Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
GitHub

timeseries-rnn-recurrent-neural-network

This repository contains a time series forecasting project using the Google Play Store dataset. It systematically compares RNN, LSTM, and GRU models, optimized via Keras Tuner, to predict future app ...
Deadline.com

Incomplete Pass: ESPN And Spike Lee Drop His Colin Kaepernick Documentary Series Over “Creative Differences”

ESPN has confirmed it is scrapping Spike Lee’s planned documentary series on ex-NFL quarterback Colin Kaepernick, saying it’s by mutual agreement with the Oscar-winning filmmaker and Kaepernick. “ESPN ...
Reuters

Exclusive: ESPN will not air Spike Lee's docuseries on Colin Kaepernick, citing 'creative differences'

BEVERLY HILLS, California, Aug 16 (Reuters) - Director Spike Lee's multi-part documentary series for ESPN Films about former NFL quarterback Colin Kaepernick, who sparked a national debate when he ...
SiliconANGLE

Next-generation supply chain intelligence startup Lyric gets $43.5M in funding

Supply chain intelligence startup Lyric is ready to expand after closing on a $43.5 million Series B round of funding today. The round was led by Insight Partners, one of the world’s most prominent ...
IEEE

Short-term power load forecasting based on neural network VMD_CNN_BiGRU

Abstract: In response to the challenges posed by large data fluctuations, complex influencing factors, and the need for high forecasting accuracy in short-term power load forecasting, this paper ...
IEEE

Time-Series Forecasting for Peak Hour Traffic Accidents

Abstract: Globally traffic accidents cause considerable damage, injuries, and deaths, making their analysis a critical research area. Recent advances have developed various predictions with different ...
Frontiers

Study on resting-state functional connectivity characteristics under hypnosis using functional near-infrared spectroscopy

Objective: Numerous studies suggest that hypnosis has significant potential in mental health and cognitive disorder treatments. However, the mechanisms by which hypnosis influences brain activity and ...
Hosted on MSN

Cost Functions In Neural Networks Explained – Which One Should You Use And Why?

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...