Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach by Meng Sun, Qiankun Luo, Yun Yang, Tongchao Nan, Jiangjiang Zhang, Lei Ma, Yu Li, Haichun Ma, Ming Lei, Yaping Deng, Jiazhong Qian

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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction by Eko Putra Wahyuddin, Rezzy Eko Caraka, Robert Kurniawan, Wahyu Caesarendra, Prana Ugiana Gio, Bens Pardamean

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Optimisasi Hyperparameter BiLSTM Menggunakan Bayesian Optimization untuk Prediksi Harga Saham by Fandi Presly Simamora, Ronsen Purba, Muhammad Fermi Pasha

“…This research aims to find the optimal hyperparameter configuration for the BiLSTM model using Bayesian Optimization. …”
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Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base by Yiyan Zhang, Yi Xin, Qin Li

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Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron by Kenta Shiomi, Tetsuya Sato, Eisuke Kita

“… This paper describes the application of particle swarm optimization (PSO) for the hyperparameter optimization problem of multi-layered perceptron (MLP) model. …”
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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…This experiment employs seven algorithms with hyperparameter optimization to obtain the best performance. …”
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The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification by Danang Wijayanto, Robert Marco, Acihmah Sidauruk, Mulia Sulistiyono

“…While numerous studies have explored various approaches for heart disease classification, challenges related to data imbalance and improper parameter settings remain persistent issues that affect model performance. This research evaluated the effectiveness of combining TabNet with SMOTE and optuna hyperparameter optimization for heart disease classification. …”
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Deep neural network based distribution system state estimation using hyperparameter optimization by Gergő Békési, Lilla Barancsuk, Bálint Hartmann

“…In the past decade, distribution system state estimation has become a crucial topic in power system research due to the increasing importance of distribution networks amidst the decline of centralized energy production. …”
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Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction by Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan

“…Additionally, a hybrid stacking model that combines these algorithms was developed. Hyperparameter optimization was conducted using grid search and genetic algorithm. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

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Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐Variate Deep Learning‐Based Rainfall Nowcasting by Amirmasoud Amini, Mehri Dolatshahi, Reza Kerachian

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MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification by Haonan Li, Vijay Govindarajan, Tan Fong Ang, Zaffar Ahmed Shaikh, Amel Ksibi, Yen-Lin Chen, Chin Soon Ku, Ming Chern Leong, Fatiha Hana Shabaruddin, Wan Zamaniah Wan Ishak, Lip Yee Por

“…However, their performance heavily relies on the proper configuration of hyperparameters. To overcome the inefficiencies and weaknesses of conventional hyperparameter optimization methods, like limited effectiveness and vulnerability to premature convergence, this research proposes a Multi-Strategy Parrot Optimizer (MSPO) and applies it to breast cancer image classification tasks. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Researchers developed various approaches to solve the automatic hate speech detection problem using different corpora in various languages, however, research on the Urdu language is rather scarce. …”
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CABLE NEWS NETWORK (CNN) ARTICLES CLASSIFICATION USING RANDOM FOREST ALGORITHM WITH HYPERPARAMETER OPTIMIZATION by Dewi Retno Sari Saputro, Krisna Sidiq

“…This research uses search cross-validation (SearchCV) method to optimize hyperparameters in the random forest by testing the combinations one by one and validating those. …”
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Implementation of Random Forest Method with Information Gain Selection and Hyperparameter Tuning for Alzheimer’s Disease Classification by Riska Nuril Fadhila, Nurissaidah Ulinnuha, Dian Yuliati, Nurissaidah Ulinnuha, Dian Yuliati

“…Using the Random Forest method with information gain feature selection and hyperparameter tuning optimization, this study aims to determine the results of optimization with feature selection and hyperparameter tuning using Random Search and Grid Search to classify Alzheimer's medical record data consisting of 32 variables, including lifestyle factors, clinical measurements, cognitive and functional assessments, as well as symptoms that indicate Alzheimer's. …”
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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

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Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset by Sahrul Fahrezi Fahrezi, Adhitya Nugraha, Ardytha Luthfiarta, Nauval Dwi Primadya

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Hyperparameter Optimization of Neural Networks Using Grid Search for Predicting HVAC Heating Coil Performance by Yosef Jaber, Pasidu Dharmasena, Adam Nassif, Nabil Nassif

“…The results highlighted the importance of hyperparameter tuning in improving model accuracy. Future research should extend the analysis to incorporate cooling operation and real-world building operation data for broader applicability.…”
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Advancing Arabic Word Embeddings: A Multi-Corpora Approach with Optimized Hyperparameters and Custom Evaluation by Azzah Allahim, Asma Cherif

“…The expanding Arabic user base presents a unique opportunity for researchers to tap into vast online Arabic resources. …”
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RETRACTED ARTICLE: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease by Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan

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