X Ding, W Du - 2022 21st ACM/IEEE International Conference …, 2022 - ieeexplore.ieee.org
Agricultural irrigation is a major consumer of freshwater. Current irrigation systems used in the field are not efficient, since they are mainly based on soil moisture sensors' …
K Yang, M Liu, W Du - IEEE/ACM Transactions on Networking, 2024 - ieeexplore.ieee.org
Both our experiments and previous studies show that LoRa links vary dynamically, which makes data transmission unreliable and consumes much energy of sensor nodes by …
K Yang, Y Chen, W Du - Proceedings of the 22nd Annual International …, 2024 - dl.acm.org
In orchards, tree-level localization of robots is critical for smart agriculture applications like precision disease management and targeted nutrient dispensing. However, prior solutions …
A Boyd, Y Chang, S Mandt… - Uncertainty in Artificial …, 2023 - proceedings.mlr.press
Marked temporal point processes (MTPPs) are a general class of stochastic models for modeling the evolution of events of different types (“marks”) in continuous time. These …
X Ding, W Du - arXiv preprint arXiv:2304.01435, 2023 - arxiv.org
Agricultural irrigation is a significant contributor to freshwater consumption. However, the current irrigation systems used in the field are not efficient. They rely mainly on soil moisture …
K Yang, W Du - ACM Transactions on Sensor Networks, 2024 - dl.acm.org
This paper presents a novel system, LLDPC, which brings Low-Density Parity-Check (LDPC) codes into Long Range (LoRa) networks to improve Forward Error Correction, a task …
Real-world data often exhibits sequential dependence, across diverse domains such as human behavior, medicine, finance, and climate modeling. Probabilistic methods capture …
Cyber-physical systems rely on many control and decision-making algorithms. However, the majority of cyber-physical systems today are still operated by simple rule-based and …