Results 41 to 50 of about 18,271 (163)

Prediction of suction caissons behavior in cohesive soils using computational intelligence methods [PDF]

International Journal of Mining and Geo-Engineering, 2020
Compared to drag anchors, suction caissons (Q) in clays often provide a cost-effective alternative for jacket structures, catenary, tension leg moorings, and taut leg.
Hadi Fattahi, Hosnie Nazari
doaj   +1 more source

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems

Applied Water Science, 2018
In many hydraulic structures, side weirs have a critical role. Accurately predicting the discharge coefficient is one of the most important stages in the side weir design process. In the present paper, a new high efficient side weir is investigated.
Hossein Bonakdari, Amir Hossein Zaji
doaj   +1 more source

In Situ Curing‐Enabled 3D Printing of Continuous Fiber‐Reinforced Thermosetting Composites

Journal of Polymer Science, EarlyView.
In situ curing‐enabled the 3D printing of continuous fiber/thermoset composites, which were reviewed. Particularly, four types of in situ curing, were discussed, including Radiation‐induced curing, photothermal curing, electrothermal curing, and frontal polymerization. AI‐integrated printing was also analyzed.
Xiaofei Wu, Harrison Hayworth, Shiren Wang   +2 more
wiley   +1 more source

ANFIS Models for Heart Disease Prediction

, 2021
Coronary heart disease is the one of the most common diseases and a major cause of death internationally. The early detection and prediction of such disease is thus very important for human life.
Tianhua Chen, Song, Siyue, Song, S, Chen, T, Chen, Tianhua, Antoniou, G, Antoniou, Grigoris, Siyue Song, Grigoris Antoniou   +8 more
core   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

Sustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione, Renato Passaro, Matteo Tavano   +2 more
wiley   +1 more source

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies [PDF]

, 2022
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients.
Shoeibi, Afshin, Subasi, Abdulhamit, Gorriz, Juan M., Khodatars, Marjane, Alizadehsani, Roohallah, Zare, Assef, Moridian, Parisa, Acharya, U. Rajendra, Ghassemi, Navid, Khosravi, Abbas   +9 more
core   +1 more source

Comparative Analysis of ANFIS and State-ANFIS for Forecasting Cooking Oil Prices Based on Processed Palm Oil Yield (Crude Palm Oil)

Applied Computational Intelligence and Soft Computing
The adaptive neuro-fuzzy inference system (ANFIS) is widely employed in modeling intricate systems, especially in forecasting cooking oil prices.
Brodjol Sutijo Suprih Ulama, Fausania Hibatullah, Mochammad Reza Habibi, null Makkulau   +3 more
doaj   +1 more source

Predicting roof displacement of roadways in underground coal mines using adaptive neuro-fuzzy inference system optimized by various physics-based optimization algorithms

Journal of Rock Mechanics and Geotechnical Engineering, 2021
Due to the rapid industrialization and the development of the economy in each country, the demand for energy is increasing rapidly. The coal mines have to pace up the mining operations with large production to meet the energy demand. This requirement has
Chengyu Xie, Hoang Nguyen, Xuan-Nam Bui, Van-Thieu Nguyen, Jian Zhou   +4 more
doaj   +1 more source