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LSQ: The Linked SPARQL Queries Dataset, , , , and . International Semantic Web Conference (ISWC), (2015)The LSQ Dataset: Querying for Queries, , , , and . International Semantic Web Conference (ISWC), (2015)LSQ: The Linked SPARQL Queries Dataset Technical Report, , , , and . LSQ Technical Report, (2015)Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry., , , , and . IEEE Access, (2023)ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices., , and . IEEE Internet Things J., 9 (16): 15007-15017 (2022)A Data-Driven Approach for Building the Profile of Water Storage Capacity of Soils., , , and . Sensors, 23 (12): 5599 (2023)Semantic Discovery and Integration of Urban Data Streams., , and . S4SC@ISWC, volume 1280 of CEUR Workshop Proceedings, page 15-30. CEUR-WS.org, (2014)Edge2Train: a framework to train machine learning models (SVMs) on resource-constrained IoT edge devices., , and . IOT, page 6:1-6:8. ACM, (2020)RCE-NN: a five-stage pipeline to execute neural networks (CNNs) on resource-constrained IoT edge devices., , and . IOT, page 5:1-5:8. ACM, (2020)ElastiCL: Elastic Quantization for Communication Efficient Collaborative Learning in IoT., , , , , , , and . SenSys, page 382-383. ACM, (2021)