The expanse among cluster heads & events, with the energy of clusters, is fuzzified in order to choose clusters for data uploading and fusing using fuzzy logic. The cluster heads apply the fugitive logic technique in confined resolution building as well, and the outcomes of the local decision-...
Momentous increase in the popularity of explainable machine learning models coupled with the dramatic increase in the use of synthetic data facilitates us to develop a cost-efficient machine learning model for fast intrusion detection and prevention at frontier areas using Wireless Sensor Networks (WSNs)...
The study directly fuzzified all BWM parameters. Furthermore, the authors used non-linear programming to arrive at the solution. However, their method may not always be capable of providing a global optimal solution [15]. Dong et al. [15] proposed a new fuzzy-BWM based on TFNs to solve...
example.com): groups page <-- page of group results (initial sync has lots of these!) rlm_perl: oauth2 worker (example.com): apply <-- process complete new data made live rlm_perl: oauth2 worker (example.com): syncing in 32 seconds <-- next sync ('ttl' scheduled with 33% fuzz...
-f, --fuzz ... randomly fuzz packets (off) -t, --threads ... number of sending threads (1) -a, --show-arp ... detect/print arp who_has (off) -i, --show-icmp ... detect/print icmps requests (off) -o, --show-options ... print lease infos (off) ...
Fuzzifier This stage transforms the inputs or crisp numbers into fuzzy sets. Sensors can be used to measure the crisp inputs and forward them to the control system for further processing94. Inference engine It quantifies the degree to which fuzzy input and rules are consistent. It will deter...
Moreover, the wearable devices captured the patient’s motion signals in real time, transmitted them to a wireless receiver via the ZigBee protocol, and saved them on a computer. The enrolled subjects participated in two data collection sessions, the first at baseline and the second at discharge...
Later on, the fuzzy rule will infer the fuzzified data and then the inferred data will be defuzzified to obtain IAQI 1, IAQI 2, TCI 1, and TCI 2 values. Finally, the EIAQI value will be summed by the four cluster index values. The output system will be turned ON/OFF according ...
13th International Wireless Communications and Mobile Computing Conference (IWCMC), Valencia 1285–1290 https://doi.org/https://doi.org/10.1109/IWCMC.2017.7986470 Sun Y, Xue B, Zhang M, Yen GG (2018) An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. IEEE Congress ...
The only difference between them is the way the fuzzy output is defuzzified [32]. This paper focuses on using Mamdani inference, which is one of the most popular techniques in fuzzy logic, to design a weather analysis model. The Mamdani system consists of IF-THEN rules that define how ...