Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement by Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom

“…Evaluations on standard light field datasets demonstrate that our approach reduces encoding and decoding time significantly, with a slight trade-off in Rate-Distortion (RD) performance, making it suitable for real-time applications.…”
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A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments by Lu Ma, Xuedong Yan, Wenxin Qiao

“…Before the statistical analysis, datasets from various sources are integrated under a GIS platform and the corresponding procedures are presented as an illustrated example for similar analysis. …”
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A Method for Improving the Accuracy of Link Prediction Algorithms by Jie Li, Xiyang Peng, Jian Wang, Na Zhao

“…The experiments on four real network datasets verify the effectiveness of the proposed method.…”
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Improving Electrical Fault Detection Using Multiple Classifier Systems by José Oliveira, Dioeliton Passos, Davi Carvalho, José F. V. Melo, Eraylson G. Silva, Paulo S. G. de Mattos Neto

“…However, existing approaches predominantly rely on monolithic models, which struggle with adapting to changing data, handling imbalanced datasets, and capturing patterns in noisy environments. …”
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Log Pattern Mining for Distributed System Maintenance by Jia Chen, Peng Wang, Shiqing Du, Wei Wang

“…Experiments on real log datasets prove the efficiency and effectiveness of our method.…”
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Production of Light Nuclei in Au+Au Collisions with the STAR BES-II Program by Jin Yixuan

“…The significantly larger datasets from STAR BES-II compared to BES-I, combined with enhanced detector capabilities, allow for more precise measurements. …”
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Introduction: Content, Design and Structure of Major Databases with Historical Longitudinal Population Data by George Alter, Kees Mandemakers, Hélène Vézina

“…Other databases offer detailed descriptions of sources or discuss prospects for including new datasets. …”
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Cricketing Insights Unveiled: Python-Based Information Extraction from IPL by Kubra Bashir, Afsheen Maroof, Fatima Maqbool, Kiran Bashir, Syeda Iqra Hassan

“…Data analysis aims to extract valuable insights from large datasets and facilitate informed decision-making. It plays a pivotal role across various fields, including healthcare, business, education, sports, and entertainment. …”
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Deep learning for stage prediction in neuroblastoma using gene expression data by Aron Park, Seungyoon Nam

“…Neuroblastoma is a major cause of cancer death in early childhood, and its timely and correct diagnosis is critical. Gene expression datasets have recently been considered as a powerful tool for cancer diagnosis and subtype classification. …”
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Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era by Mincheol Kim, Ki-Hyun Lee, Seok-Whan Yoon, Bong-Soo Kim, Jongsik Chun, Hana Yi

“…As the speed of data accumulation is accelerating, bioinformatic tools and associated databases for handling those datasets have become more urgent and necessary. To facilitate the bioinformatics analysis of metagenomic data, we review some recent tools and databases that are used widely in this field and give insights into the current challenges and future of metagenomics from a bioinformatics perspective.…”
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Using Large Institutional or National Databases to Evaluate Prostate Cancer Outcomes and Patterns of Care: Possibilities and Limitations by Daniel Su, Thomas L. Jang

“…Finally, information from these datasets can help to identify factors that determine why patients receive the treatments they do. …”
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Non-traditional data to inform modern climate science by Kimberley R. Miner, Ethan Wong, Bradley A. Gay, Charles E. Miller

“…We compile a list of diverse datasets collected over more than 500 years, including landscape paintings, sea lore, and animal migration data. …”
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A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique by Saeed Aghabozorgi, Teh Ying Wah, Tutut Herawan, Hamid A. Jalab, Mohammad Amin Shaygan, Alireza Jalali

“…To evaluate the accuracy of the proposed model, the model is tested extensively using syntactic and real-world time series datasets.…”
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Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning by Rachael Tulip, Sebastian Andersson, Robert Chuter, Spyros Manolopoulos

“…Using 30 female pelvis datasets to train a cycleGAN-inspired DL model, this study found mean dose differences between a deformed planning CT (dCT) and sCT were 0.2 % (D98 %). …”
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Fast Image Search with Locality-Sensitive Hashing and Homogeneous Kernels Map by Jun-yi Li, Jian-hua Li

“…We prove our method on several large datasets and illustrate that it improves the accuracy relative to commonly used methods and make the task of object classification and, content-based retrieval more fast and accurate.…”
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A Local Genetic Algorithm for the Identification of Condition-Specific MicroRNA-Gene Modules by Wenbo Mu, Damian Roqueiro, Yang Dai

“…Using two matched expression datasets, we demonstrate that our method can identify highly scored modules with statistical significance and biological relevance. …”
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Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism by Manuel Angel Fernández-Gámez, Elias Bendodo-Benasayag, José Ramón Sánchez.Serrano, Maria Helena Pestana

“…Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. …”
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New records of genera and species of moth flies (Diptera, Psychodidae: Psychodinae) from Morocco by Imane Saidoun, Mohamed Amin El Mouden, Samia Boussaa, Boutaïna Belqat

“…A survey of moth flies in mountainous and desert areas of Morocco revealed 20 species, five genera with 10 species which are recorded from the country for the first time, six of which (Atrichobrunettia (Mirousiella) graeca Ježek & Goutner, 1993, Lepiseodina rothschildi (Eaton, 1912), Mormia revisenda (Eaton, 1893), Pericoma (Pachypericoma) fallax Eaton, 1893, Pericoma (Pericoma) trifasciata (Meigen, 1804), and Psychoda (Chodopsycha) divaricata Duckhouse, 1968), alongside two genera, Atrichobrunettia Satchell, 1953 and Lepiseodina Enderlein, 1937), are new to North Africa. …”
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Multidimensional Scaling-Based Data Dimension Reduction Method for Application in Short-Term Traffic Flow Prediction for Urban Road Network by Yi Zhao, Satish V. Ukkusuri, Jian Lu

“…The results show that prediction models using traffic data after dimension reduction outperform the same prediction models using other datasets. The proposed method provides an alternative to existing models for urban traffic prediction.…”
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Hybrid Deep Learning for Gas Price Prediction Using Multi-Factor and Temporal Features by Shuliang Zhang, Hao Wu, Jin Wang, Longsheng Du

“…Through experimental validation on three public datasets, our proposed model achieves industry-leading predictive performance with a mean squared absolute error of 2.27, which is approximately a 1/3 improvement over the current state-of-the-art methods.…”
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