Home ›
Entities
› academia
› Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques
Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques
Research article (International Journal of Computational and Experimental Science and Engineering, 2024) · cited 15× · AI/ML
Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques
Summary
Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques is a scholarly article[1].
Key Facts
Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-empowered-water-quality-assessment-leveraging-iot-sensor-data-with-lstm-models-and-interpretability-techni
MLA“Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-empowered-water-quality-assessment-leveraging-iot-sensor-data-with-lstm-models-and-interpretability-techni.
BibTeX@misc{4ortxyz_deep-learning-empowered-water-quality-assessment-leveraging-iot-sensor-data-with-lstm-models-and-interpretability-techni_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-empowered-water-quality-assessment-leveraging-iot-sensor-data-with-lstm-models-and-interpretability-techni}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Learning Empowered Water Quality Assessment: Leveraging IoT Sensor Data with LSTM Models and Interpretability Techniques — https://4ort.xyz/entity/deep-learning-empowered-water-quality-assessment-leveraging-iot-sensor-data-with-lstm-models-and-interpretability-techni (retrieved 2026-05-24)