Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,651 to 2,660 of 202,598 articles

Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018

arXiv Jun 4, 2026
Digital infrastructure is growing at a rapid pace in the United States, and as a result, exposure to advanced cyber threats to critical sectors including healthcare, finance, transportation, energy and government systems is growing. The traditional c... read more 
Cryptography and Security cs.LG

TextWand: A Unified Framework for Scene Text Editing

arXiv Jun 4, 2026
We propose TextWand, a general-purpose framework that unifies scene text removal, generation, and replacement into a single model. By decomposing complex editing tasks into the atomic primitives of rendering and erasure, TextWand achieves precise con... read more 
Computer Vision and Pattern Recognition

Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models

arXiv Jun 4, 2026
Diffusion-based vision-language-action (VLA) models often inherit the image-generation view: actions are generated by iterative denoising. We argue that VLA action generation has a different condition-target structure: the policy is conditioned on ri... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.RO

Class-Specific Branch Attention for Mitigating Gradient Interference under Class Imbalance

arXiv Jun 4, 2026
Deep neural networks trained under severe class imbalance often exhibit degraded performance, typically attributed to statistical bias. In this work, we identify a complementary optimization-level pathology: inter-class gradient interference within s... read more 
Artificial Intelligence

Physics-Guided Deep Unfolding for Blind Cross-Sensor Spectral Super-Resolution via Learning the Spectral Transformation Function

arXiv Jun 4, 2026
Hyperspectral imaging provides rich spectral information for quantitative remote sensing, yet hyperspectral sensors remain costly and thus unavailable in many UAV deployments. Spectral super-resolution (SSR) seeks to reconstruct hyperspectral images ... read more 
Computer Vision and Pattern Recognition

ExpSpeech-Net: Multimodal Fusion of Expression and Speech for Deepfake Detection

arXiv Jun 4, 2026
Deepfake videos are increasingly challenging the credibility of online content. Many existing detection methodology relies on complex, resource-intensive models, which limit their practical use. The study introduces the ExpSpeech-Net deepfake detecti... read more 
Computer Vision and Pattern Recognition

Beyond Absolute Scores: Relative Edit-induced Difference for Generalizable Image Aesthetic Assessment

arXiv Jun 4, 2026
Traditional Image Aesthetic Assessment (IAA) methods mainly rely on regressing absolute Mean Opinion Scores (MOS). However, such a paradigm overlooks the inherently dynamic nature of human aesthetic perception, which relies on subconscious comparison... read more 
Computer Vision and Pattern Recognition

Robust and sparse support vector machine via hybrid truncated loss for supervised classification

arXiv Jun 4, 2026
The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares loss are sensitive to outliers, while bounded non-convex losses often le... read more 
Machine Learning

Emotion-Aware Image Generation from Korean Diary Text via LLM-based Prompt Translation and LoRA Fine-Tuning

arXiv Jun 4, 2026
T2I models cannot effectively capture sentiment from various types of text, including diaries, as they primarily focus on visual object-related patterns rather than contextual emotional understanding. This paper proposes an emotion-aware text-to-imag... read more 
Computer Vision and Pattern Recognition cs.AI

Consistency Training Along the Transformer Stack

arXiv Jun 4, 2026
Consistency training encourages models to behave similarly across different contexts, and has shown promise for reducing misalignment. We broaden the scope of consistency training in two ways. First, we introduce two new internal consistency targets:... read more 
Machine Learning cs.AI
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