Devdiscourse

AI for Energy Security: Study Compares LSTM and FFNN in Solar Grid Anomaly Detection

Researchers from Noida International University and Dayananda Sagar University explored deep learning models for anomaly detection in solar power systems, comparing LSTM, FFNN, and Isolation Forest ...

Sharper than ever: New algorithm brings the stars into greater focus

Johns Hopkins applied mathematicians and astronomers have developed a new method to render images from ground-based ...
InfoWorld

A brief history of AI

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
Devdiscourse

AI boosts predictive healthcare yet struggles with data, ethics and workflow adoption

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
News Nation English

From Algorithms to Intelligence: How AI Is Reshaping Quantitative Finance Education

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...
Analytics Insight

Bridging the Energy Gap: AI Solutions for a Sustainable Future

We exist in an era of gigantic expectations. Our cities are growing, our grids are old, our climate is shifting, and our ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
GitHub

Pull requests: Sillians/Optimization-Algorithms-in-Deep-Learning

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Powering Shanxi with Computing | Taiyuan: AI Computing Drives 'Green Data Centers' to Save Energy and Reduce Carbon Emissions, Showcasing Technological Strength

In the era of the digital economy, computing power is the core productivity, and the data centers and communication rooms that produce this computing power are becoming the forefront of technological ...
GitHub

Deep-Learning-for-Conditional-Asset-Pricing-Models

Overview This repository contains a Siamese LSTM architecture implementation for stock return prediction. The model uses two parallel LSTM branches to process: Individual firm characteristics Common ...
IEEE

Comparative Study of CNN, LSTM, CNN-LSTM and GluonTS Machine Learning Algorithms on Water Quality Index (WQI) Prediction

Abstract: Approaches based on artificial intelligence offer promising prospects for optimizing water supply and sanitation systems while guaranteeing the quality of drinking water, surface water, and ...
IEEE

Automated Configuration of Evolutionary Algorithms via Deep Reinforcement Learning for Constrained Multiobjective Optimization

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...