Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
Sign Up to like & getrecommendations! Published in 2018 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-017-9610-2
Abstract: In the structure of ANFIS, there are two different parameter groups: premise and consequence. Training ANFIS means determination of these parameters using an optimization algorithm. In the first ANFIS model developed by Jang, a hybrid… read more here.
Keywords: network based; anfis training; training; based fuzzy ... See more keywords
Theoretical Analysis of the Underwater Incremental Adaptive Network Performance Based on the VLC Technology
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-020-07176-7
Abstract: In this paper, the underwater implementation of the incremental adaptive networks is proposed based on the visible light communication technology. The underwater distance between transmitter and receiver nodes and the salinity and temperature levels of… read more here.
Keywords: network; network performance; theoretical analysis; adaptive network ... See more keywords
Visualization of nanofluid flow field by adaptive-network-based fuzzy inference system (ANFIS) with cubic interpolation particle approach
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Visualization"
DOI: 10.1007/s12650-019-00623-z
Abstract: Abstract The interior of a square cavity containing nanofluid with copper (Cu) nanoparticles (NPs) was simulated by a computational fluid dynamics (CFD) method. The flow rate parameters were obtained with different directions of the computing… read more here.
Keywords: network based; system anfis; based fuzzy; fuzzy inference ... See more keywords
A scale adaptive network for crowd counting
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.032
Abstract: Abstract Scale variations occur frequently and present a great challenge for crowd counting in practical applications. In this paper, we propose a scale adaptive network to address the scale variation problem for crowd counting. We… read more here.
Keywords: scale adaptive; adaptive network; crowd counting;
Dynamics of epidemic diseases on a growing adaptive network
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep42352
Abstract: The study of epidemics on static networks has revealed important effects on disease prevalence of network topological features such as the variance of the degree distribution, i.e. the distribution of the number of neighbors of… read more here.
Keywords: diseases growing; network; disease; adaptive network ... See more keywords
Learning Based Adaptive Network Immune Mechanism to Defense Eavesdropping Attacks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2956805
Abstract: Encryption mechanisms improve the security of transmitting data. Nevertheless, attackers might silently eavesdrop packets to crack sensitive information or launch cyberattacks to damage the network performance of victims. In this paper, we propose a learning… read more here.
Keywords: eavesdropping attacks; learning based; based adaptive; adaptive network ... See more keywords
Breast Cancer Classification From Histopathological Images Using Resolution Adaptive Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3163822
Abstract: A histopathological analysis performed by pathologists plays a key role in the diagnosis of breast cancer. A novel approach based on an image processing technique is proposed to help pathologists efficiently produce accurate diagnoses, that… read more here.
Keywords: classification; adaptive network; breast cancer; resolution adaptive ... See more keywords
Adaptive Network Traffic Reduction on the Fly With Programmable Data Planes
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3255985
Abstract: Industrial networks rely on standard real-time communication protocols, such as ProfiNet RT. These real-time protocols use cyclic data exchange between IO devices and controllers. Each IO device reports its internal state to the controller at… read more here.
Keywords: network; adaptive network; traffic reduction; traffic ... See more keywords
Cross-Modality Manifold Adaptive Network for Industrial Multimode Processes and Its Applications
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2024.3472051
Abstract: In actual industrial scenarios, different operating modes and workloads can lead to multiple modes of working conditions, resulting in significantly diverse feature spaces. However, the heterogeneity and complexity among these modes pose a challenge to… read more here.
Keywords: manifold adaptive; modality manifold; cross modality; multimode ... See more keywords
NHARSO-IWSN: A Novel Hybridized Adaptive-Network-Based Fuzzy Inference System With Reptile Search Optimization Algorithm-Based Routing Protocol for Internet of Things-Enabled Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2024.3418845
Abstract: Advances in Internet of Things (IoT) technologies will facilitate smart cities and industrial applications. IoT-based applications rely on Wireless Sensor Networks (WSNs) for data transmission and sensing. Battery power is limited in IoT-enabled WSNs (IWSN)… read more here.
Keywords: routing protocol; nharso iwsn; sensor networks; internet things ... See more keywords
PSO-ANE: Adaptive Network Embedding With Particle Swarm Optimization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2019.2914935
Abstract: Network embedding plays an important role in various network applications, such as node classification and link prediction. Lots of structure-based network embedding methods have been proposed. Yet, they suffer from unsteady embedding performances due to… read more here.
Keywords: optimization; embedding particle; pso; network embedding ... See more keywords