Results 171 to 180 of about 11,890 (266)

Investigation of road transport-based greenhouse gas prediction models and the use of ıntelligent transportation systems for emission reduction. [PDF]

Sci Rep
Beba H, Öztürk Z.
europepmc   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Calculation Simulation of Equivalent Thermomechanical Properties of Dispersion Nuclear Fuel. [PDF]

Materials (Basel)
Yu H, Cong T, Zhang J.
europepmc   +1 more source

Design and optimization of processes for recovering rare earth elements from end‐of‐life permanent magnets

AIChE Journal, EarlyView.
Abstract Recovery of rare earth elements (REEs) from end‐of‐life (EOL) products represents a strategic opportunity to strengthen the domestic supply chain for rare earth elements. This work presents a superstructure‐based optimization framework for finding the most economical processing pathway for different EOL rare earth permanent magnets (REPMs ...
Chris Laliwala, Oluwamayowa O. Amusat, Akintomiwa Ojo, Alejandro Garciadiego, Thomas Tarka, Debangsu Bhattacharyya, Ana I. Torres   +6 more
wiley   +1 more source

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems. [PDF]

ACS Omega
Gadagi A, Bandekar S, Paramasivam S, Deshannavar UB, Rajamohan N, Adake C, Hegde PG, Gatto G.   +7 more
europepmc   +1 more source

A multiscale Bayesian optimization framework for process and material codesign

AIChE Journal, EarlyView.
Abstract The simultaneous design of processes and enabling materials such as solvents, catalysts, and adsorbents is challenging because molecular‐ and process‐level decisions are strongly interdependent. Sequential approaches often yield suboptimal results since improvements in material properties may not translate into superior process performance. We
Michael Baldea
wiley   +1 more source

Enhancing Efficiency in Coal-Fired Boilers Using a New Predictive Control Method for Key Parameters. [PDF]

Sensors (Basel)
Li Q, Yu L, Liu T, Li L, Lin Y, Wang T, Yang C, Wang L, Weng W, Zheng C, Gao X.   +10 more
europepmc   +1 more source

“Autonomous Shipping: Ship Fuel Consumption Prediction with Machine Learning”

Marine transport is a primary facilitator of global trade but is increasingly being pushed to reduce fuel usage on economic and environmental bases. Accurate prediction of ship fuel consumption can potentially optimize operating performance, make sustainable operations feasible, and support regulatory compliance.
openaire   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

Combustion performance prediction in oil and gas plants using integrated neural network models and SAP S4HANA sensor analytics. [PDF]

Sci Rep
Keshireddy SR, Jamithireddy NH, Jamithireddy NS, Sappa A, Vandrangi SK, Emani S, Velidi G.   +6 more
europepmc   +1 more source