IQNet: Image Quality Assessment Guided Just Noticeable Difference Prefiltering for Versatile Video Coding by Yu-Han Sun, Chiang Lo-Hsuan Lee, Tian-Sheuan Chang

“…Thus, this paper proposes a fine-grained JND prefiltering dataset guided by image quality assessment for accurate block-level JND modeling. …”
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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition by Patcharin Kamsing, Peerapong Torteeka, Wuttichai Boonpook, Chunxiang Cao

“…Despite a slight difference in accuracy, the applied optimizer performs well in this dataset overall.…”
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The effects of player substitutions on match winning performance in Turkish Super League by Halit Egesoy, Hayrettin Gumusdag, Mertcan Ebubekir Cimbilaz, Yavuz Ihsan Kilic

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Refined feature enhancement network for object detection by Zonghui Li, Yongsheng Dong

“…Finally, we validate RFENet on MS-COCO2017, PASCAL VOC2012, and PASCAL VOC07+12 datasets, respectively. Compared to the baseline network, our RFENet improves by 2.4 AP on MS-COCO2017 dataset, 3.4 mAP on PASCAL VOC2012 dataset, and 2.7 mAP on PASCAL VOC07+12 dataset. …”
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Hydrologic outputs generated over the Great Lakes with a calibrated version of the GEM-Hydro model by Étienne Gaborit, Juliane Mai, Daniel Princz, Hongren Shen, Vincent Vionnet, Bryan Tolson, Vincent Fortin

“…Abstract This dataset contains outputs from a calibrated version of the GEM-Hydro model developed at Environment and Climate Change Canada (ECCC) and is available on the Federated Research Data Repository. …”
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A multi-modal neuroimaging data release for Meige Syndrome and Facial Paralysis Research by Peng Gao, Jixin Luan, Aocai Yang, Manxi Xu, Kuan Lv, Pianpian Hu, Hongwei Yu, Zeshan Yao, Guolin Ma

“…This dataset includes detailed clinical assessments of 53 individuals with facial paralysis (FP), 31 patients with Meige syndrome (MS), and 102 healthy controls (HC). …”
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Optimizing Natural Image Quality Evaluators for Quality Measurement in CT Scan Denoising by Rudy Gunawan, Yvonne Tran, Jinchuan Zheng, Hung Nguyen, Rifai Chai

“…Most are also part of the Convolutional Neural Network (CNN) training dataset against the testing dataset, and a new dataset shows an optimum patch size and contrast levels suitable for the task. …”
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Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features by Fengcai Qiao, Cheng Wang, Xin Zhang, Hui Wang

“…To verify the proposed approach, a dataset of 2 million images of 1089 different celebrities together with their accompanying texts is constructed. …”
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Stability Assessment of Concrete Gravity Dams via Multifidelity Surrogate Models by Rodrigo José de Almeida Torres Filho, Rocio L. Segura, Patrick Paultre

“…The results also show that the data generation and the selection of the best LF model depend on the size of the HF dataset.…”
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A CBA-KELM-Based Recognition Method for Fault Diagnosis of Wind Turbines with Time-Domain Analysis and Multisensor Data Fusion by Xiafei Long, Ping Yang, Hongxia Guo, Zhuoli Zhao, Xiwen Wu

“…Then, the CBA-based KELM recognition model that can identify fault patterns of a wind turbine gearbox (WTB) is automatically established with the fused dataset. The dataset includes a large number of samples involving 6 fault types under different operational conditions by 5 accelerometers. …”
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A Custom Backbone UNet Framework with DCGAN Augmentation for Efficient Segmentation of Leaf Spot Diseases in Jasmine Plant by Shwetha V., Arnav Bhagwat, Vijaya Laxmi, Sakshi Shrivastava

“…In this study, we harness the power of a deep convolutional generative adversarial network (DCGAN) to generate a dataset of jasmine plant leaf disease images. Leveraging the capabilities of DCGAN, we curate a dataset comprising 10,000 images with two distinct classes specifically designed for segmentation applications. …”
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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

“…For many sensing applications, collecting a large experimental dataset could be a time-consuming and expensive task that can also hinder the implementation of Machine Learning models for analyzing sensor data. …”
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Diagnosis of oral cancer using deep learning algorithms by Mayra Alejandra Dávila Olivos, Henry Miguel Herrera Del Águila, Félix Melchor Santos López

“…Additionally, we expanded the dataset by varying cropping, focus, rotation, brightness, and flipping. …”
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Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Selanjutnya, kinerja model dibandingkan berdasarkan ukuran dataset. Dataset terdiri dari 21165 citra, dengan pembagian 10% sebagai data uji dan 90% data dibagi menjadi data latih (80%) dan data validasi (20%). …”
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Expedited Colorectal Cancer Detection Through a Dexterous Hybrid CADx System With Enhanced Image Processing and Augmented Polyp Visualization by Akella Subrahmanya Narasimha Raju, K. Venkatesh, Ranjith Kumar Gatla, Marwa M. Eid, Aymen Flah, Zdenek Slanina, Ramy N. R. Ghaly

“…For suitable evaluation of our methodology, we adopted two benchmark datasets: CVC Clinic DB for binary classification and Kvasir dataset for multiclass classifications. …”
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Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 by David Loibl, Niklas Richter, Inge Grünberg

“…Abstract This study presents a new dataset of remote sensing-derived Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia. …”
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A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma by Zeng-Hong Wu, Yun Tang, Yue Zhou

“…In this study, we used RNA sequencing (RNA-seq) data from the cancer genome atlas (TCGA), with validation in the GEO dataset to profile the metabolic microenvironment and define potential biomarkers for metabolic therapy. …”
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Multi-environment field trials for wheat yield, stability and breeding progress in Germany by Tien-Cheng Wang, Till Rose, Holger Zetzsche, Agim Ballvora, Wolfgang Friedt, Henning Kage, Jens Léon, Carolin Lichthardt, Frank Ordon, Rod J Snowdon, Andreas Stahl, Hartmut Stützel, Benjamin Wittkop, Tsu-Wei Chen

“…We demonstrate how this dataset can address four agronomic questions related to GxExM interactions. …”
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Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

“…The results indicate that the dataset integrating wavelet features achieved higher monitoring accuracy compared to the color and texture feature dataset. …”
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Development of Lettuce Growth Monitoring Model Based on Three-Dimensional Reconstruction Technology by Jun Ju, Minggui Zhang, Yingjun Zhang, Qi Chen, Yiting Gao, Yangyue Yu, Zhiqiang Wu, Youzhi Hu, Xiaojuan Liu, Jiali Song, Houcheng Liu

“…Data from different growth stages of lettuce were collected as the training dataset, while data from different plant forms of lettuce were used as the validation dataset. …”
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