Search Results - "Sihem, Slatnia"

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  1. 1

    TR-ICANet: A Fast Unsupervised Deep-Learning-Based Scheme for Unconstrained Ear Recognition by Korichi, Aicha, Slatnia, Sihem, Aiadi, Oussama

    “…Recently, several deep learning schemes have been considered for recognizing ear print. However, deep-based schemes are known to be data-hungry and they may…”
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    Journal Article
  2. 2

    Identification and diagnosis of schizophrenia based on multichannel EEG and CNN deep learning model by Latreche, Imene, Slatnia, Sihem, Kazar, Okba, Harous, Saad, Khelili, Mohamed Akram

    Published in Schizophrenia research (01-09-2024)
    “…This paper proposes a high-accuracy EEG-based schizophrenia (SZ) detection approach. Unlike comparable literature studies employing conventional machine…”
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    Journal Article
  3. 3

    An optimized deep hybrid learning for multi-channel EEG-based driver drowsiness detection by Latreche, Imene, Slatnia, Sihem, Kazar, Okba, Harous, Saad

    Published in Biomedical signal processing and control (01-01-2025)
    “…•Selecting the optimal set of preprocessing parameters that can enhance the classification results using the Random Search Optimization method.•Implementing…”
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    Journal Article
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    A generic feature-independent pyramid multilevel model for Arabic handwriting recognition by Korichi, Aicha, Slatnia, Sihem, Aiadi, Oussama, Khaldi, Belal

    Published in Multimedia tools and applications (01-06-2022)
    “…Over the last decade, several image features extraction schemes such as multi-level (ML) and pyramid multi-level (PML) have been proposed. Generally speaking,…”
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    Journal Article
  6. 6

    Artificial intelligence in healthcare: a review on predicting clinical needs by Houfani, Djihane, Slatnia, Sihem, Kazar, Okba, Saouli, Hamza, Merizig, Abdelhak

    “…Artificial Intelligence is revolutionizing the world. In the last decades, it is applied in almost all fields especially in medical prediction. Researchers in…”
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    Journal Article
  7. 7

    Blockchain-based multi-diagnosis deep learning application for various diseases classification by Rahal, Hakima Rym, Slatnia, Sihem, Kazar, Okba, Barka, Ezedin, Harous, Saad

    “…Misdiagnosis is a critical issue in healthcare, which can lead to severe consequences for patients, including delayed or inappropriate treatment, unnecessary…”
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    Journal Article
  8. 8

    IoMT-fog-cloud based architecture for Covid-19 detection by Khelili, M.A., Slatnia, S., Kazar, O., Harous, S.

    Published in Biomedical signal processing and control (01-07-2022)
    “…•The application of CNN for the classification of Pneumonia disease and Covid-19.•The use of DWT-PCA with TKEO as features extraction and dimensionality…”
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    Journal Article
  9. 9

    Deep learning and metaheuristics application in internet of things: A literature review by khelili, Mohamed Akram, slatnia, Sihem, kazar, Okba, merizig, Abdelhak, mirjalili, Seyedali

    Published in Microprocessors and microsystems (01-04-2023)
    “…Nowadays, every kind of devices with different sizes and shapes, from lamp to kitchen appliances and industrial machines, are connected and shares information…”
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    Journal Article
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    Evolutionary Approach Based on Active Edges Detection for Images Segmentation by Slatnia Sihem, Kazar Okba, Arab Khaoula

    “…There are many methods for segmentation which vary strongly in their approach to the problem of image segmentation. In this paper, We specified the study in a…”
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    Journal Article
  13. 13

    Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms by Okba Kazar, Sihem Slatnia

    “…We use an evolutionary process to seek a specialized set of rules among a wide range of rules to be used by Cellular Automata (CA) for a range of tasks,…”
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    Journal Article
  14. 14

    Evolutionary Cellular Automata for Image Segmentation and Noise Filtering Using Genetic Algorithms by Sihem SLATNIA, Okba KAZAR

    “…We use an evolutionary process to seek a specialized set of rules among a wide range of rules to be used by Cellular Automata (CA) for a range of…”
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    Journal Article
  15. 15

    CNN-LSTM To Identify The Most Informative EEG-Based Driver Drowsiness Detection Brain Region by Latreche, Imene, Slatnia, Sihem, Kazar, Okba

    “…As driver drowsiness causes dangerous results such as accidents and deaths, it is crucial to develop a system that can detect it in its early stage and…”
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    Conference Proceeding
  16. 16

    Convolution Neural network based Marine Predator Algorithm for COVID-19 detection by Akram, Khelili Mohamed, Sihem, Slatnia, Okba, Kazar

    “…COVID-19 is among the dangerous illness in the world due to its quickly spreading, posing a new challenge for researchers to discover it early. In last few…”
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    Conference Proceeding
  17. 17

    Machine learning Solutions to Model Checking: A Brief Literature Review by Besbas, Asma, Belaiche, Leyla, Slatnia, Sihem, Kahloul, Laid, Khalgui, Mohamed

    “…During the last decades, artificial intelligence (AI) touched many domains of software engineering. One of them is formal verification (FV), where learning…”
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    Conference Proceeding
  18. 18

    Arabic handwriting recognition: Between handcrafted methods and deep learning techniques by Korichi, Aicha, Slatnia, Sihem, Aiadi, Oussama, Tagougui, Najiba, Kherallah, Monji

    “…Recently, the area of pattern recognition has attracted the attention of many researchers in various domain and applications such as biometric, classification…”
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    Conference Proceeding
  19. 19

    Blockchain for medical security data: a review and perspectives by Rahal, Hakima Rym, Slatnia, Sihem, Kazar, Okba, Barka, Ezedin

    “…Blockchain an ideal technology that for securing healthcare applications since it can maintain an immutable, decentralized, and transparent ledger of all…”
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    Conference Proceeding
  20. 20

    Fuzzy Logic and Deep learning Techniques for Covid-19 Detection by Hassani, Belkis, Akram, Khelili Mohamed, Okba, Kazar, Sihem, Slatnia, Harous, Saad, Athamena, Belkacem, Houhamdi, Zina

    “…With the development of ICT and its adoption in various domains, it gained remarkable intention in the healthcare sector which introduce the telemedicine term…”
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    Conference Proceeding