[HTML][HTML] TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

Transforming knowledge management in the construction industry through information and communications technology: A 15-year review

H Deng, Y Xu, Y Deng, J Lin - Automation in Construction, 2022 - Elsevier
Abstract Information and Communications Technologies (ICTs) play a vital role in the
knowledge management (KM) of the Architecture, Engineering and Construction (AEC) …

[HTML][HTML] TinyML: Enabling of inference deep learning models on ultra-low-power IoT edge devices for AI applications

NN Alajlan, DM Ibrahim - Micromachines, 2022 - mdpi.com
Recently, the Internet of Things (IoT) has gained a lot of attention, since IoT devices are
placed in various fields. Many of these devices are based on machine learning (ML) models …

Assembling sustainable smart city transitions: An interdisciplinary theoretical perspective

L Mora, M Deakin, X Zhang, M Batty… - … Smart City Transitions, 2022 - taylorfrancis.com
This book begins with a middle-range theory of sustainable smart city transitions, which
forms bridges between theorizing in smart city development studies and some of the …

Addressing the COVID-19 crisis by harnessing Internet of Things sensors and machine learning algorithms in data-driven smart sustainable cities

N Lyons, G Lăzăroiu - Geopolitics, History, and International Relations, 2020 - ceeol.com
This paper analyzes the outcomes of an exploratory review of the current research on data-
driven smart sustainable cities. The data used for this study was obtained and replicated …

[HTML][HTML] The landscape and evolution of urban planning science

M Haghani, S Sabri, C De Gruyter, A Ardeshiri… - Cities, 2023 - Elsevier
The science of urban planning has drawn on a wide range of disciplines and research
perspectives. This makes it challenging to define the boundaries and directions of the field …

[HTML][HTML] Increased attention to smart development in rural areas: a scientometric analysis of smart village research

Q Wang, S Luo, J Zhang, K Furuya - Land, 2022 - mdpi.com
As the research on smart cities matures and thrives, research focusing on smart rural
development has also emerged into the spotlight in recent years. An increasing number of …

[HTML][HTML] What makes an informative and publication-worthy scientometric analysis of literature: a guide for authors, reviewers and editors

M Haghani - Transportation Research Interdisciplinary Perspectives, 2023 - Elsevier
In light of the proliferation of scientometric/bibliometric software and its accessibility to a wide
array of researchers, we have witnessed a substantial increase in literature analyses …

[HTML][HTML] Bibliometric mapping of solid lipid nanoparticles research (2012–2022) using VOSviewer

SI Abdelwahab, MME Taha, SS Moni… - Medicine in Novel …, 2023 - Elsevier
Nanotechnology is a rapidly expanding discipline, and solid lipid nanoparticles (SLN) are at
the forefront of this development. They offer various possible clinical and pharmaceutical …

[HTML][HTML] Bibliometric analysis of smart public governance research: Smart city and smart government in comparative perspective

P Vujković, D Ravšelj, L Umek, A Aristovnik - Social Sciences, 2022 - mdpi.com
The concept of smart public governance (SPG) is gaining attention among researchers,
policymakers, and practitioners around the world, especially in response to the …