SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…We propose and evaluate the impact of different fine-tuning strategies on pose data using the MPOSE action recognition dataset as a pre-training source. Transfer performance is measured on the BoLD body emotion recognition dataset. …”
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Harnessing national data systems to understand circumstances surrounding veteran suicide: linking Department of Veterans Affairs and National Violent Death Reporting System Data by Claire A. Hoffmire, Alexandra L. Schneider, Laurel A. Gaeddert, Joseph Logan, Julie A. Kittel, Ryan Holliday, Lindsey L. Monteith

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Linking the Historical Sample of the Netherlands with the USA Censuses, 1850–1940 by Diogo Paiva, Francisco Anguita, Kees Mandemakers

“…The different nature of the two datasets (HSN and the USA Censuses) asked for some harmonization prior to the matching. …”
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Linking the Historical Sample of the Netherlands with the USA Censuses, 1850–1940 by Diogo Paiva, Francisco Anguita, Kees Mandemakers

“…The different nature of the two datasets (HSN and the USA Censuses) asked for some harmonization prior to the matching. …”
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Linking the Historical Sample of the Netherlands with the USA Censuses, 1850–1940 by Diogo Paiva, Francisco Anguita, Kees Mandemakers

“…The different nature of the two datasets (HSN and the USA Censuses) asked for some harmonization prior to the matching. …”
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Linking the Historical Sample of the Netherlands with the USA Censuses, 1850–1940 by Diogo Paiva, Francisco Anguita, Kees Mandemakers

“…The different nature of the two datasets (HSN and the USA Censuses) asked for some harmonization prior to the matching. …”
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Detecting Spatial Clusters via a Mixture of Dirichlet Processes by Meredith A. Ray, Jian Kang, Hongmei Zhang

“…We applied the method to an fMRI meta-analysis dataset to identify clusters of foci corresponding to different emotions.…”
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Squeeze-and-Excitation Vision Transformer for Lung Nodule Classification by Xiaozhong Xue, Yanhe Ma, Weiwei Du, Yahui Peng

“…In this study, the SE-ViT achieves an average accuracy of 0.863, precision of 0.872, recall of 0.876, F1-score of 0.872 and AUC of 0.862 on public dataset LUNA16. This result shows a significant improvement compared to ViT and SE-CNN.…”
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Plucking Point and Posture Determination of Tea Buds Based on Deep Learning by Chengju Dong, Weibin Wu, Chongyang Han, Zhiheng Zeng, Ting Tang, Wenwei Liu

“…The matching results on the test dataset show that the PIRM has superior performance, with a matching accuracy of 99.229% and an average matching time of 2.363 milliseconds. …”
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Linking the Historical Sample of the Netherlands with the USA Censuses, 1850–1940 by Diogo Paiva, Francisco Anguita, Kees Mandemakers

“…The different nature of the two datasets (HSN and the USA Censuses) asked for some harmonization prior to the matching. …”
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Consistent patterns of LiDAR-derived measures of savanna vegetation complexity between wet and dry seasons by Zhengyang Wang, Jenia Singh, Andrew B. Davies

“…We computed 16 commonly used metrics of vegetation complexity (derived from LiDAR canopy height models and point clouds), and found that patches of the landscape that were vegetatively complex in the wet season LiDAR data remained so in the dry season LiDAR dataset (although phenological differences were detected within individual patches). …”
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A Prediction Method for the RUL of Equipment for Missing Data by Chen Wenbai, Liu Chang, Chen Weizhao, Liu Huixiang, Chen Qili, Wu Peiliang

“…Experiments are carried out on the commercial modular aero-propulsion system simulation (C-MAPSS) dataset to validate the proposed method. The prediction results show that the proposed method outperforms other methods when packet loss occurs, showing significant improvements in the root mean square error (RMSE) and the score function value.…”
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Comment on “Examination of a Theoretical Model of Streaming Potential Coupling Coefficient” by P. W. J. Glover

“…This contribution in the form of a comment (i) indicates at least three possible errors in modelling that contribute to the mismatch between the theoretical model and the data at low salinities and (ii) carries out individual modelling on all of samples of Luong and Sprik’s 2014 dataset, showing that Glover et al.’s 2012 theoretical model matches the data well when the zeta potential is allowed to vary and good match can only be obtained with a constant zeta potential if an unrealistic value of zeta potential offset is used.…”
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Classification of tomato leaf disease using Transductive Long Short-Term Memory with an attention mechanism by Aarthi Chelladurai, D.P. Manoj Kumar, S. S. Askar, Mohamed Abouhawwash, Mohamed Abouhawwash

“…The data was gathered from the PlantVillage dataset and the pre-processing was conducted based on image resizing, color enhancement, and data augmentation. …”
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The Limited Impact of Running Performance on Football Success in the Turkish Super League by Spyridon Plakias, Sotiris Tasoulis, Angelos E. Kyranoudis, Christos Kokkotis, Serafeim Moustakidis

“…Given that performance in football depends on tactical, technical, physical, and mental skills, the purpose of this study was to investigate whether there are differences in running performance between winning and non-winning teams in the Turkish League, taking into account the influence of game location and the comparative quality of the team and its opponents. Utilizing a dataset from the 2021–2022 season provided by InStat Fitness, an optical tracking technology platform certified by FIFA, the analysis included 185 matches after adjusting for matches with red card incidents. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

“…Experimental results indicate that the Hybrid ResPOL method achieves an overall accuracy (OA) of 94.3% and a mean accuracy (mAcc) of 91.3% on the ModelNet40 dataset. Additionally, it demonstrates robust performance on the challenging ScanObjectNN dataset, with accuracies of 92% OA and 91.2% mAcc. …”
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A fair multi-resource allocation mechanism for time-varying discrete jobs with placement constraints by LI Jie, WANG Jianzhou

“…Simulation results based on the Alibaba cluster dataset show that, compared with the existing fair allocation mechanisms, the TV-TSF mechanism proposed can effectively reduce the waiting time, job queuing time, and job completion time of users.…”
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Low-Shot Wall Defect Detection for Autonomous Decoration Robots Using Deep Reinforcement Learning by Fanyu Zeng, Xi Cai, Shuzhi Sam Ge

“…Nonetheless, building large datasets manually is impractical, which is time-consuming and labor-intensive. …”
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MythicVision: a deep learning powered mobile application for understanding Indian mythological deities using weight centric decision approach by Tauseef Khan, Aditya Nitin Patil, Aviral Singh, Gitesh Prashant Bhavsar, Kanakagiri Sujay Ashrith, Sachi Nandan Mohanty

“…At first, four state-of-the-art deep models have been trained and evaluated on a custom in-house dataset consists of 10,970 images of various Indian deities sourced from both natural scene and web images. …”
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PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

“…We trained PBVit using the Figshare brain tumor dataset and observed notable performance improvements compared to traditional CNN-based models. …”
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