Results 1 to 10 of about 14,024,113 (261)

Deep Learning-Based Intelligent Apple Variety Classification System and Model Interpretability Analysis. [PDF]

Foods, 2023
Yu F, Lu T, Xue C.
europepmc   +2 more sources

Analysis of Failure Features of High-Speed Automatic Train Protection System

IEEE Access, 2021
An automatic train protection (ATP) system is the core to ensure operation safety of high-speed railway. At present, failure rate change rules of the system are not well understood and the maintenance strategy is not refined.
Renwei Kang, Junfeng Wang, Jianqiu Chen, Jingjing Zhou, Yanzhi Pang, Jianfeng Cheng   +5 more
doaj   +1 more source

ExoFIA: Deep Exogenous Assistance in the Prediction of the Influence of Fake News with Social Media Explainability

Applied Sciences, 2023
The growth of social platforms has lowered the barrier of entry into the media sector, allowing for the spread of false information and putting democratic politics and social security at peril.
Pei-Xuan Li, Yu-Yun Huang, Chris Shei, Hsun-Ping Hsieh   +3 more
doaj   +1 more source

Automated Sleep Staging via Parallel Frequency-Cut Attention

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Stage-based sleep screening is a widely-used tool in both healthcare and neuroscientific research, as it allows for the accurate assessment of sleep patterns and stages.
Zheng Chen, Ziwei Yang, Lingwei Zhu, Wei Chen, Toshiyo Tamura, Naoaki Ono, Md Altaf-Ul-Amin, Shigehiko Kanaya, Ming Huang   +8 more
doaj   +1 more source

Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles

Biomolecules, 2020
In silico models to predict which tumors will respond to a given drug are necessary for Precision Oncology. However, predictive models are only available for a handful of cases (each case being a given drug acting on tumors of a specific cancer type).
Stefan Naulaerts, Michael P. Menden, Pedro J. Ballester   +2 more
doaj   +1 more source

Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence

Sensors, 2020
Assessing the health condition has a wide range of applications in healthcare, military, aerospace, and industrial fields. Nevertheless, traditional feature-engineered techniques involve manual feature extraction, which are too cumbersome to adapt to the
Yuxi Zhou, Shenda Hong, Junyuan Shang, Meng Wu, Qingyun Wang, Hongyan Li, Junqing Xie   +6 more
doaj   +1 more source

Prediction of end-point phosphorus content of molten steel in BOF with machine learning models [PDF]

Journal of Mining and Metallurgy. Section B: Metallurgy
The main task in the production of steel in the basic oxygen furnace (BOF) is dephosphorization Therefore, the prediction and control of the end-point phosphorus content of molten steel is of great significance.
Kang Y., Ren M.-M., Zhao J.-X., Yang L.-B., Zhang Z.-K., Wang Z., Cao G.   +6 more
doaj   +1 more source

Hyperparameter Optimization of Long Short Term Memory Models for Interpretable Electrical Fault Classification

IEEE Access, 2023
The reliability of the model significantly affects early detection and accurate classification of electrical faults. In this study, a Long Short Term Memory based fault classification model was developed for the Power System Machine Learning benchmark ...
Biju G. M., G. N. Pillai
doaj   +1 more source

A hybrid deep learning scheme for MRI-based preliminary multiclassification diagnosis of primary brain tumors

Frontiers in Oncology
ObjectivesThe diagnosis and treatment of brain tumors have greatly benefited from extensive research in traditional radiomics, leading to improved efficiency for clinicians.
Zhichao Wang, Zhichao Wang, Chuchu He, Yan Hu, Yan Hu, Haifeng Luo, Chao Li, Xiandong Wu, Yang Zhang, Jingjing Li, Jun Cai   +10 more
doaj   +1 more source

Next-Gen Machine Learning Models: Pushing the Boundaries of AI [PDF]

Iranian Journal of Information Processing & Management
Background: Machine learning (ML) has developed significantly over the years, changing several industries through the use of automation and Big Data. By building better next-generation machine learning models, AI’s future has the potential of improving ...
Yaser Issam Hamodi Aljanabi, Sabah M. Kallow, Pirmatov Abdymanap Ziiaidinovich, Nahlah M. A. D. Najm, Ghada S. Mohammed   +4 more
doaj   +1 more source