标题/作者	年份
Coronavirus (covid-19) classification using ct images by machine learning methods M Barstugan, U Ozkaya, S Ozturk arXiv preprint arXiv:2003.09424	2020
Using X-ray images and deep learning for automated detection of coronavirus disease K El Asnaoui, Y Chawki Journal of Biomolecular Structure and Dynamics 39 (10), 3615-3626	2021
Coronavirus (COVID-19) classification using deep features fusion and ranking technique U Özkaya, Ş Öztürk, M Barstugan Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation …	2020
Deep learning for monitoring of human gait: A review AS Alharthi, SU Yunas, KB Ozanyan IEEE Sensors Journal 19 (21), 9575-9591	2019
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases DM Ibrahim, NM Elshennawy, AM Sarhan Computers in biology and medicine 132, 104348	2021
A Deep Learning Based Hybrid Approach for COVID-19 Disease Detections. M Yildirim, A Cinar Traitement du Signal 37 (3), 461-468	2020
Real time security assessment of the power system using a hybrid support vector machine and multilayer perceptron neural network algorithms OA Alimi, K Ouahada, AM Abu-Mahfouz Sustainability 11 (13), 3586	2019
Comparison among driving state prediction models for car-following condition based on EEG and driving features L Yang, W Guan, R Ma, X Li Accident Analysis & Prevention 133, 105296	2019
Are automated sensors a reliable tool to estimate behavioural activities in grazing beef cattle? I Poulopoulou, C Lambertz, M Gauly Applied animal behaviour science 216, 1-5	2019
COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID PM De Sousa, PC Carneiro, MM Oliveira, GM Pereira, CA da Costa Junior, ... Research on Biomedical Engineering 38 (1), 87-97	2022
Coupled-view deep classifier learning from multiple noisy annotators S Li, S Ge, Y Hua, C Zhang, H Wen, T Liu, W Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4667-4674	2020
Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method. M Yildirim, A Cinar Ingénierie des Systèmes d Inf. 25 (4), 413-418	2020
Deep learning for ground reaction force data analysis: Application to wide-area floor sensing AS Alharthi, KB Ozanyan 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …	2019
Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation Y Kan, Q Zhang, J Hao, W Wang, J Zhuang, J Gao, H Huang, J Liang, ... European Radiology 30 (11), 6274-6284	2020
Deep learning for Alzheimer’s disease classification using texture features JH So, N Madusanka, HK Choi, BK Choi, HG Park Current Medical Imaging 15 (7), 689-698	2019
Intrusion detection using machine learning techniques: an experimental comparison KA Tait, JS Khan, F Alqahtani, AA Shah, FA Khan, MU Rehman, W Boulila, ... 2021 International Congress of Advanced Technology and Engineering (ICOTEN …	2021
Developing a virtual hydrogen sensor for detecting fuel starvation in solid oxide fuel cells using different machine learning algorithms B Ghorbani, K Vijayaraghavan International Journal of Hydrogen Energy 45 (51), 27730-27744	2020
A framework for energy-efficient equine activity recognition with leg accelerometers A Eerdekens, M Deruyck, J Fontaine, L Martens, E De Poorter, D Plets, ... Computers and Electronics in Agriculture 183, 106020	2021
A revision of Altman Z-Score model and a comparative analysis of Turkish companies’ financial distress prediction Z Cındık, IH Armutlulu National Accounting Review 3 (2), 237-255	2021
Implementation of neural network classification for diabetes mellitus prediction system through iridology image R Putri, AH Saputro 2019 6th International Conference on Information Technology, Computer and …	2019

1 - 20

计算机程序会自动估算并确定日期和引用次数。