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Listar por autor "Kadry, Seifedine"

Mostrando ítems 1-20 de 20

    • A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier 

      Muthu, Bala Anand; Cb, Sivaparthipan; Kumar, Priyan Malarvizhi; Kadry, Seifedine; Hsu, Ching-Hsien; Sanjuán Martínez, Óscar; González-Crespo, Rubén (Association for Computing Machinery, 2021)
      There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it ...

    • A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier 

      Amin, Javeria; Anjum, Muhammad Almas; Sharif, Muhammad; Jabeen, Saima; Kadry, Seifedine; Moreno-Ger, Pablo (Computational Intelligence and Neuroscience, 2022)
      A brain tumor is an abnormal enlargement of cells if not properly diagnosed. Early detection of a brain tumor is critical for clinical practice and survival rates. Brain tumors arise in a variety of shapes, sizes, and ...

    • A Study on RGB Image Multi-Thresholding using Kapur/Tsallis Entropy and Moth-Flame Algorithm 

      Rajinikanth, V.; Kadry, Seifedine; González-Crespo, Rubén; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...

    • A study on RGB image multi-thresholding using Kapur/Tsallis entropy and moth-flame algorithm 

      Rajinikanth, Venkatesan; Kadry, Seifedine; González-Crespo, Rubén ; Verdú, Elena (Universidad Internacional de la Rioja, 2021)
      In the literature, a considerable number of image processing and evaluation procedures are proposed and implemented in various domains due to their practical importance. Thresholding is one of the pre-processing techniques, ...

    • Adaptive Deep Learning Detection Model for Multi-Foggy Images 

      Hussein Arif, Zainab; Mahmoud, Moamin; Hameed Abdulkareem, Karrar; Kadry, Seifedine; Abed Mohammed, Mazin; Nasser Al-Mhiqani, Mohammed; Al-Waisy, Alaa S.; Nedoma, Jan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2022)
      The fog has different features and effects within every single environment. Detection whether there is fog in the image is considered a challenge and giving the type of fog has a substantial enlightening effect on image ...

    • An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection 

      Fayyaz, Abdul Muiz; Raza, Mudassar; Sharif, Muhammad; Shah, Jamal Hussain; Kadry, Seifedine; Sanjuán Martínez, Óscar (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023)
      COVID-19 is a challenging worldwide pandemic disease nowadays that spreads from person to person in a very fast manner. It is necessary to develop an automated technique for COVID-19 identification. This work investigates ...

    • Analysis of the Pertinence of Indian Women's Institutions in Collaborative Research 

      Muhuri, Samya; Kumari, Suchi; Namasudra, Suyel; Kadry, Seifedine (IEEE Transactions on Computational Social Systems, 2023)
      Nowadays, the relevance of women-only educational institutes is questionable due to various reasons that include social uplifting, ample opportunities, and a free mindset among the population. Though women colleges and ...

    • Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme 

      Kadry, Seifedine; Rajinikanth, Venkatesan; González-Crespo, Rubén; Verdú, Elena (Springer, 2022)
      An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection ...

    • Automated segmentation of leukocyte from hematological images—a study using various CNN schemes 

      Kadry, Seifedine; Rajinikanth, Venkatesan; Taniar, David; Damaševičius, Roberta; Blanco Valencia, Xiomara Patricia (Springer, 2022)
      Medical images play a fundamental role in disease screening, and automated evaluation of these images is widely preferred in hospitals. Recently, Convolutional Neural Network (CNN) supported medical data assessment is ...

    • Automatic classification of normal/AD brain MRI slices using whale-algorithm optimized hybrid image features 

      Kadry, Seifedine; Jessy, V. Elizabeth; Rajinikanth, Venkatesan; González-Crespo, Rubén (Journal of Ambient Intelligence and Humanized Computing, 2023)
      In recent years, the prevalence of Age-Related Illnesses (ARL) has been increasing among older individuals, and early recognition and treatment will result in better living conditions. It is well known that Alzheimer's ...

    • Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study 

      Kadry, Seifedine; Herrera-Viedma, Enrique; González-Crespo, Rubén; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      The lung is one of the prime respiratory organs in human physiology, and its abnormality will severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and early screening and treatment are ...

    • Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

      Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2024)
      Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...

    • Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes 

      Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      In the women's community, Breast Cancer (BC) is a severe disease. The World Health Organization reported in 2020 that 2.26 million deaths occur due to BC. BC is curable if detected early. Since thermal imaging is non-invasive ...

    • CNN supported framework for automatic extraction and evaluation of dermoscopy images 

      Cheng, Xiaochun; Kadry, Seifedine; Meqdad, Maytham N.; González-Crespo, Rubén (Journal of Supercomputing, 2022)
      Skin Cancer is one of the acute diseases listed under top 5 groups in 2020 report of World Health Organisation. This research aims to propose a Convolutional Neural Network framework to extract and evaluate the suspicious ...

    • Deep and handcrafted feature supported diabetic retinopathy detection: A study 

      Kadry, Seifedine; González-Crespo, Rubén; Herrera-Viedma, Enrique; Krishnamoorthy, Sujatha; Rajinikanth, Venkatesan (Procedia Computer Science, 2022)
      The eye is the prime sensory organ in physiology, and the abnormality in the eye severely influences the vision system. Therefore, eye irregularity is commonly assessed using imaging schemes, and Fundus Retinal Image (FRI) ...

    • Detection of anomaly in surveillance videos using quantum convolutional neural networks 

      Amin, Javeria; Anjum, Muhammad Almas; Ibrar, Kainat; Sharif, Muhammad; Kadry, Seifedine; González-Crespo, Rubén (Image and Vision Computing, 2023)
      Anomalous behavior identification is the process of detecting behavior that differs from its normal. These incidents will vary from violence to war, road crashes to kidnapping, and so on in a surveillance model. Video ...

    • G-Sep: A Deep Learning Algorithm for Detection of Long-Term Sepsis Using Bidirectional Gated Recurrent Unit 

      Rajmohan, R.; Kumar, T. Ananth; Julie, E. Golden; Robinson, Y.H.; Vimal, S.; Kadry, Seifedine; González-Crespo, Rubén (International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2022)
      Sepsis is a common and deadly condition that must be treated eloquently within 19 hours. Numerous deep learning techniques, including Recurrent Neural Networks, Convolution Neural Networks, Long Short-Term Memory, and Gated ...

    • Mapping and Deep Analysis of Image Dehazing: Coherent Taxonomy, Datasets, Open Challenges, Motivations, and Recommendations 

      Hameed Abdulkareem, Karrar; Arbaiy, Nureize; Hussein Arif, Zainab; Nasser Al-Mhiqani, Mohammed; Abed Mohammed, Mazin; Kadry, Seifedine; Alkareem Alyasseri, Zaid Abdi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying ...

    • ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features 

      Rajinikanth, Venkatesan; Kadry, Seifedine; Moreno-Ger, Pablo (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2023)
      The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...

    • Visual Geometry Group based on U-Shaped Model for Liver/Liver Tumor Segmentation 

      Amin, Javeria; Almas Anjum, Muhammad; Sharif, Muhammad; Kadry, Seifedine; González-Crespo, Rubén (IEEE Latin America Transactions, 2023)
      Liver cancer is the primary reason of death around the globe. Manually detecting the infected tissues is a challenging and time-consuming task. The computerized methods help make accurate decisions and therapy processes. ...