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Topic: Power and Energy

Deep Learning Implementation Guide for Battery Health Monitoring Systems

Practical Implementation of DLinear Neural Networks for State-of-Health Estimation in Lithium-Ion Battery Management Systems

Key Points:

  • • Battery health monitoring requires accurate state-of-health estimation to prevent failures and optimize performance
  • • DLinear neural networks provide superior SOH prediction accuracy (R² of 91.91%) compared to traditional approaches
  • • The method combines trend decomposition with linear networks for efficient processing of battery sensor data
  • • Implementation requires minimal computational resources while maintaining high prediction accuracy (MAE of 0.15%)
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Topic: Robotics and Control Systems

Efficient Edge-Based Structural Health Monitoring for Bridge Infrastructure

Implementation of WaveNet and MiniRocket Deep Learning Models for Real-Time Damage Classification Using Raw Accelerometer Data

Topic: Power and Energy

Design Guidelines for Island Microgrid Systems Using Hybrid Solar-Wind Power Generation

Technical Implementation Framework for Standalone Renewable Energy Systems in Remote Island Communities with Solar PV and DFIG-Based Wind Energy Conversion

Topic: Signal Processing and Analysis

Automated Customer Sentiment Analysis Framework for Social Media Data

Multi-Category Opinion Classification Using Supervised Machine Learning with Enhanced Text Processing for Customer Review Analysis

Bioengineering

Implementing AI-IoT Disease Diagnosis Systems for Healthcare Applications

Integration of Crow Search Optimization with Cascaded Long Short-Term Memory Networks for Automated Medical Diagnosis

Aerospace

Optimizing Aviation Equipment Maintenance Quality Through Systematic Factor Analysis

A Hierarchical Framework for Understanding and Managing Critical Factors in Aviation Equipment Maintenance Using Interpretative Structural Modeling (ISM)

Streamlining Aircraft Maintenance Through Digital Knowledge Management

A Metadata-Driven Framework for Modeling and Implementing Aircraft Maintenance Process Knowledge
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Topics

Aerospace 2 Artificial Intelligence 3 Bioengineering 1 Communication, Networking and Broadcast Technologies 14 Components, Circuits, Devices and Systems 4 Computing and Processing 15 Fields, Waves and Electromagnetics 3 Geoscience 1 Power and Energy 49 Robotics and Control Systems 20 Signal Processing and Analysis 1 Transportation 4