Search Results - "Zebari, Dilovan Asaad"
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Improved Threshold Based and Trainable Fully Automated Segmentation for Breast Cancer Boundary and Pectoral Muscle in Mammogram Images
Published in IEEE access (2020)“…Segmentation of the breast region and pectoral muscle are fundamental subsequent steps in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the…”
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A YOLO-based deep learning model for Real-Time face mask detection via drone surveillance in public spaces
Published in Information sciences (01-08-2024)“…Automating face mask detection in public areas is paramount to maintaining public health, especially in the context of the COVID-19 pandemic. Utilization of…”
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Effective hybrid deep learning model for COVID‐19 patterns identification using CT images
Published in Expert systems (01-12-2022)“…Coronavirus disease 2019 (COVID‐19) has attracted significant attention of researchers from various disciplines since the end of 2019. Although the global…”
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Systematic Review of Computing Approaches for Breast Cancer Detection Based Computer Aided Diagnosis Using Mammogram Images
Published in Applied artificial intelligence (15-12-2021)“…Breast cancer is one of the most prevalent types of cancer that plagues females. Mortality from breast cancer could be reduced by diagnosing and identifying it…”
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Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion
Published in Applied sciences (01-12-2021)“…Breast cancer detection using mammogram images at an early stage is an important step in disease diagnostics. We propose a new method for the classification of…”
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Event-Specific Transmission Forecasting of SARS-CoV-2 in a Mixed-Mode Ventilated Office Room Using an ANN
Published in International journal of environmental research and public health (15-12-2022)“…The emerging novel variants and re-merging old variants of SARS-CoV-2 make it critical to study the transmission probability in mixed-mode ventilated office…”
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Augmented IoT Cooperative Vehicular Framework Based on Distributed Deep Blockchain Networks
Published in IEEE internet of things journal (15-11-2024)“…This article presents the Augmented Internet of Things (AIoT) framework for cooperatively distributed deep blockchain-assisted vehicle networks. AIoT framework…”
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8
Identifying defective solar cells in electroluminescence images using deep feature representations
Published in PeerJ. Computer science (19-05-2022)“…Electroluminescence (EL) imaging is a technique for acquiring images of photovoltaic (PV) modules and examining them for surface defects. Analysis of EL images…”
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A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images
Published in CAAI Transactions on Intelligence Technology (01-08-2024)“…Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and…”
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A Framework for Susceptibility Analysis of Brain Tumours Based on Uncertain Analytical Cum Algorithmic Modeling
Published in Bioengineering (Basel) (22-01-2023)“…Susceptibility analysis is an intelligent technique that not only assists decision makers in assessing the suspected severity of any sort of brain tumour in a…”
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A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation
Published in IEEE access (2023)“…Traditional image recovery from corrupted file systems plays a significant role in Digital Forensics investigation. The images are mainly considered objective…”
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ReID-DeePNet: A Hybrid Deep Learning System for Person Re-Identification
Published in Mathematics (Basel) (01-10-2022)“…Person re-identification has become an essential application within computer vision due to its ability to match the same person over non-overlapping cameras…”
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13
A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs
Published in IEEE access (2022)“…Nowadays, VANET (vehicular ad hoc network) is one of the key aspects of developing advanced intelligent transportation systems. Due to its huge mobility and…”
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The Assessment of Medication Effects in Omicron Patients through MADM Approach Based on Distance Measures of Interval-Valued Fuzzy Hypersoft Set
Published in Bioengineering (Basel) (17-11-2022)“…Omicron, so-called COVID-2, is an emerging variant of COVID-19 which is proved to be the most fatal amongst the other variants such as alpha, beta and gamma…”
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Optimized Downlink Scheduling over LTE Network Based on Artificial Neural Network
Published in Computers (Basel) (01-09-2023)“…Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband communication for mobile devices. It provides flexible bandwidth and…”
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Deep Learning Convolutional Neural Networks Classification Based on Brain Cancer MRI
Published in 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (19-07-2023)“…Brain tumor diagnosis and classification is a major challenge for medical field. The majority of the time, Computer-Aided Diagnostic Systems (CADS) and methods…”
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Conference Proceeding -
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Automated Detection of Covid-19 from X-ray Using SVM
Published in 2022 4th International Conference on Advanced Science and Engineering (ICOASE) (21-09-2022)“…Earlier discovery of COVID-19 through precise diagnosis, particularly in instances with no evident symptoms, may reduce the mortality rate of patients. Chest…”
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Conference Proceeding -
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Breast cancer diagnosis using evolving deep convolutional neural network based on hybrid extreme learning machine technique and improved chimp optimization algorithm
Published in Biomedical signal processing and control (01-01-2024)“…•Breast cancer diagnosis using evolving deep convolutional neural network.•Evolution of ZFNet network using extreme learning machine for breast cancer…”
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An Integrated Gapso Approach for Solving Problem of an Examination Timetabiking System
Published in 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA) (10-07-2021)“…Examination timetabling is a discrete, multi-objective and combinatorial optimization problem which tends to be solved with a cooperation of stochastic search…”
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Conference Proceeding -
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Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology
Published in Engineering applications of artificial intelligence (01-03-2024)“…Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial applications. For instance, remote healthcare monitoring, real-time…”
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