-to-volume translation
Journal of King Saud University: Computer and Information Sciences, 2023 Many clinical works require medical inter-modality imaging results since the supplementary imaging information from different modalities can be combined to provide better decision-making.
Jinjin Chen, Yongjian Huai, Ji Ma
doaj +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
An Incremental Algorithm for Concept Lattice Based on SSIM [PDF]
, 2021 Yu Hu +5 more
openalex +1 more source
, 2017 We propose a method for lossy image compression based on recurrent, convolutional neural networks that outperforms BPG (4:2:0 ), WebP, JPEG2000, and JPEG as measured by MS-SSIM.
Chinen, Troy +8 more
core +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Reversible Data Hiding Based on Structural Similarity Block Selection
IEEE Access, 2020 Reversible data hiding (RDH) methods are widely used in many privacy-sensitive real-time applications for digital images. As an efficient RDH method, prediction-error histogram (PEH) shifting technique has found wide application for its high efficiency ...
Kehao Wang +5 more
doaj +1 more source
Similarity Algorithm of Spatio-temporal Data Based on Trend Surface and SSIM [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem of spatio-temporal data similarity evaluation with fixed spatial position and trend of attribute value trend,based on the Biharmonic spline to establish the trend surface,a new spatio-temporal data similarity algorithm is proposed ...
LI Jianxun,TONG Rui,ZHANG Yongjin,TANG Zihao
doaj +1 more source
Deep Multiple Description Coding by Learning Scalar Quantization
, 2019 In this paper, we propose a deep multiple description coding framework, whose quantizers are adaptively learned via the minimization of multiple description compressive loss. Firstly, our framework is built upon auto-encoder networks, which have multiple
Bai, Huihui +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source