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20242026
most citedLeveraging the Power of Ensemble Learning for Secure Low Altitude Economy

2 citations · 2 across the 23 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.CV2026

A multi-center analysis of deep learning methods for video polyp detection and segmentation

Noha Ghatwary, Pedro Chavarias Solano, Mohamed Ramzy Ibrahim +24

Colonic polyps are well-recognized precursors to colorectal cancer (CRC), typically detected during colonoscopy. However, the variability in appearance, location, and size of these…

cs.CR2026★ 2 cited

Leveraging the Power of Ensemble Learning for Secure Low Altitude Economy

Yaoqi Yang, Yong Chen, Jiacheng Wang +3

Low Altitude Economy (LAE) holds immense promise for enhancing societal well-being and driving economic growth. However, this burgeoning field is vulnerable to security threats, pa…

cs.CR2026

Multi-Agent Collaborative Intrusion Detection for Low-Altitude Economy IoT: An LLM-Enhanced Agentic AI Framework

Hongjuan Li, Hui Kang, Jiahui Li +6

The rapid expansion of low-altitude economy Internet of Things (LAE-IoT) networks has created unprecedented security challenges due to dynamic three-dimensional mobility patterns,…

cs.NI2026

Low-altitude Multi-UAV-assisted Data Collection and Semantic Forwarding for Post-Disaster Relief

Xiaoya Zheng, Geng Sun, Jiahui Li +5

The low-altitude economy (LAE) is an emerging economic paradigm which fosters integrated development across multiple fields. As a pivotal component of the LAE, low-altitude uncrewe…

cs.NI2026

Low-Altitude Satellite-AAV Collaborative Joint Mobile Edge Computing and Data Collection via Diffusion-based Deep Reinforcement Learning

Boxiong Wang, Hui Kang, Jiahui Li +5

The integration of satellite and autonomous aerial vehicle (AAV) communications has become essential for the scenarios requiring both wide coverage and rapid deployment, particular…