Time Series

[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

End-to-End ML Experiment Tracking with MLflow

A practical, reproducible tutorial you can drop into your project

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

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

From Local Training to Live API: A Minimal, Reliable CI/CD Workflow

Goal: Train your ML model on your local machine, package

[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