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Volume: Vol 28 No4.2025

Energy efficient automation framework for Industry 4.0 using AI algorithm

A Solar-Powered Grain Dryer for Automated Moisture Management in Post-Harvest Processing

Deep learning methods for predictive maintenance of electrochemical power systems in computers

Predictive Maintenance of Aluminum Production Equipment Using AI-Based Sensors

Enhancing Landscape Design with Artificial Intelligence and Electrochemical Materials: Applications in Environmental Sustainability

Geospatial Analysis for Groundwater Quality Management: A Comprehensive Review

To Reduce Corrosion and Enhance Production Rate of Electrode Manufacturing Process by Control Combustion Technique

Machine learning algorithm for optimizing battery life in portable computing devices

An Integrated Framework for the Secure Management of Big Data Based on Blockchain in Heterogeneous Platforms

Integrating the GQM Model to Evaluate the Effect of Project Delay on Software Industry Project Cost Estimation

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JNMES

Journal of New Materials for Electrochemical Systems

Dedicated to publishing original research, reviews, and commercial aspects related to new materials for electrochemical systems. Advancing sustainable energy technologies through scientific excellence.
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