• Pencereleme tekniklerinin konuşma tanıma sistemi için karşılaştırılması 

  Çakır, Mert Yılmaz; Şirin, Yahya (IEEE, 2018)

  Akıllı cihazları yönetme imkânısağlayan konuşma tanıma, konuşma sinyalinden gerekli bilgileri çıkartarak bu cihazların tahmin yeteneğinin gelişmesini amaçlamaktadır.Bu çalışmada geçmiş araştırmalarincelenerek ...

• Sensitivity reliability analysis of power distribution networks using fuzzy logic 

  Wadi, Mohammed; Elmasry, Wisam; Küçük, İsmail; Shahinzadeh, Hossein (IEEE, 2022)

  This paper proposes a combined method utilizing both the reliability block diagram analytical technique and the Monte Carlo simulation method to estimate the reliability of power systems. Since the reliability of collected ...

• Wind energy potential approximation with various metaheuristic optimization techniques deployment 

  Wadi, Mohammed; Elmasry, Wisam; Shobole, Abdulfetah; Tur, Mehmet Rida; Bayındır, Ramazan; Shahinzadeh, Hossein (IEEE, 2021)

  This paper presents a comprehensive empirical study of five different distribution functions to analysis the wind energy potential, namely, Rayleigh, Gamma, Extreme Value, Logistic, and T Location-Scale. In ...

• Inventory Cost Minimization of Spare Parts in Aviation Industry 

  Şahin, M.; Eldemir, F.; Turkyilmaz, A. (Elsevier B.V., 2022)

  Due to high competition in the aviation industry, cost reduction comes into prominence and becomes more critical each day. An efficient maintenance and spare part inventory management system that operates based on a reliable ...

• 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 ...

• Coping with COVID-19: Higher Education in the GCC Countries 

  Bensaid, B.; Brahimi, T. (Springer Science and Business Media B.V., 2021)

  Today, the COVID-19 pandemic has, among many other things, tested the resilience of higher education institutions, but profoundly reshaped the management of learning, education and skills development, leading to a rethinking ...

• 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 ...

• 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 ...

• Investigation of Thermal Modeling for Underground Cable Ampacity under Different Conditions of Distances and Depths 

  Al-Dulaimi, A.A.; Guneser, M.T.; Hameed, A.A. (Institute of Electrical and Electronics Engineers Inc., 2021)

  Underground cables are affected by a many different factors, including the temperature distribution surrounding the cable, the depth of the cable, distances between the cables, the thermal resistivity of the soil, and the ...

• 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, ...

• 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, ...

• 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 ...

• Modeling of wind energy potential in marmara region using different statistical distributions and genetic algorithms 

  Wadi, Mohammed; Elmasry, Wisam (Institute of Electrical and Electronics Engineers Inc., 2021)

  Many distribution functions for representing the wind power potential have been proposed. The fitness of the results mainly depends on the used estimation method and the wind pattern of the analyzed area. The selection of ...

• Deep and Machine Learning towards Pneumonia and Asthma Detection 

  Yahyaoui, A.; Yumusak, N. (Institute of Electrical and Electronics Engineers Inc., 2021)

  Machine Learning is a branch of artificial intelligence widely used in the medical field to analyze high-dimensional medical data and the early detection of certain dangerous diseases. Lung diseases continue to increase ...

• 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, ...

• 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 ...

• 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 ...

• 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 ...

• Using Artificial Intelligence to Predict Fall-risk During Adaptive Locomotion in Humans 

  Dogan, Gulustan; Alotaibi, Nouran; Sahin, Elif; Ertas, Sinem Sena; Cay, Iremnaz; Keskin, Seref Recep; Ricanek, Karl (Ieee, 2020)

  Falls are the third leading cause of unintentional injuries for ages 18-35 years according to the CDC; although there are many studies for falls in the elderly population, the causes and circumstances of falls for younger ...

• Automatic Video Indexing and Retrieval System for Turkish Videos 

  Rasheed, Jawad; Jamil, Akhtar; Yahyaoui, Amani; Madey, Ahmed Sheikh Abdullahi (Ieee, 2020)

  A continual increase in multimedia data needs a sophisticated automatic video indexing and retrieval system based on its content. This paper exploited statistical feature along with some morphological operations to detect ...

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