Dataset of IoT-based energy and environmental parameters in a smart building infrastructure. [PDF]
Oulefki A +3 more
europepmc +1 more source
Evaluation of environmental parameters in the Espinar Puno stabilization lagoon. [PDF]
Ticona Carrizales L +5 more
europepmc +1 more source
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
A Modular Smart Ocean Observatory for Development of Sensors, Underwater Communication and Surveillance of Environmental Parameters. [PDF]
Bergh Ø +20 more
europepmc +1 more source
Life Cycle Assessment (LCA) of Particleboard: Investigation of the Environmental Parameters. [PDF]
Mohd Azman MAH +11 more
europepmc +1 more source
Thermoreflectance Detection of Point Defects Resulting from Focused Ion Beam Milling
Focused ion beam (FIB) milling is a common tool for nanoscale material processing, however irradiation damage, redeposition, and contamination can occur. We use several characterization tools to show FIB‐induced effects beyond 1 mm from the milled area.
Thomas W. Pfeifer +3 more
wiley +1 more source
Analysis of short-term temporal variations of <sup>222</sup>Rn, other naturally occurring radionuclides, stable elements and environmental parameters in groundwater and surface drinking water in Norway. [PDF]
Aarsand AS, Mrdakovic Popic J, Teien HC.
europepmc +1 more source
Evaluation of Various IVC Systems According to Mouse Reproductive Performance and Husbandry and Environmental Parameters. [PDF]
Stover MG, Villano JS.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

