Results 81 to 90 of about 1,457 (180)

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen, Chenhe Du, Xiao Wang, Yuyao Zhang   +3 more
wiley   +1 more source

Accelerating Multiparametric Quantitative MRI Using Self‐Supervised Scan‐Specific Implicit Neural Representation With Model Reinforcement

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2963-2979, May 2026.
ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng, Albert Jang, Xingxin He, Fang Liu   +3 more
wiley   +1 more source

Centripetal Intensive Deep Hashing for Remote Sensing Image Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the breakthrough of convolutional neural networks, deep hashing methods have demonstrated remarkable performance in large-scale image retrieval tasks.
Weigang Wang, Zhongwen Guo, Ziyuan Cui, Hailei Zhao, Lintao Xian   +4 more
doaj   +1 more source

Fabric image retrieval based on decoupling of texture and color feature

Journal of Engineered Fibers and Fabrics
Fabric image retrieval, a form of content based image retrieval, is a high value research with the potential to be applied in many fields, such as e-commerce and inventory management.
Menglei Wang, Jingan Wang, Ning Zhang, Jun Xiang, Weidong Gao   +4 more
doaj   +1 more source

FocoNet: Transformer‐Based Focal‐Mechanism Determination

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Traditional focal‐mechanism determination primarily relies on fitting the first‐motion polarities with grid‐search algorithms. We developed a machine‐learning model, FocoNet, to include more seismic information into focal mechanism determination.
Xiaohan Song, Men‐Andrin Meier, William L. Ellsworth, Gregory C. Beroza   +3 more
wiley   +1 more source

Semi-supervised Cross-modal Hashing Method for Semantic Alignment Networks Basedon GAN [PDF]

Jisuanji kexue
Supervised methods have achieved a lot of results in cross-modal retrieval and have become popular methods.How-ever,these methods rely too much on labeled data and do not make full use of the rich information contained in unlabeled data.To solve this ...
LIU Huayong, ZHU Ting
doaj   +1 more source

Artificial intelligence for web development: Perspectives from the industry

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract As a field, web development is roughly 30 years old, and during this period, it has been transformed several times already as it has moved from static websites to dynamic web applications. Now, with the introduction of Artificial Intelligence (AI), the field is again at the cusp of a transformation as the latest AI tools might change how to ...
Pyry Pohjalainen, Juho Vepsäläinen
wiley   +1 more source

Multimodal AI teacher: Integrating edge computing and reasoning models for enhanced student error analysis

AI Magazine, Volume 47, Issue 1, Spring 2026.
Abstract Students frequently make mistakes while solving mathematical problems, and traditional error correction methods are both time‐consuming and labor‐intensive. This paper introduces an innovative Virtual AI Teacher system (VATE) designed to autonomously analyze and correct student Errors.
Tianlong Xu, Yi‐Fan Zhang, Zhendong Chu, Qingsong Wen   +3 more
wiley   +1 more source

Large-Scale Remote Sensing Image Retrieval Based on Semi-Supervised Adversarial Hashing

Remote Sensing, 2019
Remote sensing image retrieval (RSIR), a superior content organization technique, plays an important role in the remote sensing (RS) community. With the number of RS images increases explosively, not only the retrieval precision but also the retrieval ...
Xu Tang, Chao Liu, Jingjing Ma, Xiangrong Zhang, Fang Liu, Licheng Jiao   +5 more
doaj   +1 more source

Compression‐Tension‐Asymmetry and Stiffness Nonlinearity of Collagen‐Matrigel Composite Hydrogels

Advanced Healthcare Materials, Volume 15, Issue 9, 6 March 2026.
Self‐assembled collagen hydrogel matrices are widely used in tissue engineering applications. These matrices stiffen and contract laterally under tension due to fiber alignment and soften and collapse under compression due to fiber buckling. It is demonstrated that filler materials, such as Matrigel, linearize the mechanical behavior of collagen ...
David Böhringer, Jan Hinrichsen, Radik Gataulin, Sandra Wiedenmann, Marina Spörrer, Selda Sherifova, Paul Steinmann, Gerhard A. Holzapfel, Ben Fabry, Silvia Budday   +9 more
wiley   +1 more source