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 …

A review on the hybridization of fuzzy systems and machine learning techniques

R Prasad, PK Shukla - Computer Vision and Robotics: Proceedings of …, 2022 - Springer
Fuzzy systems are used in modeling and implementation of many real-world applications
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 …

Identification of Ischemic Stroke Origin Using Machine Learning Techniques

R Prasad, PK Shukla - Advances in Data-driven Computing and Intelligent …, 2023 - Springer
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 …

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 …

MOBI-CLASS: A fuzzy knowledge-based system for mobile handset classification

P Chandra, D Agarwal, PK Shukla - Soft Computing for Problem Solving …, 2019 - Springer
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 …

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 …

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 …

Mobile handset selection using evolutionary multi-objective optimization considering the cost and quality parameters

A Tiwari, VK Singh, PK Shukla - … in Computing and Data Sciences: Second …, 2018 - Springer
Multi-objective optimization is a mathematical framework to deal with conflicting objectives
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 …