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    TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

    Published 2025-08-01
    “…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. Additionally, the model has a significantly smaller number of parameters than LSTM and GRU, making it suitable for environments with limited computational resources. …”
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    Introduction to Computational Creativity by Anna Longo, ChatGPT

    Published 2025-04-01
    “…This involves machine learning, neural networks, evolutionary algorithms, and other AI techniques that enable computers to recognize patterns, generate new ideas, and refine them through iterative processes.  …”
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  7. 647

    Geometric modeling of the process of digging trench pits during pipeline repair by F. N. Pritykin, I. S. Kuznetsov

    Published 2023-11-01
    “…The full cycle of the process of digging a pit with dumping of soil into a dump is also considered. …”
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    Fog Computing: A Comprehensive Review of Architectures, Applications, and Security Challenges by Shatha A. Baker, Salar Jamal Rashid, Omar I. alsaif

    Published 2023-10-01
    “…Fog computing designs use a hierarchical approach, where the fog nodes act as an intermediary layer for local data processing and the cloud infrastructure acts as the top layer to support the fog nodes while the devices and sensors generate the data at the bottom layer. …”
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    Neuromorphic Computing for Smart Agriculture by Shize Lu, Xinqing Xiao

    Published 2024-11-01
    “…Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain. …”
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    Temporal-Logic-Based Testing Tool for Programs Using the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Programming Models by Salwa Saad, Etimad Fadel, Ohoud Alzamzami, Fathy Eassa, Ahmed Mohammed Alghamdi

    Published 2025-01-01
    “…Achieving such systems involves not only advancements in hardware but also the integration of multiple programming models to maximize computational efficiency. The dual programming model that combines the Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) is a common approach to enhance parallelism. …”
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    Center of Largest Area Defuzzifier Vnit VLSI Architecture by Asim Majeed Murshid, Ahmed Chalak Shakir, Sarmed Nihad Mohammed

    Published 2023-02-01
    “… Defuzzification unit combines fuzzy variables and fuzzy decisions to form a corresponding real (crisp or non-fuzzy) signal which can be used then to actuate some processes. Since the fuzzy data cannot be used directly for the real time applications, therefore it has to be converted into a crisp value. …”
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