Pseudo-Random Number Generators for Stochastic Computing (SC): Design and Analysis by Pilin Junsangsri, Fabrizio Lombardi

“…A sliding window approach is employed for reading data in both the horizontal and vertical directions; therefore, the sets of random numbers are generated by doubling the datasets and inverting the duplicated datasets. Flip-Flops are utilized to isolate the datasets and diminish correlation among them. …”
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GuideLiner Balloon Assisted Tracking (GBAT): A New Addition to the Interventional Toolbox by Basem Elbarouni, Motaz Moussa, Malek Kass, Olga Toleva, Minh Vo, Amir Ravandi

“…The use of guide extension catheters, such as GuideLiner, allows for increased guide support and facilitates device delivery in tortuous vessels. …”
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Integrated gene expression and alternative splicing analysis in human and mouse models of Rett syndrome by Silvia Gioiosa, Silvia Gasparini, Carlo Presutti, Arianna Rinaldi, Tiziana Castrignanò, Cecilia Mannironi

“…To perform a comparative analysis of publicly available RNA sequencing (RNA-seq) studies and generate novel data resources for AS, we explored 100 human datasets and 130 mouse datasets from Mecp2-mutant models, processing data for gene expression and alternative splicing. …”
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Candida albicans Fungaemia following Traumatic Urethral Catheterisation in a Paraplegic Patient with Diabetes Mellitus and Candiduria Treated by Caspofungin by Subramanian Vaidyanathan, Bakul Soni, Peter Hughes, Gordon Ramage, Leighann Sherry, Gurpreet Singh, Paul Mansour

“…A 58-year-old paraplegic male, with long-term indwelling urethral catheter, developed catheter block. The catheter was changed, but blood-stained urine was drained intermittently. …”
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Modern Geodata Management: Application of Interdisciplinary Interpretation and Visualization in Central America by T. Damm, H.-J. Götze

“…Clearly related with the storage and retrieval of different datasets is the need of visualization. 3D visualization in geoscientific interpretation is a useful tool, if numerous, heterogenic datasets have to be visualized at the same time. …”
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Research on Sarcastic Emotion Recognition Based on Multiple Feature Fusion by Si Kaihao

“…Despite considerable advancements in this field, research results remain fragmented across diverse datasets and studies. This paper offers a critical review of two predominant models in sarcasm detection. …”
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Hybrid clustering strategies for effective oversampling and undersampling in multiclass classification by Amirreza Salehi, Majid Khedmati

“…Abstract Multiclass imbalance is a challenging problem in real-world datasets, where certain classes may have a low number of samples because they correspond to rare occurrences. …”
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COVID-19 World Vaccine Adverse Reactions Based on Machine Learning Clustering Algorithm by Lozan M. Abdulrahman, Adnan Mohsin Abdulazeez, Dathar A. Hasan

“…For clustering COVID-19 vaccine adverse reactions datasets, a variety of clustering algorithms are used. …”
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Robust ensemble of handcrafted and learned approaches for DNA-binding proteins by Loris Nanni, Sheryl Brahnam

“…Originality/value – Most DNA-BP methods proposed in the literature are only validated on one (rarely two) datasets/tasks. In this work, the authors report the performance of our general-purpose DNA-BP system on four datasets representing different DNA-BP classification tasks. …”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…The heart failure microarray datasets and RNA-seq datasets have been downloaded from the public database. …”
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Gorilla Troops Optimizer Combined with ANFIS for Wire Cut EDM of Aluminum Alloy by Elango Natarajan, V. Kaviarasan, Wei Hong Lim, S. Ramesh, K. Palanikumar, T. Sekar, V. H. Mok

“…These 500 datasets are approximated data derived from experimental datasets, known as synthetic data. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Multiple anomalies and considerable intraclass variation make industrial datasets tough. Further, research is needed to create robust, efficient techniques that generalize datasets and detect anomalies in complex industrial images. …”
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Comparison of algorithms for the recognition of ChatGPT paraphrased texts by Aleksandar Kartelj, Miljana Mladenović, Staša Vujičić Stanković

“…Both datasets were subjected to ChatGPT paraphrasing, which allowed us to form two classes of texts: human-written and AI-generated, i.e., AI-paraphrased. …”
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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

“…The objective is to identify the most suitable ensemble number for weak learners to maximize accuracy on benchmark datasets. The EM model uses 14 weak learners. Twenty-one experimental runs are performed on 15 software-defective module datasets. …”
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Is Single-View Fluoroscopy Sufficient in Guiding Cardiac Ablation Procedures? by Pascal Fallavollita

“…The CARTO XP ablation system provides real-time data on 3D, color-coded maps of the electrical activity of the heart; however, it is expensive and can only use a dedicated costly magnetic catheter per patient intervention. The purpose of our study is to shorten the duration of the radiofrequency ablation procedure and increase its efficacy by developing an affordable prototype catheter navigation system that simulates the CARTO system. …”
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Explainable Self-Supervised Dynamic Neuroimaging Using Time Reversal by Zafar Iqbal, Md. Mahfuzur Rahman, Usman Mahmood, Qasim Zia, Zening Fu, Vince D. Calhoun, Sergey Plis

“…TR aims to learn temporal dependencies in data, leveraging large datasets for pretraining and applying this knowledge to improve schizophrenia classification on smaller datasets. …”
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Effective Density-Based Clustering Algorithms for Incomplete Data by Zhonghao Xue, Hongzhi Wang

“…The performances of the proposed algorithms are evaluated using ten synthetic datasets and five real-world datasets with induced missing values. …”
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Geographical Origin Identification of <italic>Panax notoginseng</italic> Using a Modified K-Nearest Neighbors Model With Near-Infrared Spectroscopy by Xuefeng Cheng, Min Liao, Juan Liu

“…Comparative analyses reveal that the modified K-nearest neighbors surpasses classic K-nearest neighbors and other models, achieving up to 96.90% accuracy on balanced datasets and 95.79% on imbalanced datasets. These results demonstrate the potential of combining spectral data processing with advanced machine learning techniques for efficient and accurate geographical origin identification, providing a robust tool for quality assurance and traceability in traditional Chinese medicine.…”
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Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks by Shihua Liu

“…Experimental results on real University of California-Irvine (UCI) datasets showed that the proposed AMDPC algorithm could realize adaptive clustering of mixed-attribute data, can automatically obtain the correct number of clusters, and improved the clustering accuracy of all datasets by more than 22.58%, by 24.25%, by 28.03%, by 22.5%, and by 10.12% for the Heart, Cleveland, Credit, Acute, and Adult datasets compared to that of the traditional K-prototype algorithm, respectively. …”
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Coordinate Descent-Based Sparse Nonnegative Matrix Factorization for Robust Cancer-Class Discovery and Microarray Data Analysis by Melisew Tefera Belachew

“…Determining the number of clusters in high-dimensional real-life datasets and interpreting the final outcome are among the challenging problems in data science. …”
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