activity
20202023
most citedHybrid Low-Power Wide-Area Mesh Network for IoT Applications

105 citations · 122 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY2023

An Open Dataset of Sensor Data from Soil Sensors and Weather Stations at Production Farms

Charilaos Mousoulis, Pengcheng Wang, Nguyen Luu Do +5

Weather and soil conditions are particularly important when it comes to farming activities. Study of these factors and their role in nutrient and nitrate absorption rates can lead…

cs.LG2022★ 1 cited

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets

Mustafa Abdallah, Byung-Gun Joung, Wo Jae Lee +3

Smart manufacturing systems are being deployed at a growing rate because of their ability to interpret a wide variety of sensed information and act on the knowledge gleaned from sy…

cs.LG2021★ 14 cited

Anomaly Detection through Transfer Learning in Agriculture and Manufacturing IoT Systems

Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan +3

IoT systems have been facing increasingly sophisticated technical problems due to the growing complexity of these systems and their fast deployment practices. Consequently, IoT man…

cs.NI2020★ 105 cited

Hybrid Low-Power Wide-Area Mesh Network for IoT Applications

Xiaofan Jiang, Heng zhang, Edgardo Alberto Barsallo Yi +6

The recent advancement of the Internet of Things (IoT) enables the possibility of data collection from diverse environments using IoT devices. However, despite the rapid advancemen…

cs.NI2020★ 2 cited

Context-Aware Collaborative-Intelligence with Spatio-Temporal In-Sensor-Analytics in a Large-Area IoT Testbed

Baibhab Chatterjee, Dong-Hyun Seo, Shramana Chakraborty +10

Decades of continuous scaling has reduced the energy of unit computing to virtually zero, while energy-efficient communication has remained the primary bottleneck in achieving full…