Artificial intelligence (AI), using a simple blood test combined with standard brain images has, for the first time, been able to identify two biologically distinct types of multiple sclerosis (MS), ...
Abstract: Multi-view attributed graphs (MVAGs) provide rich structural and attribute information, but existing clustering methods struggle to jointly exploit multi-view attributes and multiple graph ...
Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...
Introduction: University-enterprise cooperation (UEC) is critical for bridging the gap between higher education and industry, enhancing student employability and professional readiness. However, ...
Abstract: multiple attribute group decision making (MAGDM) aims to assist a group in evaluating multiattribute alternatives for seeking the most satisfactory one(s). To improve the decision quality of ...
This is an important study showing that people who are hungry (vs. sated) put more weight on taste (vs. health) in their food choices. The experiment is well-designed and includes choice behavior, eye ...
My model is a pytorch multi-input model, that takes as input a list of 3 inputs with different feature dimensions, ex: [batchxdim1xtime, batchxdim2xtime, batchxdim3xtime] and outputs binary ...
GPU: NVIDIA Tesla T4 CPU: Intel Xeon Gold 6271C @ 2.60GHz Other Environments: Ubuntu 20.04 / cuDNN 8.6 / TensorRT 8.5.2.2 Regular Mode FP32 Precision / No TRT Acceleration FP32 Precision / 8 Threads ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback