Results 101 to 110 of about 1,303,085 (296)
Expanding Biogas Production Horizons: Diverse Substrates for a Sustainable Future
Biogas production, stemming from anaerobic digestion of organic matter, presents a promising avenue for sustainable energy generation. This research delves into the potential of a variety of substrates, including press mud, spentwash, napier grass, paddy straw, food waste, and chicken litter, for biogas production and evaluates their implications for a
Hadi, Abdul, Dusssan, Karl
openaire +1 more source
Objective The goal was to assess the diagnostic performance of three novel autoantibodies (NA) for Sjögren's disease (SjD) by comparing NA prevalence in patients with SjD, other autoimmune rheumatic diseases (ARDs), nonspecific chronic sialadenitis (CS), and controls.
Chadwick R. Johr +5 more
wiley +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Sun and thermal Energy: Europe’s Precious Energy Sources for Efficient Industries and Buildings
In this workshop, we discussed the progress of five Horizon 2020 projects—HYCOOL, SHIP2FAIR, THERMOSS, SUNHORIZON and HYBUILD—all implementing solar thermal and renewable technologies for buildings and for the industrial sector.
Serena Scotton +9 more
doaj +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
AI-powered predictive framework for crack detection in steel–copper laser welding
Laser welding of dissimilar materials, such as steel and copper, is highly susceptible to crack formation, which compromises joint integrity and service life.
J. Nagendra +6 more
doaj +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
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos +11 more
wiley +1 more source
Transfer of Energy and Momentum Between Magnetoactive Surface Microstructure and a Solid Object
We demonstrate that magnetoactive multilamellar arrays subjected to a rotating magnetic field can function as platforms for controlled transport of physical objects. Through systematic experimental investigation, we elucidate the underlying physical mechanisms determining the upper limit of the achievable transportation speed in such magnetic “conveyor‐
Arne Geldof +9 more
wiley +1 more source
Soil pollution in surroundings of Litija as a reflectionofmining,metallurgy and natural conditions
The influence of mining and metallurgic activities as well as natural conditionson heavy metal pollution in Litija and surroundings was defined.Sampling gridinan area of 30 km2 was determined.
Mateja Gosar, Robert Šajn
doaj

