A framework for lung and colon cancer diagnosis via lightweight deep learning models and transformation methods

O Attallah, MF Aslan, K Sabanci - Diagnostics, 2022 - mdpi.com
Among the leading causes of mortality and morbidity in people are lung and colon cancers.
They may develop concurrently in organs and negatively impact human life. If cancer is not …

Few-shot incremental learning with continual prototype calibration for remote sensing image fine-grained classification

Z Zhu, P Wang, W Diao, J Yang, H Wang… - ISPRS Journal of …, 2023 - Elsevier
With the rapid acquisition of remote sensing (RS) data, new categories of objects continue to
emerge, and some categories can only obtain a few training samples. Thus, few-shot class …

Optimizing and evaluating swin transformer for aircraft classification: Analysis and generalizability of the mtarsi dataset

K Gao, H He, D Lu, L Xu, L Ma, J Li - IEEE Access, 2022 - ieeexplore.ieee.org
Aircraft classification via remote sensing images has many commercial and military
applications. The Swin-Transformer has shown great promise, recently dominating general …

Aircraft Surface Movement and Operation Monitoring Systems in General Aviation and Commercial Airports: A State-of-the-Art Review

M Farhadmanesh, A Rashidi, P Schonfeld… - Iranian Journal of …, 2024 - Springer
Airports are a critical component of the civil infrastructure system, serving as the main entry
and exit points for both people and goods. Aircraft operations on airfields are monitored by …

Robust Aircraft Detection in Imbalanced and Similar Classes With a Multi-Perspectives Aircraft Dataset

B Yang, D Tian, S Zhao, W Wang, J Luo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Aircraft detection holds significant importance in both civilian and military fields, such as air
transportation control and battlefield situational awareness. Deep learning-based methods …

[PDF][PDF] Intelligent Military Aircraft Recognition and Identification to Support Military Personnel on the Air Observation Operation

ADW Sumari, DE Adinandra, AR Syulistyo… - … Journal on Advanced …, 2022 - researchgate.net
A hostile or unfriendly aircraft will mostly fly at low-level altitude or hide behind natural
obstacles to avoid Radar detection. One of the ways to detect and recognize while at the …

Intelligent Known and Novel Aircraft Recognition--A Shift from Classification to Similarity Learning for Combat Identification

A Saeed, HB Atif, U Habib, M Bilal - arXiv preprint arXiv:2402.16486, 2024 - arxiv.org
Precise aircraft recognition in low-resolution remote sensing imagery is a challenging yet
crucial task in aviation, especially combat identification. This research addresses this …

Fractal Neural Network Approach for Analyzing Satellite Images

V Shymanskyi, O Ratinskiy… - Applied Artificial …, 2025 - Taylor & Francis
Satellites play a critical role in modern technology by providing images for various
applications, such as detecting infrastructure and assessing environmental impacts. The …

[PDF][PDF] AGMG-Net: Leveraging multiscale and fine-grained features for improved cargo recognition

A Li, C Yang - Mathematical Biosciences and Engineering, 2023 - aimspress.com
Security systems place great emphasis on the safety of stored cargo, as any loss or
tampering can result in significant economic damage. The cargo identification module within …

Traffic Classification of Network Security Agents Based on Feature Fusion Convolutional Neural Network

Y Li, X Li, Y Zhang - Proceedings of the 2023 International Conference …, 2023 - dl.acm.org
With the rapid development of the Internet, the number of network attacks has increased,
and network security has gradually become a focus of attention. Network security agent …