Results 31 to 40 of about 5,431 (217)

A Source Code Similarity Based on Siamese Neural Network

, 2020
Finding similar code snippets is a fundamental task in the field of software engineering. Several approaches have been proposed for this task by using statistical language model which focuses on syntax and structure of codes rather than deep semantic ...
Chunli Xie, Xia Wang, Mengqi Wang, Cheng Qian   +3 more
core   +1 more source

Multiple Object Tracking via Feature Pyramid Siamese Networks

IEEE Access, 2019
When multiple object tracking (MOT) based on the tracking-by-detection paradigm is implemented, the similarity metric between the current detections and existing tracks plays an essential role. Most of the MOT schemes based on a deep neural network learn
Sangyun Lee, Euntai Kim
doaj   +1 more source

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

npj Digital Medicine, 2020
Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category thresholds ...
Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina V. Hoebel, Deniz Erdoğmuş, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer   +13 more
doaj   +1 more source

Multi-Loss Siamese Neural Network With Batch Normalization Layer for Malware Detection

IEEE Access, 2020
Malware detection is an essential task in cyber security. As the trend of malicious attacks grows, unknown malware detection with high accuracy becomes more and more challenging.
Jinting Zhu, Julian Jang-Jaccard, Paul A. Watters   +2 more
doaj   +1 more source

CNN-Siam: multimodal siamese CNN-based deep learning approach for drug‒drug interaction prediction

BMC Bioinformatics, 2023
Background Drug‒drug interactions (DDIs) are reactions between two or more drugs, i.e., possible situations that occur when two or more drugs are used simultaneously. DDIs act as an important link in both drug development and clinical treatment. Since it
Zihao Yang, Kuiyuan Tong, Shiyu Jin, Shiyan Wang, Chao Yang, Feng Jiang   +5 more
doaj   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms

Mathematics, 2022
Offshore wind energy is increasingly being realized at deeper ocean depths where jacket foundations are now the greatest choice for dealing with the hostile environment. The structural stability of these undersea constructions is critical.
Joseph Baquerizo, Christian Tutivén, Bryan Puruncajas, Yolanda Vidal, José Sampietro   +4 more
doaj   +1 more source

A Siamese neural network-based diagnosis of COVID-19 using chest X-rays [PDF]

Radiological findings play an essential and complementary role in diagnosing Covid-19, assessing its severity, and managing its patients. Artificial intelligence technology based on medical imaging, which has made exciting developments by being applied ...
Tas, Engin, Atli, Ayca Hatice
core   +1 more source

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Diagnosis of Multiple Sclerosis by Detecting Asymmetry Within the Retina Using a Similarity-Based Neural Network

IEEE Access
Multiple sclerosis (MS) is a chronic neurological disorder that targets the central nervous system, causing demyelination and neural disruption, which can include retinal nerve damage leading to visual disturbances.
Regan Cain Bolton, Rahele Kafieh, Fereshteh Ashtari, Amir Atapour-Abarghouei   +3 more
doaj   +1 more source