Results 51 to 60 of about 155,604 (315)
Mobile malware detection method using improved GhostNetV2 with image enhancement technique
In recent years, image-based feature extraction and deep learning classification methods are widely used in the field of malware detection, which helps improve the efficiency of automatic malicious feature extraction and enhances the overall performance ...
Yao Du +5 more
doaj +1 more source
Unexpected interest recommender system with graph neural network
Traditional recommender systems often face the filter bubble problem when they focus on recommending familiar items to users. The over-specialized recommended contents will make users bored.
Hongbin Xia, Kai Huang, Yuan Liu
doaj +1 more source
AIR5 : five pillars of artificial intelligence research
In this paper, we provide an overview of what we consider to be some of the most pressing research questions currently facing the fields of artificial and computational intelligence (AI and CI).
Gupta, Abhishek, Ong, Yew-Soon
core +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain with differing data distributions.
Weibin Luo +5 more
doaj +1 more source
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley +1 more source
SHC: soft-hard correspondences framework for simplifying point cloud registration
Point cloud registration is a multifaceted problem that involves a series of procedures. Many deep learning methods employ complex structured networks to achieve robust registration performance.
Zhaoxiang Chen +5 more
doaj +1 more source
Dual Attention Network for Unsupervised Domain Adaptive Person Re-Identification
Clustering-based unsupervised domain adaptive person re-identification methods reduce much of the annotation cost. However, many pseudo-labels with inaccurate labels are produced when fine-tuning the target domain as a result of the shortcomings of the ...
Haiqin Chen +3 more
doaj +1 more source
Incremental algorithms for sampling dynamic graphs
10.1007/978-3-642-40285-2_29Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)8055 LNCSPART 1327 ...
Lu, X. +8 more
core +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source

