[HTML][HTML] Deep learning-assisted smart process planning, robotic wireless sensor networks, and geospatial big data management algorithms in the internet of …

G Lăzăroiu, M Andronie, M Iatagan… - … International Journal of …, 2022 - mdpi.com
The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in …

SD Shelare, PN Belkhode, KC Nikam, LD Jathar… - Energy, 2023 - Elsevier
As the global population and economy grow, so does the energy demand. Over-reliance on
non-renewable resources leads to depletion and price spikes, making renewable …

ChatGPT and consumers: Benefits, pitfalls and future research agenda

J Paul, A Ueno, C Dennis - International Journal of Consumer …, 2023 - Wiley Online Library
The need of the hour is to encourage research on topics with newness and novelty. In this
context, this article discusses multidimensional benefits and potential pitfalls of using …

[HTML][HTML] Assessing the effects of the COVID-19 pandemic on M-commerce adoption: an adapted UTAUT2 approach

S Vinerean, C Budac, LA Baltador, DC Dabija - Electronics, 2022 - mdpi.com
The COVID-19 pandemic has impacted consumers' lives and their shopping patterns,
leading them towards mobile commerce. To address current shopping circumstances, an …

[HTML][HTML] Computer vision algorithms, remote sensing data fusion techniques, and mapping and navigation tools in the Industry 4.0-based Slovak automotive sector

M Nagy, G Lăzăroiu - Mathematics, 2022 - mdpi.com
The objectives of this paper, and the novelty brought to the topic of the Industry 4.0
manufacturing systems, are related to the integration of computer vision algorithms, remote …

[HTML][HTML] Machine intelligence and autonomous robotic technologies in the corporate context of SMEs: Deep learning and virtual simulation algorithms, cyber-physical …

M Nagy, G Lăzăroiu, K Valaskova - Applied Sciences, 2023 - mdpi.com
This study examines Industry 4.0-based technologies, focusing on the barriers to their
implementation in European small-and medium-sized enterprises (SMEs). The purpose of …

[HTML][HTML] Environmental and economic advantages of production and application of digestate biochar

J Maroušek, B Minofar, A Maroušková… - … Technology & Innovation, 2023 - Elsevier
It has been repeatedly and independently proved that biochar applications brings a wide
range of environmental advantages. For these benefits to have any tangible impact on a …

The regional energy transformation in the context of renewable energy sources potential

B Igliński, U Kiełkowska, MB Pietrzak, M Skrzatek… - Renewable Energy, 2023 - Elsevier
The topics addressed in the article concern the problem of exploiting the potential of
renewable energy sources (RES) at the regional level and the problem of the course of …

Competitive algae biodiesel depends on advances in mass algae cultivation

J Maroušek, A Maroušková, B Gavurová, D Tuček… - Bioresource …, 2023 - Elsevier
The aim of this review was to study why, despite large investments in research and
development, algae biodiesel is still not price competitive with fossil fuels. Microalgal …

[HTML][HTML] Industry 4.0 wireless networks and cyber-physical smart manufacturing systems as accelerators of value-added growth in Slovak exports

K Valaskova, M Nagy, S Zabojnik, G Lăzăroiu - Mathematics, 2022 - mdpi.com
Industry 4.0 integrates smart and connected production systems that are pivotal in predicting
and supporting production in real-time, leading to sustainable organizational performance …