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• ● An Edge-Based Approach to Partitioning and Overlapping Graph Clustering with User-Specified Density; Rohi Tariq, Kittichai Lavangnananda, Pascal Bouvry, et al.; 2024; บทความในวารสาร
• ● Partitioning Graph Clustering With User-Specified Density; ROHI TARIQ, KITTICHAI LAVANGNANANDA,PASCAL BOUVRY, et al.; 2023; บทความในวารสาร
• ● Scheduling Deep Learning Training in GPU Cluster Using the Model-Similarity-Based Policy; Thanapol P.; Lavangnananda K.; Leprvost F.; Schleich J.; Bouvry P.; 2023; Conference proceedings article
• ● Implementation of Predictive Model for Diarrhea among Afghanistan Children based on Medical and Non-medical Attributes; Abdullah Zahirzada, and Kittichai Lavangnananda; 2022; Conference proceedings article
• ● Application of machine learning in assignment of child delivery service in Afghanistan; Nasratullah Nasrat, Kittichai Lavangnananda; 2021; Conference proceedings article
• ● Implementing Predictive Model for Child Mortality in Afghanistan; Nasrat, Nasratullah; Lavangnananda, Kittichai; 2021; Conference proceedings article
• ● Implementing Predictive Model for Low Birth Weight in Afghanistan; Zahirzada, Abdullah; Lavangnananda, Kittichai;; 2021; Conference proceedings article
• ● Optimization of Carsharing Fleet Placement in Round-Trip Carsharing Service; Boonyarit Changaival, Kittichai Lavangnananda, Grégoire Danoy, et al.; 2021; บทความในวารสาร
• ● Challenges and Hurdles to E-learning Implementation during COVID-19 Outbreak: A Case of Shaikh Zayed University; Nasrat, Nasratullah; Khamosh, Abdurauf; Lavangnananda, et al.; 2020; Conference proceedings article
• ● Finding Overlapping Clusters in a Highly Connected Graph from a Given Difference Density; Lavangnananda, Kittichai; Hemmatqachmas, Muhammad Aslam; 2020; Conference proceedings article
• ● NGAP: A novel hybrid metaheuristic algorithm for round-trip carsharing fleet planning; Changaival, Boonyarit; Danoy, Grégoire; Kliazovich, et al.; 2020; Conference proceedings article
• ● Reducing Overfitting and Improving Generalization in Training Convolutional Neural Network (CNN) under Limited Sample Sizes in Image Recognition; Thanapol, Panissara; Lavangnananda, Kittichai; Bouvry, et al.; 2020; Conference proceedings article
• ● Determination of Different Sizes of Partitioning Clusters in a Highly Connected Graph; Lavangnananda K., Panyarit C.; 2019; บทความในวารสาร
• ● Extreme Solutions NSGA-III (E-NSGA-III) for Scientific Workflow Scheduling on Cloud; Wangsom P., Bouvry P., Lavangnananda K.; 2019; บทความในวารสาร
• ● Multi-Objective Scheduling for Scientific Workflows on Cloud with Peer-To-Peer Clustering; Wangsom P., Lavangnananda K., Bouvry P.; 2019; Conference proceedings article
• ● Multi-Objective Scientific-Workflow Scheduling with Data Movement Awareness in Cloud; Wangsom P., Lavangnananda K., Bouvry P.; 2019; บทความในวารสาร
• ● Multi-objective shipment allocation using extreme nondominated sorting genetic algorithm-III (E-NSGA-III); Lavangnananda K., Wangsom P.; 2019; Conference proceedings article
• ● Toward real-world vehicle placement optimization in round-trip carsharing; Changaival B., Guinand F., Danoy G., et al.; 2019; Conference proceedings article
• ● Logistic principle component analysis (L-PCA) for feature selection in classification; Jitrawadee Rapeepongpan; Praisan Padungweang; Kittichai Lavangnananda; 2018; Conference proceedings article
• ● Chaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics; Changaival B., Rosalie M., Danoy G., et al.; 2017; บทความในวารสาร

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