Standards and innovation: A review and introduction to the special issue

K Blind, M Kenney, A Leiponen, T Simcoe - Research Policy, 2023 - Elsevier
Standards are connected to innovation in numerous ways. They often define the interfaces
that products use to communicate, the features that are critical for safety, and even the …

Reviewing multimodal machine learning and its use in cardiovascular diseases detection

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Electronics, 2023 - mdpi.com
Machine Learning (ML) and Deep Learning (DL) are derivatives of Artificial Intelligence (AI)
that have already demonstrated their effectiveness in a variety of domains, including …

Scrutinizing environmental governance in a digital age: New ways of seeing, participating, and intervening

S Kloppenburg, A Gupta, SRL Kruk, S Makris… - One Earth, 2022 - cell.com
Digital technologies play an increasingly important role in addressing environmental
challenges, such as climate change and resource depletion. Yet, the characteristics and …

The Data Revolution: A critical analysis of big data, open data and data infrastructures

R Kitchin - 2021 - torrossa.com
Our world is becoming ever more data-driven, transforming how business is conducted,
governance enacted, and knowledge produced. Yet, the nature of data and the scope and …

Building feature‐based machine learning regression to quantify urban material stocks: A Hong Kong study

L Yuan, W Lu, F Xue, M Li - Journal of Industrial Ecology, 2023 - Wiley Online Library
Urban material stock (UMS) represents elegant thinking by perceiving cities as a repository
of construction materials that can be reused in the future, rather than a burdensome …

A machine learning tool to predict the antibacterial capacity of nanoparticles

M Mirzaei, I Furxhi, F Murphy, M Mullins - Nanomaterials, 2021 - mdpi.com
The emergence and rapid spread of multidrug-resistant bacteria strains are a public health
concern. This emergence is caused by the overuse and misuse of antibiotics leading to the …

[HTML][HTML] Predicting lung cancer survival based on clinical data using machine learning: A review

FA Altuhaifa, KT Win, G Su - Computers in Biology and Medicine, 2023 - Elsevier
Abstract Machine learning has gained popularity in predicting survival time in the medical
field. This review examines studies utilizing machine learning and data-mining techniques to …

Confronting data inequality

A Fisher, T Streinz - Colum. J. Transnat'l L., 2021 - HeinOnline
In economic and human development narratives, the term" data inequality" typically
connotes a lack of opportunities that having access to digital data might otherwise enable …

[HTML][HTML] Urban water consumption at multiple spatial and temporal scales. A review of existing datasets

A Di Mauro, A Cominola, A Castelletti, A Di Nardo - Water, 2021 - mdpi.com
Over the last three decades, the increasing development of smart water meter trials and the
rise of demand management has fostered the collection of water demand data at …

Digital gatekeepers

TE Kadri - Tex. L. Rev., 2020 - HeinOnline
Digital Gatekeepers Page 1 Digital Gatekeepers Thomas E. Kadri* If in William Blackstone's
time we might have thought of a person's home as their castle, in Mark Zuckerberg's time we …