Results 31 to 40 of about 4,688 (196)

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

Intelligent Pitch Angle Control Based on Gain-Scheduled Recurrent ANFIS [PDF]

Journal of Renewable Energy and Environment, 2019
The effective utilization of wind energy conversion system )WECS( is one of the most crucial concerns for the development of renewable energy systems. In order to achieve appropriate wind power, different pitch angle methods are used.
Ehsan Hosseini, Ehsan Aghadavoodi, Ghazanfar Shahgholian, Homayoun Mahdavi-Nasab   +3 more
doaj   +1 more source

Comparative Study Analysis of ANFIS and ANFIS-GA Models on Flow of Vehicles at Road Intersections

Applied Sciences, 2023
In the last two decades the efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections and it is among the many advantages of applying intelligent transportation systems in road ...
Isaac Oyeyemi Olayode, Lagouge Kwanda Tartibu, Frimpong Justice Alex   +2 more
doaj   +1 more source

Mapping the Cerebral Organoid Landscape: A Systematic Review of Preclinical 3D Models in Neuroscience

Advanced Healthcare Materials, EarlyView.
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram, Vanessa Arnold, Maik Wolfram‐Schauerte, Anastassiya Moskalchuk, Caroline Trust, Marie Vontz, Mona Scheurenbrand, Vijayasarathy Sampath‐Kumar, Sogand Ahari, Carlos Romero‐Nieto, Lisa Sevenich   +10 more
wiley   +1 more source

ANFIS for analysis friction factor and Nusselt number of pulsating nanofluids flow in the fluted tube under magnetic field

Case Studies in Thermal Engineering, 2020
Application of adaptive neuro-fuzzy inference system to analyze friction factor and the Nusselt number of pulsating nanofluids in the helically corrugated tube with magnetic field effect is presented.
P. Naphon, T. Arisariyawong, S. Wiriyasart, A. Srichat   +3 more
doaj   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Diagnosing Silicosis Using Adaptive Neuro-Fuzzy Inference System

, 2022
Abstract Early diagnosis of disease such as Silicosis generally increases the chances for successful treatment by focusing on detecting symptomatic patients as early as possible. Early diagnosis is important for life-saving. In this study, we use an Adaptive Neuro-Fuzzy Inference System to evaluate the possibility of silica exposure leading to ...
Deniz Boz Eravcı, Babek Erdebilli (B.D Rouyendegh)   +1 more
openaire   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source

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

Advanced Intelligent Systems, EarlyView.
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

Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller

Gazi Üniversitesi Fen Bilimleri Dergisi, 2019
In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller.
Ö. Fatih KEÇECİOĞLU, Erdal KILIÇ
doaj   +1 more source