Predicting attributes based movie success through ensemble machine learning by Vedika, Vedika, Jain, Nikita, Garg, Harshit, Jhunthra, Srishti, Mohan, Senthilkumar, Omar, Abdullah Hisam, Ahmadian, Ali

“…The various machines learning algorithms SVM, KNN, Naive Bayes, Boosting Ensemble Technique, Stacking Ensemble Technique, Voting Ensemble Technique, and MLP Neural Network are applied on the dataset to predict the box office success of a movie. The paper uses various algorithms and their trends in predicting the outcome of a movie and shows that the proposed methodology outperforms the existing studies. …”

A Lightweight Fruit Load Estimation Model for Edge Computing Equipment by XIA Xue, CHAI Xiujuan, ZHANG Ning, ZHOU Shuo, SUN Qixin, SUN Tan

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