User profiles for Parvaneh Esmaili
Parvaneh esmailiAssistant Professor. Computer Engineering, Cyprus International University Verified email at ciu.edu.tr Cited by 428 |
[PDF][PDF] Estimation of water quality index using artificial intelligence approaches and multi-linear regression
Water quality index is a measure of water quality at a certain location and over a period of
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …
time. High value indicates that the water is unsafe for drinking and inadequate in quality to …
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …
The traditional methods of water quality index (WQI) analysis are time-consuming and …
Deep learning for two-step classification of malignant pigmented skin lesions
S Kaymak, P Esmaili, A Serener - 2018 14th Symposium on …, 2018 - ieeexplore.ieee.org
Skin cancer is one of the most common types of cancer. Its early detection drastically improves
outcomes and saves human lives. Well known skin cancer types are melanoma, basal …
outcomes and saves human lives. Well known skin cancer types are melanoma, basal …
Analysis of tuberculosis model with saturated incidence rate and optimal control
We study a basic tuberculosis model using saturated incidence rate. Incorporated in the
model is the therapeutic treatments given to infected individuals. Global stability of both the …
model is the therapeutic treatments given to infected individuals. Global stability of both the …
Modeling of Bunus regional sewage treatment plant using machine learning approaches
Certain aspects of the dynamics of wastewater treatment plants appear to be chaotic, which
makes modeling of the process of wastewater treatment plants extremely difficult. An …
makes modeling of the process of wastewater treatment plants extremely difficult. An …
A Mathematical Model to Study the Effectiveness of Some of the Strategies Adopted in Curtailing the Spread of COVID‐19
In this paper, we developed a model that suggests the use of robots in identifying COVID‐19‐positive
patients and which studied the effectiveness of the government policy of …
patients and which studied the effectiveness of the government policy of …
Hybrid source multi-port Quasi-Z-Source converter with fuzzy-logic-based energy management
In this paper, a fuzzy-logic-based energy management system and a multi-port quasi-z-source
converter that utilizes hybrid renewable energy sources are proposed. The system …
converter that utilizes hybrid renewable energy sources are proposed. The system …
Metro-environmental data approach for the prediction of chemical oxygen demand in new Nicosia wastewater treatment plant
This study aimed at employing three data-driven models, namely the Hammerstein–Weiner (HW)
model, support vector machine (SVM), and feedforward back propagation neural …
model, support vector machine (SVM), and feedforward back propagation neural …
[PDF][PDF] Forecasting of daily rainfall at Ercan Airport Northern Cyprus: a comparison of linear and non-linear models
Forecasting of complex and chaotic phenomena such as rainfall is very challenging. Prediction
of precipitation in airports helps agencies responsible for air traffic control in terms of …
of precipitation in airports helps agencies responsible for air traffic control in terms of …
Detecting emotions through EEG signals based on modified convolutional fuzzy neural network
Emotion is a human sense that can influence an individual’s life quality in both positive and
negative ways. The ability to distinguish different types of emotion can lead researchers to …
negative ways. The ability to distinguish different types of emotion can lead researchers to …