Results 81 to 90 of about 10,164 (194)

Hear Me Out: A Lesson in Civil Discourse

Journal of Legal Studies Education, Volume 43, Issue 1, Page 7-30, Winter 2026.
Abstract This article describes an innovative and engaging lecture and class exercise designed to teach students how to think critically about issues from different perspectives and communicate effectively with those who disagree with them. The interactive lecture and class exercise introduce a civil discourse framework to encourage constructive ...
Cheryl L. Black
wiley   +1 more source

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection

Applied AI Letters, Volume 7, Issue 2, June 2026.
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang, Alberto Acuto, Yihang Zhou, Dominik Wojtczak   +3 more
wiley   +1 more source

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

Unsupervised Contrastive Hashing With Autoencoder Semantic Similarity for Cross-Modal Retrieval in Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In large-scale multimodal remote sensing data archives, the application of cross-modal technology to achieve fast retrieval between different modalities has attracted great attention.
Na Liu, Guodong Wu, Yonggui Huang, Xi Chen, Qingdu Li, Lihong Wan   +5 more
doaj   +1 more source

Deep Center Supervised Hash for Fast Image Retrieval

DEStech Transactions on Computer Science and Engineering, 2017
With the rapid growth of image data, the current mainstream image retrieval method uses the handcraft visual feature coding, which lack of learning ability, resulting in its image expression is not strong, and the large visual feature dimension which seriously restricting its image retrieval performance.
MINGMU CHEN, JING FAN, JINSHUAI QU, LANLAN ZHANG, YUEPING LI   +4 more
openaire   +2 more sources

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

GSPH: Granularity-guided Saturation Proxy Hashing with Self-adaptive Feature Importance for image retrieval

Alexandria Engineering Journal
Deep supervised hashing, learning compact binary codes under label supervision through deep neural networks, is mainstream for large-scale image retrieval. However, existing methods still face two limitations.
Richen Huang, Wenhua Zhou, Li Li, Jiyang Ye, Xiaolong Chen, Shuhua Peng   +5 more
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

Deep Distillation Hashing for Palmprint and Finger Vein Retrieval

IET Biometrics
With the increasing application of biometric recognition technology in daily life, the number of registered users is rapidly growing, making fast retrieval techniques increasingly important for biometric recognition.
Chenlong Liu, Lu Yang, Wen Zhou, Yuan Li, Fanchang Hao   +4 more
doaj   +1 more source