Journal: MethodsX

Article Title: A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems

doi: 10.1016/j.mex.2025.103181

Figure Lengend Snippet: Summary of existing survey.

Article Snippet: For this research, we used the dataset downloaded from Kaggle's Environmental Sensor Telemetry Data which carries 405,184 sensor readings resulting from multiple IoT devices in various environmental conditions [ ].

Techniques: Labeling, Injection, Environmental Monitoring

Journal: MethodsX

Article Title: A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems

doi: 10.1016/j.mex.2025.103181

Figure Lengend Snippet: Comparative analysis.

Article Snippet: For this research, we used the dataset downloaded from Kaggle's Environmental Sensor Telemetry Data which carries 405,184 sensor readings resulting from multiple IoT devices in various environmental conditions [ ].

Techniques: Injection, Isolation

Journal: MethodsX

Article Title: A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems

doi: 10.1016/j.mex.2025.103181

Figure Lengend Snippet:

Article Snippet: For this research, we used the dataset downloaded from Kaggle's Environmental Sensor Telemetry Data which carries 405,184 sensor readings resulting from multiple IoT devices in various environmental conditions [ ].

Techniques: