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85 ta ish

Ish: Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning

  1. Artificial Neural Networks Based Optimization Techniques: A Review

    Maher G. M. Abdolrasol, S. M. Suhail Hussain, Taha Selim Ustun +6

    Sharh maqola20212 iqtibos
    ABI

  2. Interpreting the experimental results of compressive strength of hand-mixed cement-grouted sands using various mathematical approaches

    Wael Mahmood, Ahmed Salih Mohammed, Parveen Sihag +2

    Maqola20212 iqtibos
    ABI

  3. Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

    Claudio Filipi Gonçalves dos Santos, João Paulo Papa

    Sharh maqola20222 iqtibos
    ABI

  4. Predicting the carbon dioxide emission caused by road transport using a Random Forest (RF) model combined by Meta-Heuristic Algorithms

    Hamed Khajavi, Amir Rastgoo

    Maqola20232 iqtibos
    ABI

  5. Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions

    Mohammad Mustafa Taye

    Maqola20232 iqtibos
    ABI

  6. QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network

    Md Abrar Jahin, Md Sakib Hossain Shovon, Md. Saiful Islam +3

    Maqola20232 iqtibos
    ABI

  7. A Resource-Based Dynamic Pricing and Forced Forwarding Incentive Algorithm in Socially Aware Networking

    Xuemin Zhang, Yuan Li, Zenggang Xiong +3

    Maqola20242 iqtibos
    ABI

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