Home automation with high usefulness and low annoyance tends to rely on reliable person sensing, and [francescopace]’s ...
Structural health monitoring (SHM) and condition monitoring are crucial for ensuring reliability and safety of engineering systems across aerospace, civil engineering, and industry. These systems are ...
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Superpixel-based virtual sensor grid enables robust, low-cost infrastructure monitoring
Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of engineering systems in a variety of fields, including aerospace, civil ...
South Korean startup Stratio has developed a mass-producible short-wave infrared (SWIR) imaging sensor based on germanium, costing just 1% of comparable market products. By integrating AI algorithms, ...
The rapid and accurate localization of hazardous chemical leak sources is critical for mitigating environmental damage, protecting public health, and ensuring an effective emergency response. However, ...
We’ve developed a topology search, auto-parallelization, and placement algorithm that can integrate with VERL to reduce end-to-end training latency and improve device utilization. The method jointly ...
Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking data quality ...
ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...
Real-time, item-level intelligence is transforming how we move goods, manage assets, and automate operations. But delivering that level of visibility depends on an equally scalable power foundation.
Establishes a new category of wearable glucose sensors for metabolic health SAN DIEGO, Sept. 25, 2025 (GLOBE NEWSWIRE) -- Biolinq Incorporated, a pioneering developer of precision multi-analyte ...
Abstract: Accurately monitoring the spatio-temporal dynamics of environmental fields using point-based Wireless Sensor Networks (WSNs) is critical for applications such as urban microclimate ...
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