Literature Review

Reinforcement Learning Technology Development & Air Traffic/Logistics Applications: A Research Report

February 2026 | Focus period: 2018–present (emphasis on 2021–2025)

Airport Taxi Optimization with Offline Reinforcement Learning Using ADS-B Data

A Comprehensive Engineering Research Report 1. Introduction and Problem Statement

Motion Classification Code Explanation - CBAM + CNN + Bi-LSTM

[Review] XAI-Powered Smart Agriculture Framework for Enhancing Food Productivity and Sustainability

1) What the paper sets out to do The article

[Review] A multibranch CNN‑BiLSTM model for human activity recognition using wearable sensor data

Source: Challa, S. K., Kumar, A., & Semwal, V. B.

[Review] A Public Domain Dataset for Human Activity Recognition Using Smartphones

For Jiahong’s PhD Journal Primary source: Anguita, Ghio, Oneto,

[Review] Recognition method research on rough handling of express parcels based on acceleration features and CNN

Paper reviewed: Recognition method research on rough handling of express

[Review] A Practical Introduction to Sequence Learning Models—RNN, LSTM, GRU

TL;DR: This review distills a concise preprint on sequence

[XAI] SHAP vs. LIME in XAI: A Deep, Practical Comparison for Real-World ML

TL;DR: LIME is fast, local, and great for quick

[Review] Deep learning models for real-life human activity recognition from smartphone sensor data

Paper reviewed: García-González, D., Rivero, D., Fernández-Blanco, E., & Luaces,