Optimizing Multilayer Perceptron for Car Purchase Prediction with GridSearch and Optuna [PDF]
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Multilayer Perceptron (MLP) is a powerful machine learning algorithm capable of modeling complex, non-linear relationships, making it suitable for predicting car purchasing power. However, its performance depends on hyperparameter tuning and data quality.
Ginanti Riski, Dedy Hartama, Solikhun
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Gazi Üniversitesi Fen Bilimleri DergisiKonut fiyatlarının etkili bir şekilde tahmin edilmesi, ekonominin şekillenmesinde kritik bir rol oynamaktadır. Bu çalışmanın amacı, konut fiyatlarını tahminlemede en iyi performans gösteren makine öğrenmesi modelini belirlemektir.
Vahid Sinap
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Enhancing Liver Cirrhosis Staging Accuracy using Optuna-Optimized TabNet [PDF]
Journal of Applied Informatics and ComputingLiver cirrhosis is a progressive chronic disease whose early detection poses a clinical challenge, making accurate severity staging crucial for patient management.
Muhammad Farhan Arifin +4 more
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Fresh Meat Classification Using Laser-Induced Breakdown Spectroscopy Assisted by LightGBM and Optuna
FoodsTo enhance the accuracy of identifying fresh meat varieties using laser-induced breakdown spectroscopy (LIBS), we utilized the LightGBM model in combination with the Optuna algorithm.
Xiangyou Li, Yun Tang
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Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna [PDF]
Journal of Electrical Engineering and ComputerAutomatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using ...
Iasya Sholihin, Andi Sunyoto
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Estimating thermal radiation of vertical jet fires of hydrogen pipeline based on linear integral and machine learning [PDF]
Scientific ReportsAccurate and efficient prediction of thermal radiant of hydrogen jet fire is important to schedule safety design and emergency rescue program for hydrogen pipelines. In response, this paper proposes a novel Optuna-improved back propagation neural network
Anqing Fu +4 more
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Application of the Optuna-NeuralProphet model for predicting step-like landslide displacement
AIP AdvancesDisplacement prediction is crucial to landslide engineering monitoring and early warning. An Optuna-NeuralProphet model is proposed based on the Optuna framework and the NeuralProphet model to address the challenge of predicting step-like landslide ...
Ming Huang, Hougang Yang, Fan Yang
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Prediksi Inflasi Bulanan Menggunakan LightGBM dan Optimasi Hyperparameter Berbasis Optuna
Techno.ComInflasi merupakan indikator makroekonomi penting yang mencerminkan perubahan tingkat harga barang dan jasa serta berpengaruh terhadap stabilitas ekonomi dan pengambilan kebijakan.
Dian Maharani +2 more
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Analysis of Gradient Boosting Algorithms with Optuna Optimization and SHAP Interpretation for Phishing Website Detection [PDF]
Journal of Applied Informatics and ComputingPhishing remains a persistent cybersecurity threat, evolving rapidly to bypass traditional blacklist-based detection systems. Machine Learning (ML) approaches offer a promising solution, yet finding the optimal balance between detection accuracy and ...
Rahmat Fauzi Abu Bakar, Majid Rahardi
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ModellingActive vibration control designs for journal bearings have improved rotordynamic stability and led to advancements in adjustable bearing types that enable precise control of bearing geometry. In this study, optimized machine learning (ML) algorithms were
Girish Hariharan +5 more
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