Horticulture 4.0: Adoption of industry 4.0 technologies in horticulture for meeting sustainable farming

R Singh, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Applied Sciences, 2022 - mdpi.com
The United Nations emphasized a significant agenda on reducing hunger and protein
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …

[图书][B] Penerapan Decision Support System (Dss) Dalam Berbagai Bidang (Revolusi Industri 4.0 Menuju Era Society 5.0)

IGI Sudipa, LPI Kharisma, DV Waas, F Sari, MN Sutoyo… - 2023 - books.google.com
Buku PENERAPAN DECISION SUPPORT SYSTEM (DSS) DALAM BERBAGAI BIDANG (Era
Revolusi Industri 4.0 menuju dan Society 5.0) adalah panduan komprehensif dan terkini …

Artificial intelligence and financial decisions: Empirical evidence from developing economies

I Akour, M Alzyoud, E Alquqa, E Tariq… - … Journal of Data and …, 2024 - m.growingscience.com
Recent technological advancements are endless and have had a profound influence on
everyone in every part of life throughout the preceding decades. Artificial intelligence is one …

Artificial intelligence and carbon emissions in manufacturing firms: The moderating role of green innovation

Y Chen, S Jin - Processes, 2023 - mdpi.com
Carbon emissions have gained worldwide attention in the industrial era. As a key carbon-
emitting industry, achieving net-zero carbon emissions in the manufacturing sector is vital to …

Machine learning for membrane design in energy production, gas separation, and water treatment: a review

AI Osman, M Nasr, M Farghali, SS Bakr… - Environmental …, 2024 - Springer
Membrane filtration is a major process used in the energy, gas separation, and water
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …

[HTML][HTML] An explainable deep-learning approach for job cycle time prediction

YC Wang, T Chen, MC Chiu - Decision Analytics Journal, 2023 - Elsevier
Deep neural networks (DNNs) have been applied to predict the cycle times of jobs in
manufacturing accurately. However, the prediction mechanism of a DNN is complex and …

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.

S Bengesi, H El-Sayed, MK Sarker, Y Houkpati… - IEEE …, 2024 - ieeexplore.ieee.org
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …

Potential role and challenges of ChatGPT and similar generative artificial intelligence in architectural engineering

N Rane - Available at SSRN 4607767, 2023 - papers.ssrn.com
The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds
great potential in reshaping diverse facets of architectural engineering. This research …

Data-model fusion driven intelligent rapid response design of underwater gliders

M Yang, W Han, Y Song, Y Wang, S Yang - Advanced Engineering …, 2024 - Elsevier
Underwater glider (UG) is one of the most promising ocean observation platforms, which
involves multiple disciplines. Currently, the system design of UGs greatly relies on the time …

[HTML][HTML] Dry laboratories–Mapping the required instrumentation and infrastructure for online monitoring, analysis, and characterization in the mineral industry

Y Ghorbani, SE Zhang, GT Nwaila, JE Bourdeau… - Minerals …, 2023 - Elsevier
Dry laboratories (dry labs) are laboratories dedicated to using and creating data (they are
data-centric). Several aspects of the minerals industry (eg, exploration, extraction and …