• SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION 

  Ahishali, Mete; Kiranyaz, Serkan; Ahmad, Iftikhar; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)

  The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ...
• SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION 

  Keleş, Onur; Tekalp, A. Murat; Malik, Junaid; Kιranyaz, Serkan ( IEEE Computer Society , 2021 , Conference Paper)

  It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR). Although the universal approximation theorem states that a multi-layer ...
• Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography 

  Degerli, Aysen; Sohrab, Fahad; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2022 , Conference Paper)

  Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ...
• Improved Domain Adaptation Approach for Bearing Fault Diagnosis 

  Ince, Turker; Kilickaya, Sertac; Eren, Levent; Devecioglu, Ozer Can; Kiranyaz, Serkan; Gabbouj, Moncef... more authors ... less authors ( IEEE Computer Society , 2022 , Conference Paper)

  Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ...
• BM3D VS 2-LAYER ONN 

  Malik, Junaid; Kiranyaz, Serkan; Yamac, Mehmet; Gabbouj, Moncef ( IEEE Computer Society , 2021 , Conference Paper)

  Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ...
• Global ECG Classification by Self-Operational Neural Networks with Feature Injection 

  Zahid, Muhammad Uzair; Kiranyaz, Serkan; Gabbouj, Moncef ( IEEE Computer Society , 2023 , Article)

  Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ...
• Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models 

  Hossain, Amran; Islam, Mohammad T.; Rahman, Tawsifur; Chowdhury, Muhammad E. H.; Tahir, Anas; Kiranyaz, Serkan; Mat, Kamarulzaman; Beng, Gan K.; Soliman, Mohamed S.... more authors ... less authors ( MDPI , 2023 , Article)

  Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ...
• Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping 

  Soleimani-Babakamali, Mohammad Hesam; Soleimani-Babakamali, Roksana; Nasrollahzadeh, Kourosh; Avci, Onur; Kiranyaz, Serkan; Taciroglu, Ertugrul... more authors ... less authors ( Elsevier , 2023 , Article)

  Gathering properly labeled, adequately rich, and case-specific data for successfully training a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a ...
• D2DLive: Iterative live video streaming algorithm for D2D networks 

  Chkirbene, Zina; Hamila, Ridha; Erbad, Aiman; Kiranyaz, Serkan; Al-Emadi, Nasser ( Elsevier , 2023 , Article)

  Smart healthcare system incorporates new technologies making healthcare more efficient and more convenient. Virtual consultations provide interactions with healthcare professionals via video technology, which lessens the ...
• Medical image analysis 

  Degerli, Aysen; Yamac, Mehmet; Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2022 , Book Chapter)

  This chapter presents deep learning methodologies for medical imaging tasks. The chapter starts with echocardiography for early detection of myocardial infarction (MI) or commonly known as heart attack. Early and fundamental ...
• Powerline interference suppression of a textile-insulated capacitive biomedical sensor using digital filters 

  Ng, Charn Loong; Bin Ibne Reaz, Mamun; Bin Md Ali, Sawal Hamid; Crespo, Maria Liz; Cicuttin,; res; Hoque Chowdhury, Muhammad Enamul; Kiranyaz, Serkan; Kamal, Noorfazila Binti... more authors ... less authors ( Elsevier , 2023 , Article)

  This research evaluated a textile-insulated capacitive (TEX-C) biomedical sensor insulated by six types of textile materials namely cotton, linen, rayon, nylon, polyester, and PVC-textile. Each textile material creates a ...
• SELF-ORGANIZED VARIATIONAL AUTOENCODERS (SELF-VAE) FOR LEARNED IMAGE COMPRESSION 

  Yílmaz, M. Akín; Kelesş, Onur; Güven, Hilal; Tekalp, A. Murat; Malik, Junaid; Kíranyaz, Serkan... more authors ... less authors ( IEEE Computer Society , 2021 , Conference Paper)

  In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform images into a latent space. Recently, ...
• Real-Time and Web-Based Structural Damage Detection Network for Multiple Structures 

  Avci, Onur; Gül, Mustafa; Catbas, F. Necati; Celik, Ozan; Ince, Turker; Kiranyaz, Serkan... more authors ... less authors ( Springer , 2023 , Conference Paper)

  A structural damage detection system specifically designed to monitor multiple structures at a network level is introduced in this paper. Such a monitoring system improves resiliency and helps manage the operation and ...
• Classification of SAR Images Using Compact Convolutional Neural Networks 

  Ahishali, Mete; Kiranyaz, Serkan; Gabbouj, Moncef ( Springer , 2022 , Book Chapter)

  Classification of SAR images has been an interesting task considering its major role in environmental and natural research areas. Existing studies proposed for Land use/land cover (LU/LC) classification using SAR data can ...
• Representation based regression for object distance estimation 

  Ahishali, Mete; Yamac, Mehmet; Kiranyaz, Serkan; Gabbouj, Moncef ( Elsevier , 2023 , Article)

  In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ...
• A hyperbolic penalty method to solve structured convex minimization problems 

  Hamdi, A.; Al-Maadeed, T.K.; Taati, A. ( Institute of Advanced Science Extension (IASE) , 2020 , Article)

  This paper presents a decomposition algorithm based on the smooth hyperbolic penalty, which leads to a scheme suitable for parallelized computations. The proposed algorithm can be seen as a separable version of the earlier ...
• A weighted version of Hermite-Hadamard type inequalities for strongly GA-convex functions 

  Sharma, N.; Mishra, S.K.; Hamdi, A. ( Institute of Advanced Science Extension (IASE) , 2020 , Article)

  In this paper, we have established new weighted Hermite-Hadamard type inequalities for strongly GA-convex functions. Those findings are obtained by using geometric symmetry of continuous positive mappings and differentiable ...
• Optimal Production Planning Strategy for Deteriorating Items in Terms of Emission Tax, Pollution, and R&D Investment 

  Tadj, L.; Garg, A.K.; Hamdi, A. ( Springer Science and Business Media B.V. , 2018 , Conference Paper)

  Firms are faced with the question of what policies to implement to ensure efficient abatement behavior? In this paper, we aim to determine the optimal production rate and the optimal investment rate in pollution abatement ...
• Robust index-tracking and enhanced index-tracking in portfolio optimization 

  Khoshabar, N.A.; Salahi, M.; Lotfi, S.; Hamdi, A. ( Ascociacion Internacional de Economia Aplicada , 2020 , Article)

  We study index-tracking and enhanced index-tracking problems in portfolio optimization under interval uncertainty for returns and covariance matrix. The proposed robust counterparts for both models are in the form of second ...
• A hybrid LQP alternating direction method for solving variational inequality problems with separable structure 

  Bnouhachem, A.; Hamdi, A. ( Natural Sciences Publishing Co. , 2015 , Article)

  In this paper, we presented a logarithmic-quadratic proximal alternating direction method for structured variational inequalities. The method generates the new iterate by searching the optimal step size along the descent ...

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