Bibliometrics as Weapons of Mass Citation - La bibliométrie comme arme de citation massive

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While the introduction of practical deep learning has driven progress across scientific fields, recent research highlighted that the requirement of deep learning for ever-increasing computational resources and data has potential negative impacts on the sci ...

We introduce contextual stochastic bilevel optimization (CSBO) -- a stochastic bilevel optimization framework with the lower-level problem minimizing an expectation conditioned on some contextual information and the upper-level decision variable. This fram ...

Crop maps are crucial for agricultural monitoring and food management and can additionally support domain-specific applications, such as setting cold supply chain infrastructure in developing countries. Machine learning (ML) models, combined with freely-av ...

The reduction of energy consumption in the residential building stock and cement industry is a substantial component of the Swiss Energy Strategy 2050. Therefore, it is vital to identify the potential for EEI in these two sectors. In this study, a new meth ...

Pipelines for extracting oil, gas, water, and supporting energy systems are part of the infrastructure of extractive sites, especially marked in countries with less urbanized areas. Throughout the twentieth century, such regions were influenced by economic ...

This perspective paper explores the rising impacts of the COVID-19 and the Russia-Ukraine war from different perspectives, with an emphasis on the role of climate financing in achieving equitable and just transition mechanisms and that of peace in expediti ...

Background While specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a researcher's impact and career. In particular, the extent to which one specializes within their chosen fields likely ...

We study the optimal design of a menu of funds by a manager who is required to use linear pricing and does not observe the beliefs of investors regarding one of the risky assets. The optimal menu involves bundling of assets and can be constructed from the ...

It is natural for humans to judge the outcome of a decision under uncertainty as a percentage of an ex-post optimal performance. We propose a robust decision-making framework based on a relative performance index. It is shown that if the decision maker’s p ...

There is a need for a tool that facilitates safety decision-making in the academic environment. As this environment is very different from that of industry or other public sectors, there is no information available on the factors that influence the decisio ...

Model-based systems engineering (MBSE) is considered an important approach for understanding multidomain fields and is widely used in complex systems such as aerospace. In this article, a detailed survey of MBSE literature was conducted from its commenceme ...

Cybersickness still poses a significant challenge to the widespread usage of virtual reality, leading to different levels of dis- comfort and potentially breaking the immersive experience. Researchers have attempted to discover the possible fundamental cau ...

Using intelligent virtual assistants for controlling employee population in workspaces is a research area that remains unexplored. This paper presents a novel application of virtual humans to enforce Covid-19 safety measures in a corporate workplace. For t ...

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

In this article, we review the growing literature on financial technology (FinTech) lending-the provision of credit facilitated by technology that improves the customer-lender interaction or used in lenders' screening and monitoring of borrowers. FinTech l ...

The main goal of my research is to establish guidelines for workplace design based on human biomechanics: specifically sitting workplaces and handling areas in 1/6G-1/3G (Moon, Mars) conditions. Such a workplace could be used in long-term space missions in ...

Design exploration is a creative process that consists of the incremental generation of design candidates. Supported by digital means or not, the process handles the ill-structured nature of design and allows creativity to flourish through diversity of des ...

Our contemporary condition, governed by the abstract apparatus of the capitalist market, demands a critical reading of the distribution, ownership, and use of common resources, especially on an island that has experienced a long history of privatization st ...

Cervical cancer remains a major public health concern in developing countries due to financial and human resource constraints. Visual inspection with acetic acid (VIA) of the cervix was widely promoted and routinely used as a low-cost primary screening tes ...

Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights into choice modelling research ques ...

Bibliometrics as Weapons of Mass Citation - La bibliométrie comme arme de citation massive

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The Societal and Scientific Importance of Inclusivity, Diversity, and Equity in Machine Learning for Chemistry

Contextual Stochastic Bilevel Optimization

Using machine learning to generate an open-access cropland map from satellite images time series in the Indian Himalayan region

Endogenous Energy Efficiency Improvement in Housing and Cement Sectors in Switzerland

Steel Pipes and Global Networks: The Influence of Dalmine S.p.A in Shaping Resource Extraction Infrastructures

The Rising Impacts of the COVID-19 Pandemic and the Russia-Ukraine War: Energy Transition, Climate Justice, Global Inequality, and Supply Chain Disruption

Scientific rewards for biomedical specialization are large and persistent

Optimal fund menus

Relatively Robust Decisions

Safety Decision-Making for Laboratory Processes in Academia

Bibliometric Analysis of Model-Based Systems Engineering: Past, Current, and Future

A review of cybersickness in head‐mounted displays: raising attention to individual susceptibility

Virtual Safety Assistant: An Efficient Tool for Ensuring Safety During Covid-19 Pandemic

UAV in the advent of the twenties: Where we stand and what is next

FinTech Lending

Biomechanics at the workplace under hypogravity conditions

Policy-based Exploration of Equilibrium Representations (PEER): A topology grammar for generative conceptual structural design

Manor Lessons: Commons Revisited

Using Dynamic Features for Automatic Cervical Precancer Detection

A systematic review of machine learning classification methodologies for modelling passenger mode choice