过去一年中添加的文章,按日期排序

Innovative Crop Development Vector

TE Marinchenko - elibrary.ru
121 天前 - achieving productive, socio-economic and environmental … Thus, there is a great
need to find efficient and sustainable … The application of artificial intelligence also provides an …

Comparative Analysis of Machine Learning Algorithms for Multi-Class Tree Species Classification Using Airborne LiDAR Data

G Airlangga - Brilliance: Research of Artificial Intelligence, 2024 - jurnal.itscience.org
127 天前 - … others, achieving accuracies of 0.81, … notable contributions of this research is the
demonstration of the effectiveness of machine learning in interpreting complex environmental

Towards Fiber-optics-based, Next-generation Observational Platforms for Investigating the Urban Subsurface: the InDySE Project

VR Tribaldos, C Krawczyk, L Ehsaninezhad… - 2024 - meetingorganizer.copernicus.org
128 天前 - … Urban sustainable development and improved resilience … One of the most significant
hurdles is the lack of adequate … faults underneath the city, obtaining high-resolution maps …

Systematic Review of Machine Learning Approaches in Forecasting Economic Growth and Enhancing Decent Work Opportunities: A Comprehensive Analysis

MT Shaker, H El-Batanouny… - … on Computing and …, 2024 - ieeexplore.ieee.org
129 天前 - … The path towards a sustainable and complete economy … , machine learning
has the potential to make significantArtificial Intelligence (AI) techniques for predicting the …

Exploring the potentials of artificial intelligence towards carbon neutrality: Technological convergence forecasting through link prediction and community detection

X Xi, J Zhao, L Yu, C Wang - Computers & Industrial Engineering, 2024 - Elsevier
137 天前 - … domain: Artificial Intelligence towards Carbon Neutrality (… focuses on achieving
low-carbon and green innovation through … the significance of intelligent medical applications for …

[HTML][HTML] Machine learning approaches to predict compressive strength of fly ash-based geopolymer concrete: A comprehensive review

M Rathnayaka, D Karunasinghe, C Gunasekara… - … and Building Materials, 2024 - Elsevier
137 天前 - … There has been significant recent research in the design … towards sustainable
cement-free concrete using fly ash. … ANFIS is an artificial intelligence technique which combines …

Maximizing microgrid resilience: A two-stage AI-Enhanced system with an integrated backup system using a novel hybrid optimization algorithm

MH Elkholy, M Elymany, S Ueda, IT Halidou… - Journal of Cleaner …, 2024 - Elsevier
140 天前 - artificial intelligence to enhance energy flow within the microgrid. The primary focus
is on ensuring the reliability, sustainability, … operating cost significantly, notably reaching a …

[PDF][PDF] Forecasting Prices of Agricultural Commodities using Machine Learning for Global Food Security: Towards Sustainable Development Goal 2

A Patil, D Shah, A Shah, R Kotecha - researchgate.net
140 天前 - … playing a significant role. Recognizing the potential of … to the efforts towards achieving
global food security. … developments in Artificial Intelligence (AI) and Machine Learning (ML…

[HTML][HTML] Harnessing artificial intelligence for data-driven energy predictive analytics: A systematic survey towards enhancing sustainability

TT Le, JC Priya, HC Le, NVL Le, MT Duong… - International Journal of …, 2024 - ijred.cbiore.id
144 天前 - Achieving comprehensive sustainability requires the … Artificial intelligence (AI), a
prominent machine learning paradigm, has gained significant traction in control applications

Towards the net zero carbon future: A review of blockchain‐enabled peer‐to‐peer carbon trading

M Parhamfar, I Sadeghkhani… - Energy Science & …, 2024 - Wiley Online Library
150 天前 - green energy transactions and carbon trading are introduced. In addition, the
application of artificial intelligence … can have a significant impact on the trend towards low‐carbon …