Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System Cardiovascular diseases are the most common cause of death worldwide over the last few decades in the developed as well as underdeveloped and develop- ing ... S Nashif,MR Raihan,MR...
IEEE Geosci. Remote Sens. Lett. 14, 2190–2194. https://doi.org/10.1109/LGRS.2017.2743715 (2017). Article ADS Google Scholar Maniyath, S.R., et al. Plant disease detection using machine learning. In Proceedings of the 2018 International Conference on Design Innovations for 3Cs Compute ...
Deep learning-based object detection improvement for tomato disease. IEEE Access. 2020;8:56607–14. Article Google Scholar Xiaoxiao S, Shaomin M, Yongyu X, Zhihao C, Tingting S. Image recognition of tea leaf diseases based on convolutional neural network. In: 2018 international conference on ...
Heart disease is a fatal human disease, rapidly increases globally in both developed and undeveloped countries and consequently, causes death. Normally, in this disease, the heart fails to supply a sufficient amount of blood to other parts of the body in
In this paper, we present an approach for Alzheimer's disease detection using voxel-based morphometric features and an extreme learning machine classifier. For feature selection, Integer Coded Genetic Algorithm along with the Extreme Learning Machine classifier (referred to here as the ICGA-ELM classif...
Early detection of Proposed framework This section mainly introduces our proposed framework. Considering that diseases vary from region to region, whether they are classified by occupation or other attributes, it is necessary first to determine the region before classification [39]. Since this paper ...
Using class imbalance learning for software defect prediction[J] IEEE Trans Reliab, 62 (2) (2013), pp. 434-443 View in ScopusGoogle Scholar [13] T.-Y. Lin, P. Goyal, R.B. Girshick, K. He, P. Dollár Focal loss for dense object detection In: IEEE international conference on compute...
In particular, deep learning-based speech analysis and language processing techniques for Alzheimer’s disease detection have been studied and achieved impressive results. Methods To integrate the latest research progresses, hundreds of relevant papers from ACM, DBLP, IEEE, PubMed, Scopus, Web of ...
Diseases prediction has been performed by machine learning approaches with various biological data. One of the representative data is the gut microbial community, which interacts with the host’s immune system. The abundance of a few microorganisms has b
The use of deep learning and machine learning (ML) in medical science is increasing, particularly in the visual, audio, and language data fields. We aimed to build a new optimized ensemble model by blending a DNN (deep neural network) model with two ML m