Artificial Intelligence Medical Compendium

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

Showing 22,661 to 22,670 of 216,842 articles

Detection of internet of things network attacks by hybrid deep learning (CNN-LSTM) algorithm to enhance security.

Scientific reports May 5, 2026
The quick expansion of Internet of Things (IoT) devices has presented new cybersecurity challenges, with botnet attacks posing noteworthy threats to network stability and data integrity. This research presents a hybrid deep learning model that combin... read more 

Hierarchical proof of trust a Byzantine fault tolerant federated learning framework for industrial IoT applications.

Scientific reports May 5, 2026
The Industrial Internet of Things (IIoT) presents significant challenges for training machine learning models due to data privacy concerns, heterogeneous data distributions, and limited bandwidth. This paper proposes HPoT (Hierarchical Proof-of-Trust... read more 

From nature to robotics: insights of animals collective behaviors on the development of swarm intelligence and multi-robot systems.

Bioinspiration & biomimetics May 5, 2026
The collective behaviors observed in marine, terrestrial, and aerial animals, exhibiting fascinating phenomena that emerge from simple interaction rules among individuals, provide valuable inspiration for swarm intelligence (SI) and robotics. This pa... read more 

Text-Conditional JEPA for Learning Semantically Rich Visual Representations

arXiv May 5, 2026
Image-based Joint-Embedding Predictive Architecture (I-JEPA) offers a promising approach to visual self-supervised learning through masked feature prediction. However with the inherent visual uncertainty at masked positions, feature prediction remain... read more 
Machine Learning cs.CV

CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis

arXiv May 5, 2026
High-throughput plant phenotyping, the quantitative measurement of observable plant traits, is critical for modern breeding but remains constrained by a "phenotyping bottleneck," where manual data collection is labor-intensive and prone to observer b... read more 
Computer Vision and Pattern Recognition

Imbalanced Classification under Capacity Constraints

arXiv May 5, 2026
In many classification settings, the class of primary interest is underrepresented, leading to imbalanced data problems that arise in applications such as rare disease detection and fraud identification. In these contexts, identifying a potential pos... read more 
Machine Learning cs.LG math.ST

FACTOR: Counterfactual Training-Free Test-Time Adaptation for Open-Vocabulary Object Detection

arXiv May 5, 2026
Open-vocabulary object detection often fails under distribution shifts, as it can be misled by spurious correlations between non-causal visual attributes (e.g., brightness, texture) and object categories. Existing test-time adaptation (TTA) methods e... read more 
Computer Vision and Pattern Recognition

LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing

arXiv May 5, 2026
Additive manufacturing (AM) continues to transform modern manufacturing by enabling flexible, on-demand production of complex geometries across diverse industries. Fused filament fabrication (FFF) has extended AM to laboratories, classrooms, and smal... read more 
Machine Learning cs.AI

MedSR-Vision: Deep Learning Framework for Multi-Domain Medical Image Super-Resolution

arXiv May 5, 2026
Medical image super-resolution (MedSR) is essential for improving diagnostic precision across diverse imaging modalities such as MRI, CT, X-ray, Ultrasound, and Fundus imaging. Despite rapid advances in deep learning, challenges remain in preserving ... read more 
Computer Vision and Pattern Recognition

Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology

arXiv May 5, 2026
Multimodal Large Language Models (MLLMs) have demonstrated robust capabilities in recognizing everyday human activities, yet their potential for analyzing clinically significant involuntary movements in neurological disorders remains largely unexplor... read more 
Computer Vision and Pattern Recognition cs.AI
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