Results 141 to 150 of about 3,356 (285)

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Fine Particulate Matter Constituents, Ozone, and Systemic Lupus Erythematosus: A Large General‐Population Cohort Analysis With Extended Quantile g‐Computation

Arthritis &Rheumatology, EarlyView.
Objective The aim of this study was to investigate whether exposure to mixture of individual fine particulate matter (PM2.5) chemical constituents is associated with incident systemic lupus erythematosus (SLE) and if ozone modifies this association and/or is associated with SLE onset.
Naizhuo Zhao, Sasha Bernatsky, Sharon Dowell, Brittany Banbury, Jeffrey R. Curtis, Grace C. Wright, Emily E. Holladay, Amy Mudano, Cristiano S. Moura, Gail S. Kerr   +9 more
wiley   +1 more source

ARTIFICIAL INTELLIGENCE APPLICATIONS IN AGRICULTURAL MACHINERY MANUFACTURING

International Refereed Journal of Engineering And Sciences, 2018
Mustafa Cem ALDAĞ, Bülent EKER
openaire   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye, Electo Eduardo Silva Lora, Rubenildo Vieira Andrade, Leonardo Peña Pupo, René Lesme Jaén, Osvaldo José Venturini   +5 more
wiley   +1 more source

A Framework for Advancing Intelligent Electrical Agricultural Machinery Technologies in Mountainous Regions

Journal of Electronic Research and Application
The complex terrain of the hilly and mountainous regions in southwestern China presents significant challenges to agricultural mechanization, resulting in a level that is markedly lower than the national average. Focusing on the key development needs for intelligent agricultural machinery in these areas.
openaire   +1 more source

Digital innovation for a greener future: the role of artificial intelligence in Europe's biofuel transition

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract This study investigates the relationship between artificial intelligence (AI) development and biofuel production using a balanced panel dataset of 12 European Union (EU) countries over the 2008–2024 period. Employing feasible generalized least squares (FGLS) estimation with distributed lag specifications, the analysis controls for Renewable ...
Tufan Sarıtaş, Emin Ahmet Kaplan, Yasin Büyükkör, Alper Aslan   +3 more
wiley   +1 more source

Real‐Time Biomass Estimation in High‐Density Yeast Fermentations Using Soft Sensor Modeling

Biotechnology and Bioengineering, EarlyView.
Accurate biomass measurements, both offline and online, are essential to improve prediction and control in yeast fermentation. This study develops regression‐based predictive models to correlate offline measurements (Dry Cell Weight and OD600 from a spectrophotometer) with online OD860 probe signals to provide accurate real‐time biomass estimations and
Ana G. Del Hierro, José Luis Checa‐Barrera, Juan A. Moreno‐Cid, Eoin Casey   +3 more
wiley   +1 more source

Development and Application of Electronic Differential Systems (EDS) for Enhanced Agricultural Machinery Performance

International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2023 -- 15 October 2023 through 17 October 2023 -- Marrakech -- 308429To increase productivity and efficiency, modern agriculture is becoming more and more ...
Can, İbrahİm, Hadj Baraka, Ibrahim, Bergor Beguiel, Brahim, El Mourabit, Anouar   +3 more
core   +1 more source

From compaction to coexistence: A review of chassis engineering for intelligent agricultural machinery in complex paddy field ecosystems. [PDF]

Sci Prog
Tang Z, Chu P, Ding Z, Fang M.
europepmc   +1 more source

Advances in causal discovery methods for ecological time series

Biological Reviews, EarlyView.
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki, Masato Yamamichi, Yutaka Osada, Masayuki Ushio, Kohei Nakajima, Hiroshi Masuya, Shohei Shimizu   +6 more
wiley   +1 more source