Browsing by Author "Türkben, Ayça Kurnaz"
Now showing items 1-18 of 18
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Adaptive lossy color image compression system based on hybrid algorithm
Khammas, Husam Khalid; Türkben, Ayça Kurnaz (University of Baghdad, 2024)As the digital age progresses, multimedia technologies have become commonplace, with users expecting high-quality audio, video, and image content across various platforms and devices. As a result, the quantity of data ... -
Ambient intelligence and big data mergeed for wireless student health monitoring system in an IoT
Alhadeethi, Salma (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)Students' health and welfare depend upon the understanding of various factors related to it. The use of ambient intelligence (AmI) and the Internet of things to assure healthcare monitoring and individualized health care ... -
Analysis and Software implementation of a Cognitive Radio to maximize the detection at lowest sensing time
Türkben, Ayça Kurnaz; Al-Akraa, Vivian Sabah Akram (Institute of Electrical and Electronics Engineers Inc., 2022)Communication system witnessed dramatic changes and great developments due the huge increases if the number of users that require many services and new applications for them. These circumstances restricted and made the ... -
Brain tumor segmentation and classification using machine learning techniques
Alramdani, Adari Taher Salem (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)The goal of image segmentation is to partition an image to disjointed segments. This process is one of the most difficult tasks in image processing with a large practical impact. It is widely used for example in medical ... -
Combination of fuzzy C-means and thresholding for segmentation using medical images
Izaddin, Barish Mohammed Izaddin; Türkben, Ayça Kurnaz (Altınbaş Üniversitesi, 2021)Breast tumor segmentation is a crucial stage in breast cancer therapy and follow-up. Radiologists can minimize the high workload of breast cancer analysis by automating this difficult process. After pre-processing source ... -
Computer aided diagnosis of breast tumor segmentation and classification on CT images using machine learning
İzaddin, Barish Mohammed İzaddin (Altınbaş Üniversitesi, 2021)Computed tomography and Mammography are a screening procedure for early identification of breast tumor symptoms such as masses, calcifications, bilateral asymmetry, and architectural deformation. Because human observers ... -
Computer network trafic classification based AI techniques
Ali, Mohammed Akram (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)Identifying and categorizing network traffic is the initial step in determining what sorts of applications are traveling via the network. An internet service provider or network operator may better control a network's ... -
Data mining and analysis for predicting electrical energy consumption
Almohammed, Mustafa; Farhan, Hameed Mutlag; Naseri, Raghad Awad Sababan; Türkben, Ayça Kurnaz (Institute of Electrical and Electronics Engineers Inc., 2022)In this research, data mining techniques that included the deep learning with different scenario is presented for predicting electrical energy consumption data. Energy of the features are implemented and calculated from ... -
Data mining techniques for extraction and analysis of covid-19 data
Al-Obadi, Mohamed Ghanim; Farhan, Hameed Mutlag; Naseri, Raghda Awad Shaban; Türkben, Ayça Kurnaz; Mustafa, Ahmed Khalid; Al-Aloosi, Ahmed Raad (Institute of Electrical and Electronics Engineers Inc., 2022)Artificial intelligence has played a crucial role in medical disease diagnosis. In this research, data mining techniques that included deep learning with different scenarios are presented for extraction and analysis of ... -
Design and develop function for research based application of intelligent internet-of-vehicles model based on fog computing
Khudhur, Abduladheem Fadhil; Türkben, Ayça Kurnaz; Kurnaz, Sefer (Tech Science Press, 2024)The fast growth in Internet-of-Vehicles (IoV) applications is rendering energy efficiency management of vehicular networks a highly important challenge. Most of the existing models are failing to handle the demand for ... -
Design and simulation of mobile wimax network using opnet modeler
Resen, Ahmed Kadhim (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)Transmission weakness signals, low bitrate, low distance with heavy and light services on Orthogonal Frequency Division Multiplexing (OFDM) based lowest throughput and the least response could being a big problem should ... -
Detection and classification of agricultural pest and Vermin's using full-convolutional neural network
Abdulrazzaq, Ali Raad; Türkben, Ayça Kurnaz; Kurnaz, Sefer (Institute of Electrical and Electronics Engineers Inc., 2023)This paper comprehensively explores the development and implementation of Full-Convolutional Neural Networks (FCNs) for precise agricultural pest and vermin detection and classification. Precision farming, a cornerstone ... -
Early detection of diabetic retinopathy based artificial intelligent techniques
Abdullah, Aseel Nusrat; Türkben, Ayça Kurnaz (Institute of Advanced Engineering and Science, 2022)The eye is impacted by several disorders, either directly or indirectly. As a result, eye exams are a crucial component of general healthcare. One of the effects of diabetes is diabetic retinopathy (DR), which affects the ... -
Face recognition system using local binary pattern with binary dragonfly algorithm to feature selection
Al-Aloosi, Ahmed Raad; Farhan, Hameed Mutlag; Naseri, Raghda Awad Shaban; Türkben, Ayça Kurnaz; Mustafa, Ahmed Khalid; Al-Obadi, Mohammed G.F. (Institute of Electrical and Electronics Engineers Inc., 2022)In this paper, the local binary pattern is used to feature extraction, and the Binary Dragonfly Algorithm (BDA) is exploited to find the optimum features. This is a new methodology for face recognition systems. A proposed ... -
Image quality enhancement and rain removal on images taken under different rain conditions
Abdulkarem, Ahmed Fraidoon (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)The visual quality of images recorded on rainy days, even with high-resolution cameras, is worse, which hampers analytical tasks such as object recognition and categorization. Because of this, picture de-raining has been ... -
Intrusion detection system in iot networks using machine learning
Resen, Alhasan Kadhim (Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü, 2022)When we talk about the Internet of Things (IoT), we are referring to any physical object that has been integrated with technological capabilities which let them acquire and distribute information over the Internet. ... -
Optic disc segmentation in human retina images with meta heuristic optimization
Khalef, Dhirgham Atia; Türkben, Ayça Kurnaz; Farhan, Hameed Mutlag; Naseri, Raghda Awad Shaban (Institute of Electrical and Electronics Engineers Inc., 2022)The primary objective of this paper is to use the Whale Optimization Algorithm (WOA). This technique is a new approach for computerized detection of the optic disc positioned in retinal fundus pictures. The optic disc ... -
SNR estimation in communication systems using cognitive radio
Türkben, Ayça Kurnaz; Al-Akraa, Vivian Sabah Akram (Institute of Electrical and Electronics Engineers Inc., 2022)The fast and great developments of communication systems especially on wireless communication lead to big responsibilities on engineers to design systems have the ability for signal to noise ratio (SNR) estimation at the ...
