Search Results - "Polat, Kemal"

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  1. 1

    Attention based CNN model for fire detection and localization in real-world images by Majid, Saima, Alenezi, Fayadh, Masood, Sarfaraz, Ahmad, Musheer, Gündüz, Emine Selda, Polat, Kemal

    Published in Expert systems with applications (01-03-2022)
    “…•A custom deep learning framework for detecting fire in real-world images.•Attention mechanism and transfer learning is used with EfficientNetB0…”
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    Journal Article
  2. 2

    Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform by Polat, Kemal, Güneş, Salih

    Published in Applied mathematics and computation (15-04-2007)
    “…The aim of this study is to detect epileptic seizure in EEG signals using a hybrid system based on decision tree classifier and fast Fourier transform (FFT)…”
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    Journal Article
  3. 3

    A novel classification framework using multiple bandwidth method with optimized CNN for brain–computer interfaces with EEG-fNIRS signals by Nour, Majid, Öztürk, Şaban, Polat, Kemal

    Published in Neural computing & applications (01-11-2021)
    “…The most effective way to communicate between the brain and electronic devices in the outside world is the brain–computer interface (BCI) systems. BCI systems…”
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    Journal Article
  4. 4

    A new feature selection method on classification of medical datasets: Kernel F-score feature selection by Polat, Kemal, Güneş, Salih

    Published in Expert systems with applications (01-09-2009)
    “…In this paper, we have proposed a new feature selection method called kernel F-score feature selection (KFFS) used as pre-processing step in the classification…”
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    Journal Article
  5. 5

    Spatio-temporal characterisation and compensation method based on CNN and LSTM for residential travel data by Alhudhaif, Adi, Polat, Kemal

    Published in PeerJ. Computer science (14-05-2024)
    “…Currently, most traffic simulations require residents' travel plans as input data; however, in real scenarios, it is difficult to obtain real residents' travel…”
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    Journal Article
  6. 6

    Residual block fully connected DCNN with categorical generalized focal dice loss and its application to Alzheimer's disease severity detection by Alhudhaif, Adi, Polat, Kemal

    Published in PeerJ. Computer science (24-10-2023)
    “…Alzheimer's disease (AD) is a disease that manifests itself with a deterioration in all mental activities, daily activities, and behaviors, especially memory,…”
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    Journal Article
  7. 7

    Novel hybrid DNN approaches for speaker verification in emotional and stressful talking environments by Shahin, Ismail, Nassif, Ali Bou, Nemmour, Nawel, Elnagar, Ashraf, Alhudhaif, Adi, Polat, Kemal

    Published in Neural computing & applications (01-12-2021)
    “…In this work, we conducted an empirical comparative study of the performance of text-independent speaker verification in emotional and stressful environments…”
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    Journal Article
  8. 8

    Particle swarm optimization based feature enhancement and feature selection for improved emotion recognition in speech and glottal signals by Muthusamy, Hariharan, Polat, Kemal, Yaacob, Sazali

    Published in PloS one (23-03-2015)
    “…In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that…”
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    Journal Article
  9. 9

    A Novel Multi-Task Learning Network Based on Melanoma Segmentation and Classification with Skin Lesion Images by Alenezi, Fayadh, Armghan, Ammar, Polat, Kemal

    Published in Diagnostics (Basel) (10-01-2023)
    “…Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer type. It is a very life-threatening disease with a high mortality rate…”
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    Journal Article
  10. 10

    An innovative approach to detecting the freshness of fruits and vegetables through the integration of convolutional neural networks and bidirectional long short-term memory network by Yuan, Yue, Chen, Jichi, Polat, Kemal, Alhudhaif, Adi

    Published in Current research in food science (01-01-2024)
    “…Fruit and vegetable freshness testing can improve the efficiency of agricultural product management, reduce resource waste and economic losses, and plays a…”
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    Journal Article
  11. 11

    Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm by Alhudhaif, Adi, Cömert, Zafer, Polat, Kemal

    Published in PeerJ. Computer science (23-02-2021)
    “…Otitis media (OM) is the infection and inflammation of the mucous membrane covering the Eustachian with the airy cavities of the middle ear and temporal bone…”
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    Journal Article
  12. 12

    A Novel Cuffless Blood Pressure Prediction: Uncovering New Features and New Hybrid ML Models by Nour, Majid, Polat, Kemal, Şentürk, Ümit, Arıcan, Murat

    Published in Diagnostics (Basel) (28-03-2023)
    “…This paper investigates new feature extraction and regression methods for predicting cuffless blood pressure from PPG signals. Cuffless blood pressure is a…”
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    Journal Article
  13. 13

    Diagnosis of heart disease using artificial immune recognition system and fuzzy weighted pre-processing by Polat, Kemal, Güneş, Salih, Tosun, Sülayman

    Published in Pattern recognition (01-11-2006)
    “…This paper presents a novel method for diagnosis of heart disease. The proposed method is based on a hybrid method that uses fuzzy weighted pre-processing and…”
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    Journal Article
  14. 14

    A Novel Framework of Two Successive Feature Selection Levels Using Weight-Based Procedure for Voice-Loss Detection in Parkinson's Disease by Ashour, Amira S., Nour, Majid Kamal A., Polat, Kemal, Guo, Yanhui, Alsaggaf, Wafaa, El-Attar, Amira

    Published in IEEE access (2020)
    “…Parkinson's disease (PD) is one of the public neuro-degenerative disorders. Speech/voice disorder is considered one of the symptoms at an early stage. Acoustic…”
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    Journal Article
  15. 15

    A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain's Electrical Activity Signals by Küçükakarsu, Mustafa, Kavsaoğlu, Ahmet Reşit, Alenezi, Fayadh, Alhudhaif, Adi, Alwadie, Raghad, Polat, Kemal

    Published in Diagnostics (Basel) (01-02-2023)
    “…This study uses machine learning to perform the hearing test (audiometry) processes autonomously with EEG signals. Sounds with different amplitudes and…”
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    Journal Article
  16. 16

    RETRACTED ARTICLE: Automatic sleep staging in obstructive sleep apnea patients using photoplethysmography, heart rate variability signal and machine learning techniques by Uçar, Muhammed Kürşad, Bozkurt, Mehmet Recep, Bilgin, Cahit, Polat, Kemal

    Published in Neural computing & applications (01-04-2018)
    “…It is extremely significant to identify sleep stages accurately in the diagnosis of obstructive sleep apnea. In the study, it was aimed at determining sleep…”
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    Journal Article
  17. 17

    Computer aided diagnosis of ECG data on the least square support vector machine by Polat, Kemal, Akdemir, Bayram, Güneş, Salih

    Published in Digital signal processing (2008)
    “…In this paper we describe a technique that has successfully classified arrhythmia from an ECG dataset using a least square support vector machine (LSSVM)…”
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    Journal Article
  18. 18

    Similarity-based attribute weighting methods via clustering algorithms in the classification of imbalanced medical datasets by Polat, Kemal

    Published in Neural computing & applications (01-08-2018)
    “…In the fields of pattern recognition and machine learning, the use of data preprocessing algorithms has been increasing in recent years to achieve high…”
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    Journal Article
  19. 19

    Freezing of Gait (FoG) Detection Using Logistic Regression in Parkinson's Disease from Acceleration Signals by Polat, Kemal

    “…The detection and diagnosis of Parkinson disease (PD) are very important concerning the treatment of this disease. In this work, the freezing of gait (FoG)…”
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    Conference Proceeding
  20. 20

    Classification of Parkinson's disease using feature weighting method on the basis of fuzzy C-means clustering by Polat, Kemal

    Published in International journal of systems science (01-04-2012)
    “…This study presents the application of fuzzy c-means (FCM) clustering-based feature weighting (FCMFW) for the detection of Parkinson's disease (PD). In the…”
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    Journal Article