Results 1 to 10 of about 1,411 (125)

Developing AI/ML Based Predictive Capabilities for a Compression Ignition Engine Using Pseudo Dynamometer Data

Energies, 2022
Energy and power demands for military operations continue to rise as autonomous air, land, and sea platforms are developed and deployed with increasingly energetic weapon systems. The primary limiting capability hindering full integration of such systems
Robert Jane, Tae Young Kim, Samantha Rose, Emily Glass, Emilee Mossman, Corey James   +5 more
doaj   +2 more sources

Predicting wildfires triggered by human-caused ignition: A spatial framework integrating AI models

Ecological Informatics
Human-caused ignitions—including agricultural residue burning, land clearing, and various open-fire practices—are now a major contributor to wildfire occurrence in South Korea, accounting for more than 40% of recent events and concentrating along rapidly
Sujung Heo, Sujung Ahn
doaj   +3 more sources

Inferring Wildfire Ignition Causes in Spain Using Machine Learning and Explainable AI

Fire
A substantial proportion of wildfires in Mediterranean regions continue to be recorded without information about the cause or source of ignition, limiting our ability to understand ignition drivers and design effective prevention strategies.
Clara Ochoa, Magí Franquesa, Marcos Rodrigues, Emilio Chuvieco   +3 more
doaj   +3 more sources

AI based optimization of injection pressure for hydrogen and spirogyra biodiesel dual fuel engine to enhance combustion performance and emission characteristics [PDF]

Scientific Reports
The principal objective of this research is to employ modern machine learning techniques to optimize high-pressure biofuel injection strategies for sustainable energy applications.
S. Aravind, Debabrata Barik, Prabhu Paramasivam, Dhinesh Balasubramanian, Utku Kale, Artūras Kilikevičius   +5 more
doaj   +2 more sources

Model experiments and theory of flame front propagation in forest fire [PDF]

Scientific Reports
To quantify how inter-source spacing (“spatial step”), inclination angle (slope), and wind affect flame-propagation velocity, model experiments were conducted in the present work.
Alexander L. Yarin, Wenshuo Zhang, Eyal Zussman   +2 more
doaj   +2 more sources

Accelerating Thermally Safe Operating Area Assessment of Ignition Coils for Hydrogen Engines via AI-Driven Power Loss Estimation

Vehicles
In order to determine thermally safe driving parameters of ignition coils for hydrogen internal combustion engines (ICE), a reliable estimation of internal power losses is essential. These losses include resistive winding losses, magnetic core losses due
Federico Ricci, Mario Picerno, Massimiliano Avana, Stefano Papi, Federico Tardini, Massimo Dal Re   +5 more
doaj   +2 more sources

Data-driven simulation of ammonia combustion using neural ordinary differential equations (NODE)

Applications in Energy and Combustion Science, 2023
The direct use of detailed chemical kinetics in combustion simulations is limited by the extremely high computational costs. Recently, Owoyele and Pal (Energy and AI, 2022), proposed the neural ordinary differential equations (NODE) method to accelerate ...
Manabu Saito, Jiangkuan Xing, Jun Nagao, Ryoichi Kurose   +3 more
doaj   +1 more source

Artificial neural networks vs. gene expression programming for predicting emission & engine efficiency of SI operated on blends of gasoline-methanol-hydrogen fuel

Case Studies in Thermal Engineering, 2023
While retaining environmental friendliness, robust modelling and enhancing spark ignition engine efficacy can be done using improved innovative fuel and unconventional robust hybrid tools.
Chao-zhe Zhu, Olusegun D. Samuel, Noureddine Elboughdiri, Mohamed Abbas, C Ahamed Saleel, Nataraj Ganesan, Christopher C. Enweremadu, H. Fayaz   +7 more
doaj   +1 more source

A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents

Big Data and Cognitive Computing, 2023
To constructively ameliorate and enhance traffic safety measures in Saudi Arabia, a prolific number of AI (Artificial Intelligence) traffic surveillance technologies have emerged, including Saher, throughout the past years.
Mohammed Imran Basheer Ahmed, Rim Zaghdoud, Mohammed Salih Ahmed, Razan Sendi, Sarah Alsharif, Jomana Alabdulkarim, Bashayr Adnan Albin Saad, Reema Alsabt, Atta Rahman, Gomathi Krishnasamy   +9 more
doaj   +1 more source

On the Hazard Caused by the Heat of Acupuncture Needles in Warm Needling (溫針Wēn Zhēn)

Journal of Traditional and Complementary Medicine, 2013
Due to its simplicity and convenience, acupuncture has become popular as a complementary therapy. In this Chinese medicine, doctors have to find the traditional meridian acupuncture points before puncturing the needles into them.
Tsung-Chieh Lee, Tsung-Lin Cheng, Wen-Jiuan Chen, Lun-Chien Lo   +3 more
doaj   +1 more source