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 ...

As crime ravages America’s cities, the moment demands a bold, standardized and reliable solution. President Donald Trump is delivering exactly that with a blueprint for national safety through the ...

In this tutorial, we will explore how to implement the LLM Arena-as-a-Judge approach to evaluate large language model outputs. Instead of assigning isolated numerical scores to each response, this ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...

Objective: Construct a predictive model for rehabilitation outcomes in ischemic stroke patients 3 months post-stroke using resting state functional magnetic resonance imaging (fMRI) images, as well as ...

Abstract: Network Intrusion Detection Systems (IDS) are an essential part of the Internet of Things (IoT) Networks, addressing the increasingly severe challenges posed by Internet security threats.

Abstract: Tackling air pollution necessitates sophisticated monitoring and prediction strategies, which can be achieved by machine learning (ML) techniques. By collecting real-time data throughout the ...

This project explores and compares the effectiveness of different deep learning models for cryptocurrency price prediction. By analyzing historical Bitcoin data including OHLCV (Open, High, Low, Close ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding FBI ...