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Accounting for Gaussian Process Imprecision in Bayesian Optimization
Bayesian optimization (BO) with Gaussian processes (GP) as surrogate models is widely used to optimize analytically unknown and expensive-to-evaluate...
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Enabling end-to-end digital carbon emission tracing with shielded NFTs
In the energy transition, there is an urgent need for decreasing overall carbon emissions. Against this background, the purposeful and verifiable...
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Optimal electricity distribution of ‘three innovations’ manufacturing enterprises under China’s peak carbon strategy
China’s carbon peak strategy constrains industry’s carbon footprint, limiting the total amount of electricity production from coal burning, rendering...
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Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
The increasing energy consumption and carbon footprint of deep learning (DL) due to growing compute requirements has become a cause of concern. In...
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Geo-ML Enabled Above Ground Biomass and Carbon Estimation for Urban Forests
The study of the carbon cycle and climate change in the worldwide terrestrial ecosystem relies heavily on forest aboveground biomass (AGB). Remote...
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Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis
It is globally accepted to act against global warming through the reduction of carbon dioxide. Carbon footprint is historically defined as the total...
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Evaluating the CO2 abatement effects of low-carbon city policy in China: a quasi-natural experiment
The formulation and implementation of Low-Carbon City Policy (LCCP) is an essential initiative for China to build its low-carbon society. Based on...
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Dynamic analysis of piezolaminated shell structures reinforced with agglomerated carbon nanotubes using an enhanced solid-shell element
This work introduces a linear dynamic analysis of composite smart solid-shell structures reinforced with agglomerated Carbone Nanotubes and embedded...
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Using Machine Learning to Generate a Dictionary for Environmental Issues
The purpose of this paper is to investigate the use of machine learning approaches to build a dictionary of terms to analyze text for ESG content...
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Tools for Calculating the ICT Footprint of Organisations: Adaptation of a European Study
In the face of global warming caused by greenhouse gas (GHG) emissions, the IT industry is responsible for 3–4% of global carbon dioxide emissions....
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From Cost Benefit Analysis to Spatial Indicators: The Use of CO2 Segregation and Carbon Footprint for the Evaluation of Sustainable Land Use Transitions
The paper shows the first result of a research project, aiming at considering new useful environmental indicators that will be useful to describe,...
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TEC: Transparent Emissions Calculation Toolkit
Greenhouse gas emissions have become a common means for determining the carbon footprint of any commercial activity, ranging from booking a trip or...
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Software-Defined Power Supply to Geo-Distributed Edge DCs
With ever-increasing demands for computation, communication, and storage, the worldwide data centers (DCs) are scaling out and scaling up rapidly....
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A holistic approach to environmentally sustainable computing
Placing sustainability at the core of computing practices, the industry is poised to pioneer positive changes and create a cleaner and more...
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Experience Economy and Green Economy Research in China: A 30-Year Bibliometric Analysis
With the continuous development of the global economy, co** with global climate change has become a common challenge for all mankind. As a regional...
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A novel size-dependent nonlocal strain gradient isogeometric model for functionally graded carbon nanotube-reinforced composite nanoplates
The paper presents a novel nonlocal strain gradient isogeometric model for functionally graded carbon nanotube-reinforced composite (FG-CNTRC)...
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A new formulation for non-equilibrium capillarity effect using multi-gene genetic programming (MGGP): accounting for fluid and porous media properties
Dynamic coefficient as an important parameter in determination of the dynamic behavior of capillary pressure is considered as a function of various...
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Evaluating the Environmental Sustainability of an Intermodal Freight Logistic Chain Using the GLEC Framework
In the last years, evaluation of environmental sustainability of supply chains has become central in policies aimed at reducing polluting gas...
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Reinforcement learning based task scheduling for environmentally sustainable federated cloud computing
The significant energy consumption within data centers is an essential contributor to global energy consumption and carbon emissions. Therefore,...
