Analysis of the factors affecting student performance using a neuro-fuzzy approach
Predicting students' academic performance and the factors that significantly influence it can
improve students' completion and graduation rates, as well as reduce attrition rates. In this …
improve students' completion and graduation rates, as well as reduce attrition rates. In this …
A neuro-fuzzy model for predicting and analyzing student graduation performance in computing programs
R Mehdi, M Nachouki - Education and Information Technologies, 2023 - Springer
Predicting student's successful completion of academic programs and the features that
influence their performance can have a significant effect on improving students' completion …
influence their performance can have a significant effect on improving students' completion …
The role of artificial intelligence in developing a banking risk index: an application of Adaptive Neural Network-Based Fuzzy Inference System (ANFIS)
Banking risk measurement and management remain one of many challenges for managers
and policymakers. This study contributes to the banking literature and practice in two ways …
and policymakers. This study contributes to the banking literature and practice in two ways …
Fuzzy rule-based and particle swarm optimisation MPPT techniques for a fuel cell stack
The negative environmental impact and the rapidly declining reserve of fossil fuel-based
energy sources for electricity generation is a big challenge to finding sustainable …
energy sources for electricity generation is a big challenge to finding sustainable …
Impact of corporate performance on stock price predictions in the UAE markets: Neuro‐fuzzy model
Predicting stock price remains one of the challenges for investors' investment strategies.
This study helps with accurate prediction and the main factors affecting variations in stock …
This study helps with accurate prediction and the main factors affecting variations in stock …
Comparing fuzzy rule-based MPPT techniques for fuel cell stack applications
The process of maximum power extraction from alternative energy systems was at the first
instance applied to systems such as photovoltaic and wind power technologies. Both …
instance applied to systems such as photovoltaic and wind power technologies. Both …
A distributed clustering algorithm guided by the base station to extend the lifetime of wireless sensor networks
AJ Yuste-Delgado, JC Cuevas-Martinez… - Sensors, 2020 - mdpi.com
Clustering algorithms are necessary in Wireless Sensor Networks to reduce the energy
consumption of the overall nodes. The decision of which nodes are the cluster heads (CHs) …
consumption of the overall nodes. The decision of which nodes are the cluster heads (CHs) …
LEACH-FIS: an improved LEACH based on fuzzy inference system in MWSNs
Y Zhou, H Zhang, L Zhang, B Tang… - 2018 IEEE/CIC …, 2018 - ieeexplore.ieee.org
Hierarchical clustering is an effective method to save energy in immobile WSNs. In last
decade, with the mobility applications of WSNs increasing rapidly, hierarchical clustering of …
decade, with the mobility applications of WSNs increasing rapidly, hierarchical clustering of …
A novel approach to detect respiratory phases from pulmonary acoustic signals using normalised power spectral density and fuzzy inference system
R Palaniappan, K Sundaraj, S Sundaraj… - The clinical …, 2016 - Wiley Online Library
Background Monitoring respiration is important in several medical applications. One such
application is respiratory rate monitoring in patients with sleep apnoea. The respiratory rate …
application is respiratory rate monitoring in patients with sleep apnoea. The respiratory rate …
A fuzzy neural approach for dynamic spectrum allocation in cognitive radio networks
GV Lakhekar, RG Roy - 2014 International Conference on …, 2014 - ieeexplore.ieee.org
In this paper, decision making scheme in cognitive radio is proposed by using fuzzy neural
system, due to which secondary users can utilizes the spectrum effectively with seamless …
system, due to which secondary users can utilizes the spectrum effectively with seamless …