7315 CLINICAL SCORES PREDICTION AND MEDICATION ADJUSTMENT FOR COURSE OF PARKINSON'S DISEASE 2620 CLIP-BASED SYNERGISTIC KNOWLEDGE TRANSFER FOR TEXT-BASED PERSON RETRIEVAL 5672 CLIP-FONT: SEMENTIC SELF-SUPERVISED FEW-SHOT FONT GENERATION WITH CLIP 5963 CLIP-MSA: INCORPORATING INTER-MODAL DYNAMICS AND COMM...
Multi-modal Graph learning for Disease Prediction (MMGL) This is a PyTorch transductive version of MMGL model as proposed in our paper, the inductive version will be coming soon. Update: The inductive version of MMGL has been released!
Analysing how the heart grows and remodels over time can provide precious insights into pathological mechanisms, eventually resulting in quantitative metrics for disease evaluation and therapy planning. This study aims to quantify the regional impacts of valve regurgitation and heart growth upon the end...
Weed control, pesticides or fungicides application, disease identification. Soil health monitoring and management. Enhance carbon sequestration and improve crop management. Precision agriculture and CI. Crop yield prediction models and algorithms. Agroforestry system design and optimization. Smart irrigation sys...
In the next step feature extraction is done and these extracted features are fed to convolution neural network (CNN) to classify paddy leafs/plants as belonging to type of disease classes namely brown spot, bacterial blight, leaf blast, leaf streak and healthy leaf classes based on training ...
demo, and poster papers. Accepted regular and short papers will have an option to be published in either ACM Proceedings or Elsevier Smart Health Journal. The Best Paper Award will be selected among the accepted full papers. Topics of interest and submission details are provided on the IEEE/...
Functional Magnetic Resonance Imaging (fMRI) is used for extracting blood oxygen signals from brain regions to map brain functional connectivity for brain disease prediction. Despite its effectiveness, fMRI has not been widely used: on the one hand, collecting and labeling the data is time-consuming...
Research Paper Data Scrapped from IEEE website Data CardCode (2)Discussion (0)Suggestions (0) About Dataset IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity encompassing electronics engineering, electrical engineering, and other...
In this paper, we have optimized automatic learning algorithms for the effective prediction of chronic disease epidemics in frequent disease communities. We propose a new convolutional neural networks (CNN-MDRP) multimodal disease prediction algorithm using structured and unstructured hospital data.Santosh ...
The second article is on an interesting subsystem designed by one team. With this article we also recognize the efforts of its author, Wally Rippel, who was instrumental in establishing the Great Electric Car Race of 1968. 展开 DOI: 10.1109/T-VT.1971.23472 年份: 1971 ...