Results 71 to 80 of about 40,966 (267)
Adaptive neuro-fuzzy technique for autonomous ground vehicle navigation [PDF]
, 2014 This article proposes an adaptive neuro-fuzzy inference system (ANFIS) for solving navigation problems of an autonomous ground vehicle (AGV). The system consists of four ANFIS controllers; two of which are used for regulating both the left and right ...
De Berg, Garrido, Khelchandra, Nonami
core +2 more sources
Forecasting Carbon Prices: A Literature Review
Journal of Forecasting, EarlyView.ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
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 +4 more
doaj +1 more source
Industrial process monitoring by means of recurrent neural networks and Self Organizing Maps [PDF]
, 2016 Industrial manufacturing plants often suffer from reliability problems during their day-to-day operations which have the potential for causing a great impact on the effectiveness and performance of the overall process and the sub-processes involved ...
Cariño Corrales, Jesús Adolfo +4 more
core +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
Remote Sensing, 2022 Wildfire is essential in altering land ecosystems’ structures, processes, and functions. As a critical disturbance in the China–Mongolia–Russia cross-border area, it is vital to understand the potential drivers of wildfires and predict where wildfires ...
Yuheng Li +6 more
doaj +1 more source
Brain Tumor Classification and Identification using PSO and ANFIs [PDF]
, 2023 J. S. Awati, Mahesh Kumbhar
openalex +1 more source
Bayesian Neural Network Prediction and Uncertainty Analysis of Bio‐Cemented Soil Strength
International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.ABSTRACT Microbially induced carbonate precipitation (MICP) has emerged as a promising ground improvement technique, with MICP‐treated soils exhibiting substantial enhancements in strength. However, experimental results revealed significant variability in strength outcomes of MICP‐treated soils, even under identical treatment conditions and soil ...
Aoxi Zhang +4 more
wiley +1 more source
The Engineering Economist, 2016 ABSTRACTCost function estimation is vital for decision-making in project management. In this article, a novel cost estimator is investigated based on an adaptive neuro-fuzzy inference system (ANFIS). In the numerical studies, ANFIS is tested to modeling pressure vessel cost as a case study.
Ehsan Lotfi, M. Darini, M. R. Karimi-T.
openaire +2 more sources
Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, EarlyView.ABSTRACT The treatment of migraine is hampered by inter‐individual variability, leading to an inefficient “trial and error” approach. Artificial intelligence (AI) and machine learning (ML) offer a path towards precision medicine by predicting therapeutic outcomes.
Martina Giacon, Salvatore Terrazzino
wiley +1 more source