Literature Review

[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 (Literature Review)

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,

[Review] Real-time Human Activity Recognition from Accelerometer Data using Convolutional Neural Networks

Article reviewed: Andrey Ignatov (2018), “Real-time human activity recognition from

[Review] LSTM-CNN for Human Activity Recognition

Source reviewed: Xia, Huang, & Wang (2020), “LSTM-CNN Architecture for

Overleaf + LaTeX 全面实用教程（从零到进阶）

本教程面向：第一次接触 LaTeX 的同学、准备从 Word 迁移到 LaTeX 的研究者、以及想把