Exploring the impact of fixed theta values in RoPE on character-level language model performance and efficiency by Zhigao Huang, Musheng Chen, Shiyan Zheng

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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

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Optimizing a Machine Learning Algorithm by a Novel Metaheuristic Approach: A Case Study in Forecasting by Bahadır Gülsün, Muhammed Resul Aydin

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Predicting the Classification of Heart Failure Patients Using Optimized Machine Learning Algorithms by Marzia Ahmed, Mohd Herwan Sulaiman, Md Maruf Hassan, Touhid Bhuiyan

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Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification by Sofia El Amoury, Youssef Smili, Youssef Fakhri

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Optimized XGBoost modeling for accurate battery capacity degradation prediction by Sadiqa Jafari, Ji-Hyeok Yang, Yung-Cheol Byun

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Multi-UAV Obstacle Avoidance and Formation Control in Unknown Environments by Yawen Li, Pengfei Zhang, Zhongliu Wang, Dian Rong, Muyang Niu, Cong Liu

Subjects: “…Random Search for Hyperparameter Optimization…”
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Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

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Optimised RFO tuned RF-DETR model for precision urine microscopy for renal and systemic disease diagnosis by Neeraj Dahiya, Deo Prakash, Shakti Kundu, Shanu Rakesh Kuttan, Isha Suwalka, Manel Ayadi, Mitiku Dubale, Arshad Hashmi

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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

Subjects: “…diabetes mellitus; imbalanced datasets; preprocessing; resampling; smote-enn; least square support vector machine; hyperparameter; optimization.…”
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Enhancing Multi-Disease Prediction with Machine Learning: A Comparative Analysis and Hyperparameter Optimization Approach by Mariam Kili Bechir, Ferhat Atasoy

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Stroke Detection in Brain CT Images Using Convolutional Neural Networks: Model Development, Optimization and Interpretability by Hassan Abdi, Mian Usman Sattar, Raza Hasan, Vishal Dattana, Salman Mahmood

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Deep neural network based distribution system state estimation using hyperparameter optimization by Gergő Békési, Lilla Barancsuk, Bálint Hartmann

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Hardware-Centric Exploration of the Discrete Design Space in Transformer–LSTM Models for Wind Speed Prediction on Memory-Constrained Devices by Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Kashish Ara Shakil, Mudasir Ahmad Wani, Muhammad Asim

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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

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Daily-Scale Fire Risk Assessment for Eastern Mongolian Grasslands by Integrating Multi-Source Remote Sensing and Machine Learning by Risu Na, Byambakhuu Gantumur, Wala Du, Sainbuyan Bayarsaikhan, Yu Shan, Qier Mu, Yuhai Bao, Nyamaa Tegshjargal, Battsengel Vandansambuu

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A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement by Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb

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Classification of Indian classical dances using MnasNet architecture with advanced polar fox optimization for hyperparameter optimization by Xuechen Yan, Jing Yang, Togrol Salami

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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

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Shield tunneling efficiency and stability enhancement based on interpretable machine learning and multi-objective optimization by Wenli Liu, Yang Chen, Tianxiang Liu, Wen Liu, Jue Li, Yangyang Chen

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