Results 51 to 60 of about 30,817 (217)
Adaptive-Neuro-Fuzzy-Based Information Fusion for the Attitude Prediction of TBMs
Sensors, 2020 In a tunneling boring machine (TBM), to obtain the attitude in real time is very important for a driver. However, the current laser targeting system has a large delay before obtaining the attitude.
Boning He +3 more
doaj +1 more source
, 2018 Most deterministic optimization models use average values of nondeterministic variables as their inputs. It is, therefore, expected that a model that can accept the distribution of a random variable, while this may involve some more computational ...
M. Okwu, O. Adetunji
semanticscholar +1 more source
Nano Select, Volume 7, Issue 8, August 2026.ABSTRACT Polyvinylidene Flouride (PVDF)‐based hybrid metal oxides have emerged as significant materials in the domain of wastewater treatment. This review article provides a comprehensive outline of the synthesis, properties, and applications of PVDF‐based hybrid metal oxide composites with a focus on their enhanced performance in wastewater treatment ...
Danish Umer +9 more
wiley +1 more source
Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.ABSTRACT The inaccuracy of cost, effort, and schedule estimates remains one of the primary factors associated with failures in software development projects, particularly in contexts characterized by high complexity and frequent changes in requirements.
Rodolfo Barbosa dos Santos +1 more
wiley +1 more source
Adaptive Neuro-Fuzzy Inference System (ANFIS) for Controlling Level and Pressure on Deaerator
TEKNIK, 2019 DDeaerator is one of the most widely used plants in the chemical industry and marine steam power plant. Deaerator is used to eliminate oxygen in water that enters the boiler to avoid corrosion of the boiler pipes. Control of pressure and level in deaerator needs to be done to keep the process well.
Sumardi Sumardi +2 more
openaire +1 more source
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, Volume 14, Issue 7, Page 3508-3526, July 2026.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION
Facta Universitatis. Series: Mechanical Engineering, 2016 The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies.
Dalibor Petković +2 more
doaj +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
Deep Underground Science and Engineering, Volume 5, Issue 2, Page 446-464, June 2026.A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Structural Concrete, Volume 27, Issue 3, Page 4398-4415, June 2026.Abstract Fiber reinforced polymer (FRP) wrapping technology is commonly used to enhance the compressive strength (CS) of reinforced concrete (RC) members. Accurate prediction of the compressive strength of FRP‐confined concrete columns is crucial for optimizing structural design and helps reduce the time and costs associated with physical testing ...
XuanRui Yu +5 more
wiley +1 more source