A Novel Hybrid Autoregressive Integrated Moving Average and Artificial Neural Network Model for Cassava Export Forecasting by Warut Pannakkong, Van-Nam Huynh, Songsak Sriboonchitta

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Multi-objective Optimization of Freight Route Choices in Multimodal Transportation by Kwanjira Kaewfak, Veeris Ammarapala, Van-Nam Huynh

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A Novel Cluster Prediction Approach Based on Locality-Sensitive Hashing for Fuzzy Clustering of Categorical Data by Toan Nguyen Mau, Yasushi Inoguchi, Van-Nam Huynh

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Rapid Production Rescheduling for Flow Shop Under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs) by Pakkaporn Saophan, Warut Pannakkong, Raveekiat Singhaphandu, Van-Nam Huynh

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A Hybrid Reinforcement Learning-Based Model for the Vehicle Routing Problem in Transportation Logistics by Thananut Phiboonbanakit, Teerayut Horanont, Van-Nam Huynh, Thepchai Supnithi

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A Risk Analysis Based on a Two-Stage Model of Fuzzy AHP-DEA for Multimodal Freight Transportation Systems by Kwanjira Kaewfak, Van-Nam Huynh, Veeris Ammarapala, Nantaporn Ratisoontorn

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Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm by Pornpawee Supsermpol, Van Nam Huynh, Suttipong Thajchayapong, Navee Chiadamrong

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Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning by Quoc-Dai Luong Tran, Anh-Cuong Le, Van-Nam Huynh

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GSIC: A New Interpretable System for Knowledge Exploration and Classification by Thanh-Phu Nguyen, Su Nguyen, Damminda Alahakoon, Van-Nam Huynh

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Incorporating Active Learning into Machine Learning Techniques for Sensory Evaluation of Food by Nhat-Vinh Lu, Roengchai Tansuchat, Takaya Yuizono, Van-Nam Huynh

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A Mass-Based Approach for Local Outlier Detection by Anh Hoang, Toan Nguyen Mau, Duc-Vinh Vo, Van-Nam Huynh

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A Multi-Criteria Collaborative Filtering Approach Using Deep Learning and Dempster-Shafer Theory for Hotel Recommendations by Quang-Hung Le, Toan Nguyen Mau, Roengchai Tansuchat, Van-Nam Huynh

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A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting by Lalitpat Aswanuwath, Warut Pannakkong, Jirachai Buddhakulsomsiri, Jessada Karnjana, Van-Nam Huynh

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A Demand-Driven Model for Reallocating Workers in Assembly Lines by Randall Mauricio Perez-Wheelock, Wei Ou, Pisal Yenradee, Van-Nam Huynh

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An Improved Hybrid Approach for Daily Electricity Peak Demand Forecasting during Disrupted Situations: A Case Study of COVID-19 Impact in Thailand by Lalitpat Aswanuwath, Warut Pannakkong, Jirachai Buddhakulsomsiri, Jessada Karnjana, Van-Nam Huynh

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Mining Insights From Esports Game Reviews With an Aspect-Based Sentiment Analysis Framework by Yang Yu, Duy-Tai Dinh, Ba-Hung Nguyen, Fangyu Yu, Van-Nam Huynh

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An Efficient Method for Mining Closed Potential High-Utility Itemsets by Bay Vo, Loan T. T. Nguyen, Nguyen Bui, Trinh D. D. Nguyen, Van-Nam Huynh, Tzung-Pei Hong

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A Customer-Driven Evaluation Method for Service Innovation in Banking by Nu Dieu Khue Ngo, Roengchai Tansuchat, Pham-Van Cu, Toan Nguyen Mau, Youji Kohda, Van-Nam Huynh

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