Results 51 to 60 of about 17,157 (222)

Computational intelligence model for predicting the compressive strength of FRP‐confined concrete column

Structural Concrete, EarlyView.
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, Nima Khodadadi, Anxiang Song, Tianyu Hu, Yang Yu, Antonio Nanni   +5 more
wiley   +1 more source

Response Simulation, Data Cleansing and Restoration of Dynamic and Static Measurements Based on Deep Learning Algorithms

International Journal of Concrete Structures and Materials, 2018
In this study, an output-based neuro controller was built based on the idea of the adaptive neuro-fuzzy inference system (ANFIS) and its capabilities in response simulation, data cleansing and restoration capability were verified using measurement data ...
Seok-Jae Heo, Zhang Chunwei, Eunjong Yu
doaj   +1 more source

Prediction in Photovoltaic Power by Neural Networks [PDF]

, 2017
The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa, Araneo, Rodolfo, Panella, Massimo, Rosato, Antonello   +3 more
core   +1 more source

Predicting ERP User Satisfaction―an Adaptive Neuro Fuzzy Inference System (ANFIS) Approach

Intelligent Information Management, 2010
ERP projects’ failing to meet user expectations is a serious problem. This research develops an Adaptive Neuro Fuzzy Inference System (ANFIS) model, to predict the key ERP outcome “User Satisfaction” using causal factors present during an implementation as predictors.
Chengaleth Venugopal, Siva Prasanna Devi, Kavuri Suryaprakasa Rao   +2 more
openaire   +2 more sources

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]

This paper, we studied the ability of geostatistical models (ordinary kriging (OK) and Inverse distance weighting (IDW)), adaptive neuro-fuzzy inference system (ANFIS) and Winter method for prediction of seasonality in prices of potatoes and onions in ...
Amiri, Arshia, Bakhshoodeh, Mohamad, Najafi, Bahaeddin   +2 more
core   +4 more sources

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, Guoli Zhu, Lei Han, Dailin Zhang   +3 more
doaj   +1 more source

The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

, 2014
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed, Abdulshahed, Ali M. Abdulshahed, Andrew P. Longstaff, Arosha Senanayake, Bezdek, Bryan, Chen, Deng, Dunn, Guillaume, Han, Han, Jain, Jang, Kar, Karahoca, Lee, Li, Liu, Mayr, Melin, Mian, Park, Postlethwaite, Ramesh, Rizal, Simon Fletcher, Soto, Soto, Tan, Velmurugan, Wang, Wei, Yan, Özkan   +35 more
core   +1 more source

Nanoarchitectonics of Activated Carbon Materials for Supercapacitors and Hydrogen Storage Applications

Battery Energy, Volume 5, Issue 3, May 2026.
Advanced activated carbons with high capacitance for supercapacitors and substantial hydrogen storage, underscoring their promise for multifunctional energy systems. ABSTRACT Activated carbon (AC) materials, characterized by their high surface area, diverse pore structure, and excellent electrical conductivity, have proven to be highly efficient and ...
Monjur Mourshed, Shah Tanvir Alam Rimon, Bidyut Baran Saha, Bahman Shabani   +3 more
wiley   +1 more source