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Computer Science

D-Index
34
Citations
6234
World Ranking
12029
National Ranking
22

Overview

Salih Güneş is affiliated with Konya Technical University in Turkey. Their research primarily focuses on engineering and computer science, with notable contributions across several subfields. These include electrical and electronic engineering, computer networks and communications, computer vision and pattern recognition, neurology, and cognitive neuroscience.

The main topics covered in their work span sensor technology and measurement systems, electrical and bioimpedance tomography, advanced electrical measurement techniques, brain tumor detection and classification, EEG and brain-computer interfaces, advanced neural network applications, and analog and mixed-signal circuit design.

Salih Güneş has coauthored papers with several frequent collaborators. These include Mehmet Akif Erişmiş, Mehmet Demirtaş, Melahat Poyraz, Ahmet Kürşad Poyraz, and Yusuf Doğan.

The scientist's publications appear in varied venues such as Cognitive Neurodynamics, SN Applied Sciences, Elektronika ir Elektrotechnika, the 2020 Innovations in Intelligent Systems and Applications Conference (ASYU), and The Eurasia Proceedings of Science Technology Engineering and Mathematics.

Recent papers authored or coauthored by Salih Güneş include:

  • Analysis and design of a transimpedance amplifier based front-end circuit for capacitance measurements, 2020, SN Applied Sciences
  • BrainNeXt: novel lightweight CNN model for the automated detection of brain disorders using MRI images, 2025, Cognitive Neurodynamics
  • A Lossy Capacitance Measurement Circuit Based on Analog Lock-in Detection, 2020, Elektronika ir Elektrotechnika
  • Performance optimization of a Front-End Circuit for Capacitance Measurements using Grey Wolf Algorithm, 2020, 2020 Innovations in Intelligent Systems and Applications Conference (ASYU)
  • Implementation of an Augmented Reality Application for Basic Electrical Circuits, 2022, The Eurasia Proceedings of Science Technology Engineering and Mathematics

Best Publications

  • Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform

    Kemal Polat;Salih Güneş

  • An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease

    Kemal Polat;Salih Güneş

  • Breast cancer diagnosis using least square support vector machine

    Kemal Polat;Salih Güneş

  • A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine

    Kemal Polat;Salih Güneş;Ahmet Arslan

  • A novel hybrid intelligent method based on C4.5 decision tree classifier and one-against-all approach for multi-class classification problems

    Kemal Polat;Salih Güneş

  • Efficient sleep stage recognition system based on EEG signal using k-means clustering based feature weighting

    Salih Güneş;Kemal Polat;Şebnem Yosunkaya

  • A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis

    Seral Şahan;Kemal Polat;Halife Kodaz;Salih Güneş

  • A new feature selection method on classification of medical datasets: Kernel F-score feature selection

    Kemal Polat;Salih Güneş

  • Detection of ECG Arrhythmia using a differential expert system approach based on principal component analysis and least square support vector machine

    Kemal Polat;Salih Güneş

  • Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals

    Kemal Polat;Salih Güneş

  • Automatic detection of heart disease using an artificial immune recognition system (AIRS) with fuzzy resource allocation mechanism and k-nn (nearest neighbour) based weighting preprocessing

    Kemal Polat;Seral Şahan;Salih Güneş

  • A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia

    Kemal Polat;Seral Şahan;Salih Güneş

  • Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing

    Kemal Polat;Salih Güneş;Sülayman Tosun

  • A novel hybrid method based on artificial immune recognition system (AIRS) with fuzzy weighted pre-processing for thyroid disease diagnosis

    Kemal Polat;Seral Şahan;Salih Güneş

  • Breast cancer and liver disorders classification using artificial immune recognition system (AIRS) with performance evaluation by fuzzy resource allocation mechanism

    Kemal Polat;Seral Şahan;Halife Kodaz;Salih Güneş

  • Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease

    Halife Kodaz;Seral Özşen;Ahmet Arslan;Salih Güneş

  • A hybrid approach to medical decision support systems: Combining feature selection, fuzzy weighted pre-processing and AIRS

    Kemal Polat;Salih Güneş

  • The medical applications of attribute weighted artificial immune system (AWAIS): diagnosis of heart and diabetes diseases

    Seral Şahan;Kemal Polat;Halife Kodaz;Salih Güneş

  • Computer aided diagnosis of ECG data on the least square support vector machine

    Kemal Polat;Bayram Akdemir;Salih Güneş

  • Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation

    Kemal Polat;Salih Güneş

Frequent Co-Authors

Kemal Polat
Kemal Polat Abant Izzet Baysal University

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