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    Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids by Dabeeruddin Syed (16864260)

    Published 2023
    “…To solve overfitting that exists with ITL, a novel weight regularized optimization approach is implemented. The proposed novel cross-model methodology is evaluated on a real-world case study of 1000 distribution nodes of an electrical grid for one-day ahead hourly forecasting. …”
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    B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by Yahuza Bello (19645930)

    Published 2021
    “…Leveraging AWS environment, we implemented and evaluated the two proposed auto-scaling models based on the attachment success rate, latency, CPU usage and RAM usage. …”
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    Payload Prediction for Quadro Drone using Temporal Deep Machine Learning Models by Abu Zitar, Raed

    Published 2024
    “…Several simulations were implemented for training, testing, and validation. Cross-validation for the models was implemented The RMSE and MAE errors were used to evaluate the loss and the accuracies. …”
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    Project performance rating model for water and wastewater treatment plant public projects by Abi Shdid, Caesar

    Published 2018
    “…The PPR model showed the implementation of the IPD principles to improve the performance of the case study project by a factor of 1.3. …”
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    A Simple Free-Flow Traffic Model for Vehicular Intermittently Connected Networks by Fawaz, Wissam F.

    Published 2012
    “…These microscopic models are complex, and their implementations may be costly. …”
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    Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts by Salah, Khaled

    Published 2006
    “…The paper gives guidelines and recommendations to address design and implementation issues. Simulation and reported experimental results show that our analytical models are valid and give a good approximation.…”
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    article
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    Two Analytical Models for Evaluating Performance of Gigabit Ethernet Hosts with Finite Buffer by Salah, Khaled

    Published 2006
    “…The paper gives guidelines and recommendations to address design and implementation issues. Simulation and reported experimental results show that our analytical models are valid and give a good approximation.…”
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    article
  15. 175

    Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models by Dingzong Zhang (23275066)

    Published 2025
    “…This survey provides a detailed discussion of the basic principles, algorithms, and implementation methods of knowledge distillation. It explores KD’s impact on LLMs, emphasizing its utility in model compression, performance enhancement, and self-improvement. …”
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    Hybrid model of alternating least squares and root polynomial technique for color correction by Babbar, Geetanjali

    Published 2023
    “…The effectiveness of the suggested hybrid color correction approach is assessed and validated in MATLAB software for each color model. Through extensive experiments, it is observed that the proposed hybrid model yields the least errors for the RGB color model. …”
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