Energy management strategy for plug-in hybrid electric vehicles based on driving condition recognition: a review
C Liu, Y Liu - Electronics, 2022 - mdpi.com
Appropriate energy management strategies (EMSs) have been selected for plug-in hybrid
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
electric vehicles (PHEVs) based on driving-condition recognition (DCR) according to the …
A review on the hybridization of fuzzy systems and machine learning techniques
Fuzzy systems are used in modeling and implementation of many real-world applications
operating under an imprecise and uncertain environment. Such systems have effective …
operating under an imprecise and uncertain environment. Such systems have effective …
Development of fuzzy knowledge-based system for water quality assessment in river ganga
PK Shukla - Soft Computing for Problem Solving 2019: Proceedings …, 2020 - Springer
Rivers are playing an important role in human life and wildlife but due to pollution the quality
of river water is extremely deteriorated. The assessment of water quality is a very …
of river water is extremely deteriorated. The assessment of water quality is a very …
Identification of Ischemic Stroke Origin Using Machine Learning Techniques
An ischemic stroke arises as a result of atherosclerosis. It promotes tissue and cholesterol
accumulation in the vascular system. When a large amount of plaque collects in one region …
accumulation in the vascular system. When a large amount of plaque collects in one region …
Interpretability and accuracy issues in evolutionary multi-objective fuzzy classifiers
PK Shukla, SP Tripathi - International Journal of Soft …, 2016 - inderscienceonline.com
Fuzzy systems have remarkable capability to deal with imprecise and uncertain information
existing in the real world complex problems. Evolutionary approaches, ie, genetic algorithms …
existing in the real world complex problems. Evolutionary approaches, ie, genetic algorithms …
MOBI-CLASS: A fuzzy knowledge-based system for mobile handset classification
Fuzzy logic is a technique that provides a mathematical framework to deal with imprecise
and uncertain information existing in the real-world decision-making systems. The objective …
and uncertain information existing in the real-world decision-making systems. The objective …
Rainfall Prediction Using Fuzzy Systems
F Azad, PK Shukla - International Conference on Artificial Intelligence on …, 2023 - Springer
Rainfall prediction is important because it is an influential meteorological parameter that can
directly affect human life. Heavy or unpredicted rainfall can lead to many disasters like …
directly affect human life. Heavy or unpredicted rainfall can lead to many disasters like …
Enriching Big Data Intrusion Detection and Service Through Mapping and Parallel Computation
K Roy, R Deshmukh - International Conference on Artificial Intelligence on …, 2023 - Springer
Large-scale analysis of data requires a significant amount of computing power and
resources, so the vast and flexible interpreting, preservation, and remote servers that cloud …
resources, so the vast and flexible interpreting, preservation, and remote servers that cloud …
Mobile handset selection using evolutionary multi-objective optimization considering the cost and quality parameters
Multi-objective optimization is a mathematical framework to deal with conflicting objectives
simultaneously. Evolutionary algorithms are extremely useful in implementing multi …
simultaneously. Evolutionary algorithms are extremely useful in implementing multi …
[PDF][PDF] A survey on the design of fuzzy classifiers using multi-objective evolutionary algorithms
PK Dwivedi, SP Tripathi - … Journal of Science and Research (IJSR), 2015 - academia.edu
Fuzzy systems have been used in many fields like data mining, regression, patter
recognition, classification and control due to their property of handling uncertainty and …
recognition, classification and control due to their property of handling uncertainty and …