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  1. 13521
  2. 13522

    Application of professional standards for training in methods and technologies of software engineering at the higher education institutions by A. S. Minzov, O. I. Melnikova

    Published 2018-05-01
    “…This training direction emerged in Russia from recommendations of the standard of Computing Curricula: Software Engineering. It is supposed that graduates of this direction will be engaged in the future in development and support of difficult program systems, and therefore during educational process they have to receive broad basis of knowledge and skills to be able to develop software, create projects of development of a software product, as well as program documentation; manage the processes of programs’ life cycle, work in groups and manage team of performers in the process of production of software products. …”
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  3. 13523
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  6. 13526

    BCI-DRONE CONTROL BASED ON THE CONCENTRATION LEVEL AND EYE BLINK SIGNALS USING A NEUROSKY HEADSET by Ali Abdulwahhab Mohammed, Ali H. Abdulwahhab, Alaa Hussein Abdulaal, Musaria Karim Mahmood, Indrit Myderrizi, Riyam Ali Yassin, Taha Talib Abdulridha, Morteza Valizadeh

    Published 2025-07-01
    “…Neuron activity is used in several technologies by operating their applications based on mind waves. The Brain-Computer Interface (BCI) technology enables a processor to connect with the brain using a signal received from the brain. …”
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  7. 13527
  8. 13528

    Enhancing Binary Convolutional Neural Networks for Hyperspectral Image Classification by Xuebin Tang, Ke Zhang, Xiaolei Zhou, Lingbin Zeng, Shan Huang

    Published 2024-11-01
    “…Nonetheless, the high degree of parameterization inherent in CNN models necessitates considerable computational and storage resources, posing challenges to their deployment in processors with limited capacity like drones and satellites. …”
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  9. 13529

    UAV Detection Using Template Matching and Centroid Tracking by Muhammad Hanzla, Muhammad Ovais Yusuf, Touseef Sadiq, Naif Al Mudawi, Hameedur Rahman, Abdulwahab Alazeb, Aisha Ahmed AlArfaj, Asaad Algarni

    Published 2024-01-01
    “…In computer vision and image processing, vehicle detection and tracking in complicated aerial images have become important subjects. …”
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  10. 13530
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    Non‐Volatile Resistive Switching in Nanoscaled Elemental Tellurium by Vapor Transport Deposition on Gold by Sara Ghomi, Christian Martella, Yoonseok Lee, Penny Hui‐Ping Chang, Paolo Targa, Andrea Serafini, Davide Codegoni, Chiara Massetti, Sepideh Gharedaghi, Alessio Lamperti, Carlo Grazianetti, Deji Akinwande, Alessandro Molle

    Published 2025-01-01
    “…Abstract Two‐dimensional (2D) materials are promising for resistive switching in neuromorphic and in‐memory computing, as their atomic thickness substantially improve the energetic budget of the device and circuits. …”
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  16. 13536

    Explainable artificial intelligence with fusion-based transfer learning on adverse weather conditions detection using complex data for autonomous vehicles by Khaled Tarmissi, Hanan Abdullah Mengash, Noha Negm, Yahia Said, Ali M. Al-Sharafi

    Published 2024-12-01
    “…Autonomous vehicles (AVs), particularly self-driving cars, have produced a large amount of interest in artificial intelligence (AI), intelligent transportation, and computer vision. Tracing and detecting numerous targets in real-time, mainly in city arrangements in adversarial environmental conditions, has become a significant challenge for AVs. …”
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  17. 13537
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    Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

    Published 2024-01-01
    “…Additionally, we performed a computational cost analysis to measure the efficiency of the models in terms of training time and resource usage. …”
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  20. 13540

    Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG by Jiahui Pan, Weijie Fang, Zhihang Zhang, Bingzhi Chen, Zheng Zhang, Shuihua Wang

    Published 2024-01-01
    “…Correspondingly, the facial branch uses the improved GhostNet neural network proposed in this paper for feature extraction, which effectively alleviates the overfitting phenomenon in the training process and improves the classification accuracy compared with the original GhostNet network. …”
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