MIT Technology Review

Delivering a digital sixth sense with next-generation networks

Networks today are far more powerful than they’re given credit for, with sensing capabilities that could detect risk ...
C&EN

Flexible Strain-Sensitive Sensors Assembled from Mussel-inspired Hydrogel with Tunable Mechanical Properties and Wide Temperature Tolerance in Multiple Application Scenarios

School of Materials Science and Engineering, Anhui University of Science and Technology, Huainan, Anhui 232001, P. R. China ...
IEEE

Body Motion Segmentation via Multilayer Graph Processing for Wearable Sensor Signals

Abstract: Human body motion segmentation plays a major role in many applications, ranging from computer vision to robotics. Among a variety of algorithms, graph-based approaches have demonstrated ...
IEEE

Predicting Global Average Temperature Time Series Using an Entire Graph Node Training Approach

Abstract: The data-driven approach has become significant in various scientific fields, such as climate modeling and weather forecasting, where a mechanistic description of physics and chemistry is ...
GitHub

wingyich/Neural-Network-in-Traffic-Prediction

Here is an article about Using HDF5 with Python. Run the following commands to generate train/test/val dataset at data/{METR-LA,PEMS-BAY}/{train,val,test}.npz. As the ...
C&EN

Intrinsically Temperature-Insensitive and Highly Sensitive Flexible Wireless Strain Sensor

Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361102, China Shenzhen Research Institute of Xiamen University, Xiamen University, Shenzhen 518000, China ...