Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Indian Forex Market Sees 70% Jump in AI Trading Success

AI has transformed the forex market by reshaping trading strategies and outcomes. Traders now approach currency markets differently, and AI tools help create better trading platforms. Algorithmic ...
Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Frontiers

Spatiotemporal prediction of soil moisture content at various depths in three soil types using machine learning algorithms

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...
GitHub

ranasaurabh191/Predictive-Maintenance-PdM-Pipeline

textpdmp_project/ │ ├── data/ │ ├── raw/ # Raw synthetic sensor data (e.g., synthetic_sensor_data.csv) │ └── processed/ # Processed data (e.g ...
GitHub

Ugly! snake_case and camelCase are mixed in the code

I changed the source code significantly, emplying always the Python variable name convention of SNAKE CASE. But the original source code employed CAMEL CASE, and I have not always changed it to the ...
IEEE

Transfer Learning Model for Anomaly Detection in Data Streaming - Data Engineering Perspective

Abstract: The main objective of this paper is to implement a transfer learning model for predicting anomalies in online streaming data. Streaming data is a continuous data generation and transmission ...
IEEE

Optimizing Battery Recycling Processes in Electric Vehicle Life Cycle Assessment using a Hybrid Model of LSTM and Deep Reinforcement Learning

Abstract: Battery recycling processes in the Life Cycle Assessment (LCA) of Electric Vehicles (EVs) are crucial for reducing environmental impact and enhancing resource efficiency. This paper presents ...