M
Muhammad Fayaz
Researcher at University of Central Asia
Publications - 83
Citations - 1032
Muhammad Fayaz is an academic researcher from University of Central Asia. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 12, co-authored 72 publications receiving 446 citations. Previous affiliations of Muhammad Fayaz include Jeju National University.
Papers
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Journal ArticleDOI
A Prediction Methodology of Energy Consumption Based on Deep Extreme Learning Machine and Comparative Analysis in Residential Buildings
Muhammad Fayaz,Do-Hyeun Kim +1 more
TL;DR: The results indicate that the performance of DELM is far better than ANN and ANFIS for one-week and one-month hourly energy prediction on the given data.
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Machine learning-based EEG signals classification model for epileptic seizure detection
TL;DR: This paper focuses on extracting the most discriminating and distinguishing features of seizure EEG recordings to develop an approach that employs both fuzzy-based and traditional machine learning algorithms for epileptic seizure detection, and proposes a framework that classifies unknown EEG signal segments into ictal and interictal classes.
Journal ArticleDOI
Energy Consumption Optimization and User Comfort Management in Residential Buildings Using a Bat Algorithm and Fuzzy Logic
Muhammad Fayaz,Do-Hyeun Kim +1 more
TL;DR: The bat algorithm is applied for energy optimization in residential buildings and it is proven from the experimental results that the proposed approach has been effectively successful in managing the whole energy consumption management system.
Journal ArticleDOI
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments
TL;DR: A detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes and detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort.
Journal ArticleDOI
A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments
TL;DR: A detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes is presented in this paper, where detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort.