Impact of JPEG compression on the metrological characteristics of industrial CT data by Steffen Kieß, Robin Trostorf, Hieu Tran, Jajnabalkya Guhathakurta, Sven Simon, Ulrich Neuschaefer-Rube

“… The basis of metrology with computed tomography (CT) are volume datasets with increasing sizes in the two- or three-digit GB range due to the increasing detector resolutions in the double-digit MPixel range. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…Classifiers today face numerous challenges, including overfitting, high computational costs, low accuracy, imbalanced datasets, and lack of interpretability. Additionally, traditional methods often struggle with noisy or missing data. …”
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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

“…Currently, while deep convolutional neural networks (DCNNs) have shown promise in breast cancer detection, their application is often hampered by privacy concerns associated with sharing patient data and the limitation of training on small, localized datasets. Addressing these challenges, this manuscript introduces an effective federated learning approach tailored for breast cancer detection, leveraging DCNNs across diverse and large datasets without compromising data privacy. …”
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High-resolution mapping of evapotranspiration over heterogeneous cropland affected by soil salinity by Meihan Liu, Huimin Lei, Xingwang Wang, Paula Paredes

“…Although advances in remote sensing have enhanced ET estimates, high spatial (30 m) and temporal resolution (daily) datasets, which are critical for detailed monitoring remain scarce. …”
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Enterovesical Fistula: A Rare Complication of Urethral Catheterization by Amr Hawary, Laurence Clarke, Alasdair Taylor, Peter Duffy

“…This report describes the case of an eighty-two-year old lady with an indwelling urethral catheter inserted eight years prior to her presentation to manage her urinary incontinence. …”
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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

“…While RGB adjustments improved performance in our study, their generalizability to diverse datasets and clinical settings has yet to be validated. …”
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Surprise Bug Report Prediction Utilizing Optimized Integration with Imbalanced Learning Strategy by Hui Li, Yang Qu, Shikai Guo, Guofeng Gao, Rong Chen, Guo Chen

“…This method takes into account the textual features of the bug reports and employs an imbalanced learning strategy to balance the datasets of the bug reports. Then these datasets after balancing are used to train three selected classifiers which are built by three different classification algorithms and predict the datasets with unknown type. …”
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Localization and detection of deepfake videos based on self-blending method by Junfeng Xu, Xintao Liu, Weiguo Lin, Wenqing Shang, Yuefeng Wang

“…However, these methods often suffer from limited generalization capabilities, exhibiting poor performance when detecting fake videos outside of their training datasets. Moreover, research on the precise localization of manipulated regions within deepfake videos is limited, primarily due to the absence of datasets with fine-grained annotations that specify which regions have been manipulated.To address these challenges, this paper proposes a novel spatial-based training method that does not require fake samples to detect spatial manipulations in deepfake videos. …”
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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The proposed HLM achieves a better accuracy rate across different datasets when compared with the existing models. The achieved accuracies are 99.02 %, 99.98 % and 99.63 % for the NSL-KDD, UNSW-NB15, and CICIDS2017 datasets respectively. …”
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Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution by Samuel, Kakuba, Alwin, Poulose

“…The proposed ABMD model obtained a recognition accuracy and F1 score of 93.75% and 92.50% on the SAVEE datasets, 85.89% and 85.34% on the RAVDESS datasets and 95.93% and 95.83% on the EMODB datasets. …”
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Anomaly Detection for Aviation Safety Based on an Improved KPCA Algorithm by Xiaoyu Zhang, Jiusheng Chen, Quan Gan

“…Thousands of flights datasets should be analyzed per day for a moderate sized fleet; therefore, flight datasets are very large. …”
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Dual-Channel Reasoning Model for Complex Question Answering by Xing Cao, Yun Liu, Bo Hu, Yu Zhang

“…Multihop question answering has attracted extensive studies in recent years because of the emergence of human annotated datasets and associated leaderboards. Recent studies have revealed that question answering systems learn to exploit annotation artifacts and other biases in current datasets. …”
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Ordinary AV Nodal Reentry Tachycardia-Unusual Ablation: A Case Report and Review of the Literature by Franz Haertel, P. Christian Schulze, Anett Große, Dirk Prochnau, Ralf Surber

“…A 72-year-old woman was referred to us with typical symptoms of paroxysmal supraventricular tachycardia for electrophysiological diagnostics and catheter ablation. During the first session of catheter ablation, a probing of the right ventricle was not successful. …”
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Transcatheter ventilation with a modified Rapid-O2 oxygen insufflation device by Jaewon Jang, Hye Jin Kim, Hyun Joo Kim, Wyun Kon Park

“…Methods To determine the most effective combination of inner catheters (20 gauge [G], 18 G, 16 G, 14 G, and 2-mm inner diameter [ID] transtracheal catheter [TTC]) and insufflation catheters (16 G, 14 G, and 2-mm ID TTC) for achieving optimum ventilation, insufflating and expiratory flows were measured at an oxygen flow rate of 15 L/min. …”
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Transvaginal Drainage of Pelvic Abscesses and Collections Using Transabdominal Ultrasound Guidance by Kevin C. Ching, Jules H. Sumkin

“…To evaluate clinical outcomes following transvaginal catheter placement using transabdominal ultrasound guidance for management of pelvic fluid collections. …”
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Surgery Averted Using a Novel, Minimally Invasive Approach to Treat Very Severe Radial Artery Spasm by Anthony A. Cochet, Daniel A. Bellin

“…Despite possessing none of the consensus risk factors for radial artery spasm, in addition to receiving standard arterial spasm prophylaxis and conscious sedation, the patient suffered very severe radial artery spasm with initial catheter placement, resulting in entrapment of a 5 Fr pigtail catheter within the left ventricle. …”
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Positional embeddings and zero-shot learning using BERT for molecular-property prediction by Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, Kyuri Jo, Young-Seob Jeong

“…In this study, newly proposed datasets from different domains were introduced during fine-tuning in addition to the existing and commonly used datasets. …”
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Spatial integration of multi-omics single-cell data with SIMO by Penghui Yang, Kaiyu Jin, Yue Yao, Lijun Jin, Xin Shao, Chengyu Li, Xiaoyan Lu, Xiaohui Fan

“…We benchmark SIMO on simulated datasets, demonstrating its high accuracy and robustness. …”
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Clinical Accuracy of Instrument-Read SARS-CoV-2 Antigen Rapid Diagnostic Tests (Ag-IRRDTs) by Ali Umit Keskin, Pinar Ciragil, Aynur Eren Topkaya

“…We used PRISMA Checklist and searched databases (PubMed, Web of Science Core Collection and FIND) for publications evaluating the accuracy of SARS-CoV-2 Ag-IRRDTs as of 30 September 2021, and included 40 independent clinical studies resulting in 48 Ag-IRRDT datasets with 137,770 samples. Across all datasets, pooled Ag-IRRDT sensitivity was 67.1% (95% CI: 65.9%–68.3%) and specificity was 99.4% with a tight CI. …”
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Few-shot Learning: Methods and Applications by Li Jiaxiang, Li Mingyang

“…Transfer learning-based FSL transfers knowledge acquired by models from large datasets to smaller ones, enhancing the learning outcomes. …”
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