Yazar "Jamil, A." için listeleme
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Application of Adaptive Back-Propagation Neural Networks for Parkinson's Disease Prediction
Rasheed, J.; Hameed, A.A.; Ajlouni, N.; Jamil, A.; Ozyavas, A.; Orman, Z. (Institute of Electrical and Electronics Engineers Inc., 2020)Parkinson's disease (PD) is a common neurodegenerative disease that has affected millions of people worldwide and is more prevalent in older people. Early detection of this disease remains a challenging task. Recently, ... -
Classification of Epileptic Seizures using Artificial Neural Network with Adaptive Momentum
Hameed, A.A.; Jamil, A.; Ajlouni, N.; Rasheed, J.; Ozyavas, A.; Orman, Z. (Institute of Electrical and Electronics Engineers Inc., 2020)Epilepsy seizures are neurological diseases caused by brain disorders. Electroencephalogram (EEG) is a common clinical method to detect epilepsy seizure from EEG signals. Several automated techniques have been proposed for ... -
Deep Learning-Based Classification of News Texts Using Doc2Vec Model
Dogru, H.B.; Tilki, S.; Jamil, A.; Ali, Hameed, A. (Institute of Electrical and Electronics Engineers Inc., 2021)The rapid increment in internet usage has also resulted in bulk gerenation of text data. Therefore, investigation of new techniques for automatic classification of textual content is needed as manually managing unstructured ... -
Hate Speech and Offensive Language Detection from Social Media
Mercan, V.; Jamil, A.; Hameed, A.A.; Magsi, I.A.; Bazai, S.; Shah, S.A. (Institute of Electrical and Electronics Engineers Inc., 2021)In recent years, the advent of social media platforms has led users to freely express their opinions on various subjects, including politics, society, health, education, finance, and even business-related issues. However, ... -
A Hybrid Feature Extraction Method for Heart Disease Classification using ECG Signals
Akcin, E.; Isleyen, K.S.; Ozcan, E.; Hameed, A.A.; Alimovski, E.; Jamil, A. (Institute of Electrical and Electronics Engineers Inc., 2021)Electrocardiogram (ECG) records electrical activities of human heart that can help identify abnormalities. ECG signals are widely used to classify the signals into various categories that help medical specialists in diagnoses ... -
Improving Stock Prediction Accuracy Using CNN and LSTM
Rasheed, J.; Jamil, A.; Ali, Hameed, A.; Ilyas, M.; Ozyavas, A.; Ajlouni, N. (Institute of Electrical and Electronics Engineers Inc., 2020)Stock price modeling and prediction is a challenging task due to its non-stationary and dynamic nature of data. Developing an accurate stock prediction method can help investors in making profitable decisions by reducing ... -
Multi-Scale Oriented Basic Image Features Column for Handwritten Digit Recognition
Gattal, A.; Djeddi, C.; Jamil, A.; Bensefia, A. (Springer Science and Business Media Deutschland GmbH, 2021)Handwritten digits recognition is a key research problem in the domain of image analysis and pattern recognition. Specifically, the appearance approaches based on feature extraction have been proposed to solve many research ... -
A new approach of staff lines removal for manuscript documents
Mekhaznia, T.; Djeddi, C.; Bensefia, A.; Jamil, A. (Institute of Electrical and Electronics Engineers Inc., 2020)Staff lines detection process facilitates handwriting recognition and segmentation, especially for music symbols. It took part in various research works that allow manuscripts' recognition. In another way, staff lines ... -
Offline Writer Identification Based on CLBP and VLBP
Abbas, F.; Gattal, A.; Djeddi, C.; Bensefia, A.; Jamil, A.; Saoudi, K. (Springer Science and Business Media Deutschland GmbH, 2021)Writer identification from handwriting is still considered to be challenging task due to homogeneous vision comparing writer of handwritten documents. This paper presents a new method based on two LBPs kinds: Complete Local ... -
Sentiment Analysis for COVID-19 Tweets Using Recurrent Neural Network (RNN) and Bidirectional Encoder Representations (BERT) Models
Topbas, A.; Jamil, A.; Hameed, A.A.; Ali, S.M.; Bazai, S.; Shah, S.A. (Institute of Electrical and Electronics Engineers Inc., 2021)In the last few decades, social media usage has exponentially increased, and people often share information covering various topics of interest. The social media platforms such as Twitter allow users to share images, audio, ...
