A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification by Ayuningtyas Hari Fristiana, Syukron Abu Ishaq Alfarozi, Adhistya Erna Permanasari, Mahardhika Pratama, Sunu Wibirama

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Early breast cancer detection via infrared thermography using a CNN enhanced with particle swarm optimization by Riyadh M. Alzahrani, Mohamed Yacin Sikkandar, S. Sabarunisha Begum, Ahmed Farag Salem Babetat, Maryam Alhashim, Abdulrahman Alduraywish, N. B. Prakash, Eddie Y. K. Ng

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Analisis Algoritma Klasifikasi Untuk Mengidentifikasi Potensi Risiko Kesehatan Ibu Hamil by Jajang Jaya Purnama, Nina Kurnia Hikmawati, Sri Rahayu

Subjects: “…Kesehatan ibu hamil, klasifikasi, hyperparameter tuning.…”
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Short-Term Electrical Load Forecasting Through Optimally Configured Long Short-Term Memory by Somasundaram Vasudevan, Kandasamy Jothinathan

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GRID SEARCH AND RANDOM SEARCH HYPERPARAMETER TUNING OPTIMIZATION IN XGBOOST ALGORITHM FOR PARKINSON’S DISEASE CLASSIFICATION by Shafa Fitria Aqilah Khansa, Nurissaidah Ulinnuha, Wika Dianita Utami

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Federated Learning With Automated Dual-Level Hyperparameter Tuning by Rakib Ul Haque, Panagiotis Markopoulos

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Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance by Fernando Rezende Zagatti, Gilson Yuuji Shimizu, Daniel Lucredio, Helena de Medeiros Caseli

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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

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

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Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations by Min-Hwa Choi, Woongchang Yoon

Subjects: “…Hyperparameter tuning…”
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Enhancing airport services: data-driven analysis of passenger satisfaction and service quality in Southeast Asia by Pholsook Thitinan, Ramjan Sarawut, Wipulanusat Warit

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XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models by Luyl-Da Quach, Nguyen Quoc Khang, Nguyen Thai-Nghe, Chi-Ngon Nguyen

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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

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Comparative analysis of deep neural network architectures for renewable energy forecasting: enhancing accuracy with meteorological and time-based features by Sunawar Khan, Tehseen Mazhar, Muhammad Amir Khan, Tariq Shahzad, Wasim Ahmad, Afsha Bibi, Mamoon M. Saeed, Habib Hamam

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Development and Optimization of a Construction Personal Protective Equipment (PPE) Detection Model on YOLOv8 Architecture by Zidan Rafindra Utomo, Prajanto Wahyu Adi, Priyo Sidik Sasongko, Gohar Rahman

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Cardiac Clarity: Harnessing Machine Learning for Accurate Heart-Disease Prediction by Sujith Santhosh, Krishnaraj Chadaga, R.Vijaya Arjunan, Sandra D'Souza

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Leading Degree: A Metric for Model Performance Evaluation and Hyperparameter Tuning in Deep Learning-Based Side-Channel Analysis by Junfan Zhu, Jiqiang Lu

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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

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Logistics Hub Surveillance: Optimizing YOLOv3 Training for AI-Powered Drone Systems by Georgios Tepteris, Konstantinos Mamasis, Ioannis Minis

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A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics by Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun

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