Results 71 to 80 of about 26,029 (215)

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

A multi‐level approach for multi‐objective optimization in process eco‐design

Environmental Progress &Sustainable Energy, EarlyView.
Abstract This work addresses a central challenge in process eco‐design: how to efficiently integrate environmental and economic criteria—often conflicting—into early design stages while managing the high dimensionality of Life Cycle Assessment (LCA) indicators.
Luis Fernando Morales‐Mendoza, Catherine Azzaro‐Pantel, Ingrid Eileen Ortega‐Gutiérrez, Iris Abril Martínez‐Salazar   +3 more
wiley   +1 more source

Toward improved streamflow forecasts: Value of semidistributed modeling [PDF]

, 2001
The focus of this study is to assess the performance improvements of semidistributed applications of the U.S. National Weather Service Sacramento Soil Moisture Accounting model on a watershed using radar-based remotely sensed precipitation data ...
Boyle, DP, Gupta, HV, Koren, V, Smith, M, Sorooshian, S, Zhang, Z   +5 more
core   +1 more source

Investigation of the Dynamic Evolution Mechanism of Bed Separation in Karst Aquifers and Risk Assessment of Water Inrush

Energy Science &Engineering, EarlyView.
This study reveals the temporal and spatial evolution law of roof separation under the karst aquifer and the dynamic water inrush mechanism of roof separation. The FAHP–EWM–CRITIC combination weighting method was established to obtain the risk zoning of bed separation water inrush in a karst landform mining area. ABSTRACT Coalfields in northern Guizhou
Xilong Zhu, Lulin Zheng, Bo Li, Weide Ren, Xiong Liu, Ximin Zhou   +5 more
wiley   +1 more source

POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS

Energy Science &Engineering, EarlyView.
ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy, Harpreet Kaur Channi, Sita Rani, Aman Kataria, Parveen Bajaj, George Uwadiegwu Alaneme   +5 more
wiley   +1 more source

Route Planning in Transportation Networks [PDF]

, 2015
We survey recent advances in algorithms for route planning in transportation networks. For road networks, we show that one can compute driving directions in milliseconds or less even at continental scale.
Bast, Hannah, Delling, Daniel, Goldberg, Andrew, Müller-Hannemann, Matthias, Pajor, Thomas, Sanders, Peter, Wagner, Dorothea, Werneck, Renato F.   +7 more
core  

Multiobjective Optimization of Hydrogen‐Assisted Calophyllum inophyllum Biodiesel Operation in a Compression Ignition Engine

Energy Science &Engineering, EarlyView.
Tri‐fuel diesel–Calophyllum inophyllum biodiesel–hydrogen operation was tested over 96 points in a diesel engine. Eight performance and emission metrics feed a preference‐agnostic Bootstrapped Empirical Multiobjective Ranking and Selection methodology, revealing load‐blend‐hydrogen windows that increase efficiency, restrain smoke, and expose NOx trade ...
C. Naga Kumar, Nageswara Rao Dayadi, J. M. Babu, Srinivasa Reddy Yarram, Ravikiran Chintalapudi, Bridjesh Pappula   +5 more
wiley   +1 more source

An axiomatization of the Euclidean compromise solution [PDF]

The utopia point of a multicriteria optimization problem is the vector that specifies for each criterion the most favourable among the feasible values. The Euclidean compromise solution in multicriteria optimization is a solution concept that assigns to ...
McLean, Rich, van den Nouweland, Anne, Voorneveld, Mark   +2 more
core  

Using Coevolution Genetic Algorithm with Pareto Principles to Solve Project Scheduling Problem under Duration and Cost Constraints

Journal of Information and Organizational Sciences, 2014
This article considers the multicriteria optimization approach using the modified genetic algorithm to solve the project-scheduling problem under duration and cost constraints. The work contains the list of choices for solving this problem.
Alexandr Victorovich Budylskiy, Irina Kvyatkovskaya Yuryevna   +1 more
doaj  

Multifactorial Screening for Fine‐Scale Selection of CCS Industrial Clusters and Hubs in Brazil

Greenhouse Gases: Science and Technology, EarlyView.
ABSTRACT As Brazil moves toward implementing its decarbonization commitments, carbon capture and storage (CCS) hubs are emerging as a key pathway for large‐scale CO2 abatement in hard‐to‐abate sectors. This paper presents a multifactorial, data‐driven framework to screen and prioritize potential CCS industrial clusters and hubs across Brazilian regions,
Gustavo P. Oliveira, Beatriz R. Almeida, Thiago R. C. Justino, Carlos A. S. Santos, Alex A. Santos, Fabiana Philipi   +5 more
wiley   +1 more source