QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction
Using Interpretable Hybrid Quantum-Classical Neural Network

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QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network

24 July 2023

Md Sakib Hossain Shovon

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Papers citing "QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum-Classical Neural Network"

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Title
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems Md Abrar Jahin Adiba Abid M. F. Mridha 24 0 0 16 Jun 2025
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. F. Mridha Nilanjan Dey Zeyar Aung 203 0 0 03 Nov 2024
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Md Abrar Jahin Asef Shahriar Md Al Amin AI4TS 79 5 0 24 May 2024
TRABSA: Interpretable Sentiment Analysis of Tweets using Attention-based BiLSTM and Twitter-RoBERTa Md Abrar Jahin Md Sakib M. M. Mridha Hossain Shovon Yutaka Watanobe 42 0 0 30 Mar 2024
Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques Md Abrar Jahin Md Sakib Hossain Shovon Jungpil Shin Istiyaque Ahmed Ridoy M. F. Mridha AI4TS 61 15 0 24 Jul 2023