Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

“…The DA method is comprehensively evaluated under controlled conditions using permuted subset pairs of the partitioned dataset. The framework is applied to two popular datasets – the Case Western Reserve University (CWRU) and Paderborn University (PU) bearing fault datasets. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…To this end, there exists a need to evaluate the SCD models using the same dataset. Thus, in this research study, we carried out a comparative investigation and evaluated predominate pre-trained models used to detect SCD using the same dataset to ascertain which one has the best accuracy. …”
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Pengaruh Prediksi Missing Value pada Klasifikasi Decision Tree C4.5 by Aji Seto Arifianto, Kursita Dewi Safitri, Khafidurrohman Agustianto, I Gede Wiryawan

“…Mengukur akurasi kedua rules tree C4.5 dilakukan menguji 40 data test, hasilnya 90% untuk rule dengan missing value dan 95% untuk dataset yang telah diprediksi nilainya.   Abstract The supervised learning approach to data classification requires a complete dataset. …”
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Delayed Postoperative Ambulation Results in a Significant Increase in 90-Day Mortality in Surgically Treated Hip Fractures by Robert S. Wood DO, Maddie Vergun BS, Elizabeth Herrera MPH, Jacqueline Krumrey MD

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45 years of directional wave recorded data at the Acqua Alta oceanographic tower by Luigi Cavaleri, Angela Pomaro, Luciana Bertotti, Andrea Bonometto, Luca De Nat, Alvise Papa, Valerio Volpe

“…Abstract The dataset comprises a 45-year-long directional wave time series recorded at the Acqua Alta Oceanographic research Tower (AAOT) since 1979. …”
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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

“…For many sensing applications, collecting a large experimental dataset could be a time-consuming and expensive task that can also hinder the implementation of Machine Learning models for analyzing sensor data. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Selanjutnya, kinerja model dibandingkan berdasarkan ukuran dataset. Dataset terdiri dari 21165 citra, dengan pembagian 10% sebagai data uji dan 90% data dibagi menjadi data latih (80%) dan data validasi (20%). …”
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Individualized resting-state functional connectivity abnormalities unveil two major depressive disorder subtypes with contrasting abnormal patterns of abnormality by Keke Fang, Lianjie Niu, Baohong Wen, Liang Liu, Ya Tian, Huiting Yang, Ying Hou, Shaoqiang Han, Xianfu Sun, Wenzhou Zhang

“…In this study, we sought to identify potential MDD subtypes from subject-level abnormalities in functional connectivity, leveraging a large multi-site dataset of resting-state MRI from 1276 MDD patients and 1104 matched healthy controls. …”
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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…Dataset yang diklasifikasikan dengan algoritma C4.5 memperoleh akurasi sebesar 72,98%. …”
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Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram by Syahroni Wahyu Iriananda, Renaldi Widi Budiawan, Aviv Yuniar Rahman, Istiadi Istiadi

“…Eksperimen dilakukan dengan berbagai skenario, termasuk variasi jumlah data, pengaturan hyperparameter, rasio dataset pelatihan dan pengujian, serta konfigurasi N-Gram. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

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Deteksi Tingkat Kematangan Buah Pepaya menggunakan Model Convolutional Neural Network by Naufal Putra Sutrisna, Rafifa Addin Sahirah, Khansa Salsabila Sangdiva Laksono, Raditya Atmaja Satria Permadhi, Nadhira Nurannisa, Saqina Salsabila Larasati, Wahayu Widyaning Asmani, Novanto Yudistira

“…Dalam penelitian ini, diperkenalkan pendekatan inovatif dengan menggunakan Convolutional Neural Network (CNN) untuk mengatasi permasalahan tersebut. Dataset yang digunakan merupakan dataset gambar buah pepaya dalam berbagai tingkat kematangan. …”
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Training under pressure mirrors competition: technical-tactical insights from high-level male padel players by Rafael Conde-Ripoll, Adrián Escudero-Tena, Vicente Javier Clemente-Suárez, Vicente Javier Clemente-Suárez, Eduardo Navarro Jimenez, Álvaro Bustamante-Sánchez

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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…One of the challenges in preparing the dataset is grouping a large number of script image samples according to the number of characters. …”
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Comparison of Real-world Outcomes Between Patients Treated with Tapentadol ER or Oxycodone CR by Mike Durkin, Jacqueline Pesa, Jessica Lopatto, Rachel Halpern, Damon Van Voorhis, Stephanie Korrer

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Incremental Healthcare Costs and Outpatient Antifungal Treatment of Patients with Aspergillosis in the United States by Emily Durden, Donna McMorrow, Paul Juneau, Robert Fowler, Paresh Chaudhari, David Horn

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First record of stone moroko (Pseudorasbora parva), an invasive alien fish species, in water bodies of urban green areas in Poland by Wróblewski Paweł, Maciaszek Rafał, Kasprzak Robert

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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…The method was validated on the PLAID dataset, achieving an average F1 score of 97.3%. Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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Predict Diabetes Using Voting Classifier and Hyper Tuning Technique by Chra Ali Kamal, Manal Ali Atiyah

“…The Pima Indian Diabetes Dataset (PIDD) was utilized for this framework as it is common and appropriate dataset in .CSV format. …”
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Mobile Integrated Healthcare: Preliminary Experience and Impact Analysis with a Medicare Advantage Population by Daniel J. Castillo, J. Brent Myers, Jonathan Mocko, Eric H. Beck

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