Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
IEEE

Temporal Convolutional Network-Based Time Series Forecasting for Cluster Head Prediction in Energy-Constrained WSN-Based IoT

Abstract: In Wireless Sensor Networks-based Internet of Things environments, efficient Cluster Head (CH) selection remains a fundamental challenge, as the limited energy resources of sensor nodes ...
DualShockers

Temporal Health, Explained in Windrose

Shane Limbaugh is a Contributor at DualShockers who began covering games professionally in 2025. A longtime gamer with a Bachelor’s Degree in Game Design and Criticism, Shane brings a design-focused ...
GitHub

Neural Virtual Analog Modeling of Parametric Audio Effects

audio_tcn/ ├── dataset.py # Custom PyTorch Dataset for dry/wet pairs ├── model.py # TCN Architecture, TCNBlock, and FiLM conditioning ├── train.py # Core training loop utilizing auraloss ├── train_all ...
EurekAlert!

Predicting miRNA-drug interactions via dual-channel network based on TCN and BiLSTM

Discovering new drugs is a complicated, time-consuming, costly, risky and failure-prone process. However, about 80% of the drugs that have been approved so far are targeted at protein targets, and 99% ...
IEEE

A Bidirectional Gated Recurrent Unit and Temporal Convolutional Network With a Self-Attention Mechanism to Improve Traffic Flow Prediction Performance

Abstract: An effective temporal modeling approach is crucial for improving traffic flow prediction accuracy. Traditional traffic flow prediction methods have certain limitations in capturing long-term ...