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). MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/multicnn-filterlstm-resource-efficient-sensor-based-human-activity-recognition-in-iot-applications
MLA“MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multicnn-filterlstm-resource-efficient-sensor-based-human-activity-recognition-in-iot-applications.
BibTeX@misc{4ortxyz_multicnn-filterlstm-resource-efficient-sensor-based-human-activity-recognition-in-iot-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications}}, year = {2026}, url = {https://4ort.xyz/entity/multicnn-filterlstm-resource-efficient-sensor-based-human-activity-recognition-in-iot-applications}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications — https://4ort.xyz/entity/multicnn-filterlstm-resource-efficient-sensor-based-human-activity-recognition-in-iot-applications (retrieved 2026-05-24)
