DADNet: text detection of arbitrary shapes from drone perspective based on boundary adaptation by Jun Liu, Jianxun Zhang, Ting Tang, Shengyuan Wu

“…Extensive experiments on challenging text detection datasets and drone-based text detection datasets validate the high robustness and state-of-the-art performance of our proposed method, laying a solid foundation for practical applications.…”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…Our method achieved F1-scores of 81.3% and 73.3% on the two datasets, respectively, while consistently maintaining a higher recall.…”
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Machine Learning-Based Lithium Battery State of Health Prediction Research by Kun Li, Xinling Chen

“…The models were validated using the NASA PCoE battery aging datasets B0005, B0006, and B0007, with prediction accuracy evaluated based on Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Coefficient of Determination (R²). …”
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Modeling to medical and economic data using: The transmuted power unit inverse Lindley distribution by Eman A. Eldessouky, Osama H. Mahmoud Hassan, Badr Aloraini, Ibrahim Elbatal

“…Modeling biomedical and economic data accurately poses considerable challenges due to the complexity of these datasets, which frequently display variability, skewness, and heavy tails. …”
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Correcting scale distortion in RNA sequencing data by Christopher Thron, Farhad Jafari

“…We examined several RNA-seq datasets from the Cancer Genome Atlas (TCGA), Stand Up 2 Cancer (SU2C), and GTEx databases with various types of preprocessing. …”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…Finally, the quantitative feedback from a user study confirms the usefulness of our visual system for the multimodal analysis of material damage datasets.…”
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High-throughput sequence-based microsatellite genotyping for the non-model Neotropical tree species Anadenanthera colubrina (Leguminosae) by Alejandra Lorena Goncalves, María Victoria García, Emilie Chancerel, Olivier Lepais, Myriam Heuertz

“…Size homoplasy, calculated as the proportion of mismatches between datasets relative to the number of alleles differing in length, averaged 97.85% over all SSR loci. …”
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Morphologic and hemodynamic analysis of intracranial mirror aneurysms by Spitz L., Schmidt J., Korte J., Berg P., Behme D., Neyazi B., Preim B., Saalfeld S.

“…Overall, we found possible indicators for mirror aneurysm analysis that illustrated the importance of morphological analysis, though more datasets are necessary for conclusive statements about special treatment for mirror aneurysms.…”
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Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete by K. Thirumalai Raja, N. Jayanthi, Jule Leta Tesfaye, N. Nagaprasad, R. Krishnaraj, V. S. Kaushik

“…The research results are confirmed with the forecasting results of ANN utilizing 73 trial datasets of differentiation focus proposals of cement, BA, and RHA containing parameters such as initial setting time (IST), final setting time (FST), and standard consistency. …”
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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

“…Optimization tools for machine learning are taken from the SciPy module. The datasets for analysis are taken from open sources. …”
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Which Emotions of Social Media Users Lead to Dissemination of Fake News: Sentiment Analysis Towards Covid-19 Vaccine by Maide Feyza Er, Yonca Bayrakdar Yılmaz

“…In 83% of the fake news datasets and 91% of the overall news datasets considered in the study, negative emotion was more dominant than other emotions, and it was observed that as negative comments increased, fake news spread more as well as real news. …”
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Hydrological performance of gridded meteorological products in Peruvian Altiplano basins by Efrain Lujano, Renny Daniel Diaz, Rene Lujano, Miguel Sanchez-Delgado, Apolinario Lujano

“…ABSTRACT Gridded meteorological datasets represent a valuable alternative for hydrometeorological applications, especially in areas with limited ground observations. …”
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Big Data Analytics for the ATLAS EventIndex Project with Apache Spark by Álvaro Fernández Casaní, Carlos García Montoro, Santiago González de la Hoz, José Salt, Javier Sánchez, Miguel Villaplana Pérez

“…Data analytic cases of the EventIndex project are implemented, like the search for duplicates of events from the same or different datasets. An algorithm and implementation for the calculation of overlap matrices of events across different datasets are presented. …”
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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

“…With the growing use of deep learning in emotion recognition, incorporating attention mechanisms can help uncover these shared predictive patterns.MethodsThis study explores this method by applying attention mechanism layers to identify EEG channels that are relevant for predicting emotions in three independent datasets (SEED, SEED-IV, and SEED-V). ResultsThe model achieved average accuracies of 79.3% (CI: 76.0-82.5%), 69.5% (95% CI: 64.2-74.8%) and 60.7% (95% CI: 52.3-69.2%) on these datasets, revealing that EEG channels located along the head circumference, including Fp1, Fp2, F7, F8, T7, T8, P7, P8, O1, and O2, are the most crucial for emotion prediction. …”
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Robust Clustering Using Hyperdimensional Computing by Lulu Ge, Keshab K. Parhi

“…(iii) Over eight datasets, five out of eight can achieve higher or comparable accuracy when projected onto the hyperdimensional space. …”
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On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction by Yanwen Wang, Mahdi Khodadadzadeh, Raúl Zurita-Milla

“…To study the effectiveness and generality of DAV, we tested it on a series of experiments based on both synthetic and real datasets and with gradually increasing dissimilarities. …”
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A SuperLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits. by Dennis Khodasevich, Nina Holland, Lars van der Laan, Andres Cardenas

“…We gathered publicly available DNAm datasets to generate i) a novel childhood epigenetic clock, ii) a reconstructed Hannum adult blood clock, and iii) as a proof of concept, a predictor of polybrominated biphenyl exposure using the three developmental methodologies. …”
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Evaluation of biases in mid-to-high-latitude surface snowfall and cloud phase in ERA5 and CMIP6 using satellite observations by F. Hellmuth, T. Carlsen, A. S. Daloz, R. O. David, H. Che, T. Storelvmo

“…Here, we compare these quantities as derived from satellite observations, reanalysis datasets, and Earth system models from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) and find significant discrepancies between the datasets for mid- and high latitudes in both hemispheres. …”
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Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation by Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

“…These synthesized matching-paired CXRs not only augment training datasets but also aid in identifying lesions more effectively by comparing attribute-specific differences between paired images. …”
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Multimodal Autism Spectrum Disorder Method Using GCN With Dual Transformers by Tianming Song, Zhe Ren, Jian Zhang, Yawei Qu, Yingying Cui, Zhengda Liang

“…Co-training is introduced to simultaneously harness both functional magnetic resonance imaging and structural magnetic resonance imaging data, improving the model’s capacity to generalize across different datasets. This comprehensive method was rigorously evaluated using the ABIDE-I and ABIDE-II datasets, with performance assessed through nested ten-fold cross-validation and leave-one-out cross-validation. …”
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