Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition by Wenjia Liu, Bo Chen, R. Andrew Swartz

“…A number of progressive damage test case datasets and damage test data with different damage modalities are used. …”
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A Review on Optimizing Water Management in Agriculture through Smart Irrigation Systems and Machine Learning by Belarbi Zaid, El Younoussi Yacine

“…We examine various ML models, that have been employed to predict ET using diverse datasets comprising meteorological, soil, and remote sensing data. …”
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Multisensory integration operates on correlated input from unimodal transient channels by Cesare V Parise, Marc O Ernst

“…Besides accounting for the results of our psychophysical experiments, this model could quantitatively replicate several recent findings in multisensory research, as tested against a large collection of published datasets. In particular, the model could simultaneously account for the perceived timing of audiovisual events, multisensory facilitation in detection tasks, causality judgments, and optimal integration. …”
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A Bounded Lifetime Distribution Specified by a Trigonometric Function: Properties, Regression Model, and Applications by Simon A. Ogumeyo, Festus C. Opone, Abdul Ghaniyyu Abubakari, Jacob C. Ehiwario

“…The flexibility of the new bounded distribution is examined via data fitting using two proportional datasets. The results of the fittings show that the new bounded distribution performs significantly better than the competing bounded lifetime distributions. …”
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An Improved CEEMDAN Time-Domain Energy Entropy Method for the Failure Mode Identification of the Rolling Bearing by Fengfeng Bie, Yi Miao, Fengxia Lyu, Jian Peng, Yue Guo

“…The effectiveness of the proposed method of the improved CEEMDAN time-domain energy entropy and PSO-SVM model is testified through numerical simulation and experiments on rolling bearing datasets. The comparison proceeded with the other mainstream intelligent recognition techniques indicates the superiority of the method with the diagnostic accuracy of 100% as for the final validation.…”
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A Teacher-Learning-Based Optimization Approach for Blur Detection in Defocused Images by Sana Munir Khan, Muhammad Tariq Mahmood

“…The proposed model is validated through extensive experiments on two benchmark datasets, and its performance is comparable against five state-of-the-art methods.…”
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SPATIAL ANALYSIS OF ENVIRONMENTAL AND ANTHROPOGENIC INFLUENCES ON NITRATE CONCENTRATION IN SHALLOW GROUNDWATERS. CASE STUDY: RUSCOVA VALLEY, MARAMUREŞ MOUNTAINS (ROMANIA) by GHEORGHE KUCSICSA, VASILE POPOVICI

“…Finally, through regression analysis it was possible to determine which datasets explain better the nitrate concentration in the shallow groundwater.…”
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Fuzzy Aspect Based Opinion Classification System for Mining Tourist Reviews by Muhammad Afzaal, Muhammad Usman, A. C. M. Fong, Simon Fong, Yan Zhuang

“…We conducted experiments on real world datasets to evaluate the effectiveness of our proposed system. …”
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A Novel Differentially Private Online Learning Algorithm for Group Lasso in Big Data by Jinxia Li, Liwei Lu

“…This study addresses the challenge of extracting valuable information and selecting key variables from large datasets, essential across statistics, computational science, and data science. …”
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Optimal Management of Computer Network Security in the Era of Big Data by Minfeng Chen

“…The model uses data features to dynamically generate a library of situational anomalies, effectively solving the problem of analyzing and processing rapidly and dynamically generated data streams, increasing the detection rate to more than 98%, effectively reducing the possibility of false detection, and having good results on large-scale datasets.…”
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Statistical flaws of the fitness-fatigue sports performance prediction model by Alexandre Marchal, Othmène Benazieb, Yisakor Weldegebriel, Thibaut Méline, Frank Imbach

“…We confirmed these results with 2 independent datasets. Both results question the relevance of the fatigue part of the model formulation, hence the biological relevance of the fatigue component of the FFM. …”
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Accelerated Permafrost Thaw Linked to Rising River Temperature and Widening Channels by Yi Zhao, Dongfeng Li

“…Leveraging remotely sensed datasets, in‐situ hydrological observations, and physics‐based models, we reveal overall warming and widening rivers across the Tibetan Plateau in recent decades, driving accelerated sub‐river permafrost thaw. …”
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Identifying unregulated fisheries seasonality through commercial landings and local fishers’ knowledge by Abdulrahman Ben-Hasan, Mohammad E. Al Mukaimi

“…Here, we examine fisheries seasonality by analyzing extensive datasets of monthly commercial landings and prices spanning over twenty years for 22 major finfish stocks in Kuwait, where seasonal closures are uncommon. …”
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Rapid Mapping and Deformation Analysis over Cultural Heritage and Rural Sites Based on Persistent Scatterer Interferometry by D. Tapete, F. Cigna

“…We radar-interpreted ERS-1/2 (1992–2000) and ENVISAT (2003–2010) datasets, already processed, respectively with the Permanent Scatterers (PSs) and Persistent Scatterers Pairs (PSPs) techniques, and assigned the levels of conservation criticality for both the sites. …”
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Toward accurate hand mesh estimation via masked image modeling by Yanli Li, Congyi Wang, Huan Wang

“…We pair this with a robust pose estimation baseline, combining a standard vision transformer backbone with a pyramidal mesh alignment feedback head.ResultsExtensive experiments demonstrate HandMIM’s competitive performance across diverse datasets, notably achieving an 8.00 mm Procrustes alignment vertex-point-error on the challenging HO3Dv2 test set, which features severe hand occlusions, surpassing many specially optimized architectures.…”
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Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

“…For evaluation, experiments are conducted on two recent large-scale RGB-D datasets and results demonstrate that our proposed RGB-D tracking method achieves better performance than other state-of-art RGB-D trackers.…”
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Deep Transfer Learning for Biology Cross-Domain Image Classification by Chunfeng Guo, Bin Wei, Kun Yu

“…In this work, the multiple transfer learning scheme is designed to exploit deep transfer learning on several biology image datasets from different domains. There may be a huge difference between the source domain and the target domain, causing poor performance on transfer learning. …”
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Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles by Evans Teiko Tetteh, Beata Zielosko

“…Traditional decision tree algorithms, such as CART and ID3, are employed to induce decision trees from bootstrapped datasets, which represent distributed data sources. …”
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Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities by Abdullah Hosseini, Ahmed Serag

“…Emerging techniques in artificial intelligence offer innovative solutions to overcome these constraints, with synthetic data generation enabling the creation of realistic medical imaging datasets, but the preservation of critical hidden medical biomarkers is an open question.MethodsThis study employs state-of-the-art Denoising Diffusion Probabilistic Models integrated with a Swin-transformer-based network to generate synthetic medical data. …”
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A Specific Algorithm Based on Motion Direction Prediction by Zhesen Chu, Min Li

“…To address the problem of sample diversity and lack of quantity in a multitarget tracking environment, a generative model based on the conditional variational self-encoder conditional generation of adversarial networks is proposed, and the performance of the generative model is verified using pedestrian reidentification and other datasets, and the experimental results show that the method can take advantage of the advantages of both models to improve the quality of the generated results.…”
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