IEEE

A Reliable Estimation of Solar Energy Prediction Through the use of Hybrid CNN-LSTM Algorithm

Abstract: The unpredictability of solar resources increases the difficulty of grid management as solar dispersion rates rise. Because renewable energy sources provide electricity in unpredictable and ...
IEEE

Lightweight Dental Lesion Segmentation Algorithm Based on Transformer and CNN

Abstract: In the application scenario of automatic segmentation diagnosis for dental lesions, the focus of semantic segmentation tasks lies in how to design a lightweight segmentation network enabling ...
IEEE

Implementation of the Convolutional Neural Network (CNN) Method to Detect Traffic Congestion and Determine the Best Route Using the Heuristic Search Algorithm on Palembang City ...

Abstract: The city of Palembang is facing a significant increase in traffic density, causing various problems such as congestion. Research was conducted to overcome this problem by using various ...
IEEE

Harmonic Emission Level Estimation Method Based on CNN-LSTM Algorithm

Abstract: In order to realize the effective prediction of harmonic emission level in power system, a harmonic emission level estimation method based on CNN-LSTM algorithm is proposed. The harmonic ...

Nature-inspired computers are shockingly good at math

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
FanBolt

Netflix’s New Thriller ‘The Rip’ Might Be Matt Damon and Ben Affleck’s Riskiest Move Yet

Here’s the thing about The Rip that should bother you more than it probably does. Matt Damon and Ben Affleck, two actors whose combined ...