Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

Implementing robust sensor security is essential in connected systems. Compromised sensors can feed corrupt, inaccurate data ...

France’s Safran.AI and Hemeria signed an MOU at Eurosatory 2026 to embed onboard machine learning in stratospheric balloons ...

Front and center at Automate 2026, machine vision solution suppliers showed how vision systems are foundational to industrial automation. Explore some of the products ...

A new AI weather forecasting tool released today by the startup WindBorne Systems offers more frequent and accurate ...

A new review suggests that while digital twins, virtual representations of physical systems that maintain a connection with real-world assets through continuous data exchange, have the potential to ...

A ML-based probabilistic clustering approach for optimal CH selection based on residual energy, node density, and average network energy; A sleep scheduling mechanism to deactivate redundant nodes in ...

Efficient Medium Access Control (MAC) protocol is a primary requirement and plays a critical role in managing robust communication, energy consumption, and data transmission reliability in Wireless ...

Abstract: Due to possible devastating consequences, counteracting sensor data attacks is an extremely important topic, which has not seen sufficient study. To the best of our knowledge, this article ...