Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

“…These datasets include two X-ray collections: the COVID-19 Pneumonia Normal Chest PA Dataset and the Osteoporosis Knee X-ray Dataset; two CT scan datasets: the Chest CT-Scan Images Dataset and the Brain Stroke CT Image Dataset; two MRI datasets: the Breast Cancer Patients MRI and the Brain Tumor MRI Dataset; and two ultrasound datasets: the Ultrasound Breast Images for Breast Cancer and the MT Small Dataset. …”
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Sistem Identifikasi Pembicara Berbahasa Indonesia Menggunakan X-Vector Embedding by Alim Misbullah, Muhammad Saifullah Sani, Husaini, Laina Farsiah, Zahnur, Kikye Martiwi Sukiakhy

“…Model dibangun dengan menggunakan dataset VoxCeleb sebagai data latih dan dataset INF19 sebagai data uji yang dikumpulkan dari suara mahasiswa dan mahasiswi Informatika Universitas Syiah Kuala angkatan 2019. …”
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Cross-sectional Study of EMG and EMG Rise During Fast and Slow Hamstring Exercises by Kasper Krommes, Markus Due Jakobsen, Thomas Bandholm, Lars Louis Andersen, Mette Zebis, Anthony Shield, Per Hölmich, Kristian Thorborg

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Safeguards-related event detection in surveillance video using semi-supervised learning approach by Se-Hwan Park, Byung-Hee Won, Seong-Kyu Ahn

“…We evaluate the model's performance using a benchmark dataset and a self-produced dataset obtained from facility related to pyroprocessing. …”
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A knowledge embedded multimodal pseudo-siamese model for atrial fibrillation detection by Chenglin Lin, Huimin Lu, Pengcheng Sang, Chenyu Pan

“…The F1 score of our proposed model on the CinC 2017 dataset and MIT-BIH dataset was 0.787 and 0.970, respectively.…”
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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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Alignment-Free and High-Frequency Compensation in Face Hallucination by Yen-Wei Chen, So Sasatani, Xian-Hua Han

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Context-Aware Attention Network for Human Emotion Recognition in Video by Xiaodong Liu, Miao Wang

“…With the HEIV dataset, we trained a context-aware attention network (CAAN) to recognize human emotion. …”
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Pattern Reconfigurable Wideband Stacked Microstrip Patch Antenna for 60 GHz Band by Alexander Bondarik, Daniel Sjöberg

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Evaluating the Performance of SVM, Isolation Forest, and DBSCAN for Anomaly Detection by Lu Haowen

“…With the advancement of computer technologies, various data models and algorithms have been integrated into industrial processes, significantly improving the efficiency of anomaly detection in datasets while reducing time and energy consumption. …”
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Failure Modes and Fault Morphology by Adam J. Cawood, David A. Ferrill, Kevin J. Smart

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MA-VoxelMorph: Multi-scale attention-based VoxelMorph for nonrigid registration of thoracoabdominal CT images by Qing Huang, Lei Ren, Tingwei Quan, Minglei Yang, Hongmei Yuan, Kai Cao

“…Our method was evaluated on four public lung datasets (DIR-Lab dataset, Creatis dataset, Learn2Reg dataset, OASIS dataset) and a local dataset. …”
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Epidemiology and Factors Influencing Davis Cup Retirements Over the Past Twenty Years by Martí Casals, Jordi Cortés, Daniel Llenderrozos, Miguel Crespo, Timothy E. Hewett, Lorena Martin, Ernest Baiget

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Audio classification using grasshopper‐ride optimization algorithm‐based support vector machine by Suryabhan Pratap Singh, Umesh Chandra Jaiswal

“…The experimentation of the proposed method is done using two datasets, namely TUT sound event 2017 dataset and ESC dataset. …”
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Bird diversity in different vegetation types in the Pacific coastal plain of Guatemala by Sofia Aguilar-Jocol, Michelle Bustamante-Castillo, Marco Tax

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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

“…With 90% accuracy on a validation dataset, the random forest model predicts pleural fluid volatile organic compounds efficiently. …”
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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

“…In contrast, convolutional neural networks (CNN) models require large datasets to reduce overfitting and poor generalization. …”
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A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals by Mohammad Amin Shayegan, Saeed Aghabozorgi, Ram Gopal Raj

“…Finally, the size of initial feature vector was reduced from 100% to 59.40% (79 elements) for the MNIST dataset, and to 43.61% (58 elements) for the Hoda dataset, in order. …”
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Effective Evolutionary Algorithm for Solving the Real-Resource-Constrained Scheduling Problem by Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan, Naixue Xiong

“…In order to verify the proposed algorithm, the experiments were conducted on two datasets: (i) the iMOPSE simulation dataset that previous studies had used and (ii) the actual TNG dataset collected from the textile company TNG. …”
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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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