Results 51 to 60 of about 4,961 (191)

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley   +1 more source

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

Employment of a Least Square Support Vector Regression Model for Predicting the Gasification Process [PDF]

Advances in Engineering and Intelligence Systems
Biomass fuels, with minimal sulfur content, lower ash production, and reduced emissions, offer a reliable alternative to fossil fuels. The global requirements to decrease dependencies on imported energy and conserve fossil reserves highlight the ...
Afshar Shokri, Farzad Hamrang, Mortaza Yari   +2 more
doaj   +1 more source

Interpreting the structure–function relationship in high myopia‐associated glaucoma: A review

Acta Ophthalmologica, EarlyView.
Abstract Visual field (VF) interpretation in high myopia‐associated glaucoma (HMG) is challenging due to frequent structure–function discordance and coexisting myopia‐related changes. These changes may reduce the reliability of conventional structure–function mapping and increase the risk of misclassifying non‐glaucomatous VF abnormalities as ...
Ruby S. Chan, Ya Xing Wang, Jin Wook Jeoung, Jost B. Jonas, Minxin Liu, Ching‐Yu Cheng, Rachel S. Chong   +6 more
wiley   +1 more source

A Proposal of an Adaptive Neuro-Fuzzy Inference System for Modeling Experimental Data in Manufacturing Engineering

Mathematics, 2020
In Manufacturing Engineering there is a need to be able to model the behavior of technological variables versus input parameters in order to predict their behavior in advance, so that it is possible to determine the levels of variation that lead to ...
C. J. Luis Pérez
doaj   +1 more source

ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey

International Journal of Computer Applications, 2015
paper, we presented the architecture and basic learning process underlying ANFIS (adaptive-network-based fuzzy inference system) which is a fuzzy inference system implemented in the framework of adaptive networks. Soft computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behavior.
Anurag Sharma, Harsukhpreet Singh, Navneet Walia   +2 more
openaire   +1 more source

Challenges and Strategies in Interviewing People With Acquired Brain Injury and Communication Impairment in Qualitative Interview Studies: A Secondary Analysis of Interview Data

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aims To explore challenges involved in designing and conducting qualitative interviews with people with communication impairment due to acquired brain injury, as well as analysing data from such interviews, and to map strategies used to facilitate participation. Design Secondary analysis of qualitative interview data.
Henrietta Gustavsson, Eva Jangland, Lena Nyholm   +2 more
wiley   +1 more source

Enhanced distance protection for HVDC lines using adaptive neuro-fuzzy inference systems.

PLoS ONE
Accuracy and speed of fault detection are crucial to the performance of DC transmission systems. In this paper, a novel approach is proposed for fault detection, classification, and localization in high-voltage DC transmission lines (HVDC-TLs).
A M Hamada, M I Abdel-Fattah, Ali M El-Rifaie, Fahmi Elsayed, Mohsen A M El-Bendary, Tamer A A Ismail, Ijaz Ahmed, M M R Ahmed   +7 more
doaj   +1 more source

Adaptive neuro fuzzy inference system for profiling of the atmosphere [PDF]

, 2014
Abstract. Retrieval of accurate profiles of temperature and water vapor is important for the study of atmospheric convection. However, it is challenging because of the uncertainties associated with direct measurement of atmospheric parameters during convection events using radiosonde and retrieval of remote-sensed observations from satellites.
K. Ramesh, A. P. Kesarkar, J. Bhate, M. Venkat Ratnam, A. Jayaraman   +4 more
openaire   +1 more source