IJATS is a peer-reviewed, open-access journal publishing applied technology research with clear industrial, societal, or economic impact.https://ijats.org/enhttps://ijats.org/articles/clinical-nlp-triage/https://ijats.org/articles/clinical-nlp-triage/J. Feldman, P. Krishnan, H. Duarte & E. Wallace — Emergency departments generate unstructured clinical notes faster than staff can review them. We describe a privacy-preserving NLP system that runs entirely on-premise to prioritise notes by acuity, using de-identification and federated fine-tuning to keep patient data local. DepWed, 01 Jul 2026 00:00:00 GMThttps://ijats.org/articles/edge-iot-energy/https://ijats.org/articles/edge-iot-energy/M. Okafor & S. Nakamura — Battery-constrained edge devices must balance responsiveness against energy budgets. This paper introduces an adaptive scheduler that predicts workload bursts and shifts non-critical inference to low-power windows. In a smart- building pilot spanning 240 sensor nodes, the schedulWed, 01 Jul 2026 00:00:00 GMThttps://ijats.org/articles/mlops-drift-detection/https://ijats.org/articles/mlops-drift-detection/A. Sharma, R. Patel & L. Gonzalez — Machine learning models degrade silently as production data diverges from training distributions. We present a lightweight, streaming drift-detection framework that monitors feature and prediction distributions in real time and triggers automated retraining. Evaluated across threWed, 01 Jul 2026 00:00:00 GMT