Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…We assess the most widely used datasets and evaluation metrics, providing a comparison of leading algorithms in terms of precision and computational efficiency in tabular form. …”
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A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Finally, we introduce benchmark datasets and evaluation metrics for ED and tracking, which allow comparative analysis on the performance of mainstream methods. …”
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MCADFusion: a novel multi-scale convolutional attention decomposition method for enhanced infrared and visible light image fusion by Wangwei Zhang, Menghao Dai, Bin Zhou, Changhai Wang

“…Experimental results demonstrate that MCADFusion surpasses existing techniques in both subjective visual evaluation and objective assessment on publicly available TNO and MSRS datasets, underscoring its superiority.…”
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Balancing between being the most valuable player (MVP) and passing the ball: a qualitative study of support when living with chronic pain in Sweden by Markus Saarijärvi, Sara Wallström, Inger Ekman, Mari Lundberg, Veronica Lilja, Vivi-Anne Segertoft

“…Objective This study aimed to elucidate the meaning of lived experiences of support from social networks and the healthcare sector in persons with chronic pain.Design A qualitative, phenomenological hermeneutic method was used to analyse interview data.Setting Participants were recruited from patient organisations in Sweden.Participants Ten (seven women, two men and one non-binary) individuals with chronic musculoskeletal pain were included.Findings The meaning of lived experiences of support in persons with chronic pain involves balancing between being the most valuable player (MVP) and passing the ball, meaning balancing between being a capable person and accepting support to be that capable person.Conclusion For participants who lived with chronic pain, support means balancing between being capable (the MVP) and willing to accept support (passing the ball), which aligns with the concept of person-centred care. …”
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Research on bearing fault diagnosis based on a multimodal method by Hao Chen, Shengjie Li, Xi Lu, Qiong Zhang, Jixining Zhu, Jiaxin Lu

“…Experimental results demonstrate that MTSF-FM achieves accuracies of 98.5% and 95.1% on two public datasets. These findings highlight the effectiveness of MTSF-FM in analyzing complex vibration data and propose a novel method for bearing fault diagnosis.…”
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Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands by Emily K. Bechtold, Jared B. Ellenbogen, Jorge A. Villa, Djennyfer K. de Melo Ferreira, Angela M. Oliverio, Joel E. Kostka, Virginia I. Rich, Ruth K. Varner, Sheel Bansal, Eric J. Ward, Gil Bohrer, Mikayla A. Borton, Kelly C. Wrighton, Michael J. Wilkins

“…To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. …”
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Deepfake detection models and methods in artificial intelligence and ‎insights from media and social culture perspective by Soheil Fakheri, Azamossadat Nourbakhsh, Mohammadreza Yamaghani

“…It also assesses the performance of these methods on different datasets.Findings: The findings indicate that deep learning-based methods are more effective in detecting deepfakes compared to other approaches. …”
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Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation by Ziqiang Hao, Zheng Jiang, Xiaoyu Xu, Zhuohao Wang, Zhicheng Sun

“…Extensive experiments on the NUDT-SIRST, SIRST, and NUST-SIRST datasets demonstrate the clear superiority of our approach over other state-of-the-art infrared small target detection methods.…”
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Correlation feature and instance weights transfer learning for cross project software defect prediction by Quanyi Zou, Lu Lu, Shaojian Qiu, Xiaowei Gu, Ziyi Cai

“…Experiments on 25 real‐world datasets indicate that the proposed approach outperforms the existing CPDP methods in most cases. …”
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Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting by Abdul Wadood, Hani Albalawi, Aadel Mohammed Alatwi, Hafeez Anwar, Tariq Ali

“…The FWOA-SVR model is comprehensively evaluated against traditional SVR, Long Short-Term Memory (LSTM), and Backpropagation Neural Network (BPNN) models using training, validation, and testing datasets. Experimental results show that FWOA-SVR achieves superior performance with the lowest MSE values (0.036311, 0.03942, and 0.03825), RMSE values (0.19213, 0.19856, and 0.19577), and the highest R² values (0.96392, 0.96104, and 0.96192) for training, validation, and testing, respectively. …”
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Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification by Prince Yaw Owusu Amoako, Guo Cao, Boshan Shi, Di Yang, Benedict Boakye Acka

“…Experimental results on four rich Chinese hyperspectral datasets demonstrate the OCN-MRL model’s competitiveness in both higher classification accuracy and less computational cost compared to existing CapsNet-based methods.…”
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Emergence of the North Pacific heat storage pattern delayed by decadal wind-driven redistribution by Jing Duan, Yuanlong Li, Yilong Lyu, Zhao Jing, Fan Wang

“…Here, based on observational datasets, ocean model experiments, and climate models, we show that the emergence of human-induced heat storage is likely postponed in the North Pacific by natural variability until the late-21st century. …”
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Spectral-Spatial Hyperspectral Image Semisupervised Classification by Fusing Maximum Noise Fraction and Adaptive Random Multigraphs by Eryang Chen, Ruichun Chang, Kaibo Shi, Ansheng Ye, Fang Miao, Jianghong Yuan, Ke Guo, Youhua Wei, Yiping Li

“…Optimal performance was obtained by fusion. For all three real datasets, our method achieved competitive results with only 10 training samples. …”
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Breaking New Ground in Monocular Depth Estimation with Dynamic Iterative Refinement and Scale Consistency by Akmalbek Abdusalomov, Sabina Umirzakova, Makhkamov Bakhtiyor Shukhratovich, Azamat Kakhorov, Young-Im Cho

“…Experimental results on standard datasets such as SUN RGB-D and KITTI demonstrate that our method achieves state-of-the-art performance, significantly improving depth prediction accuracy in dynamic scenes. …”
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Fringe Texture Driven Droplet Measurement End-to-End Network Based on Physics Aberrations Restoration of Coherence Scanning Interferometry by Zhou Zhang, Jiankui Chen, Hua Yang, Zhouping Yin

“…Finally, the performances on public datasets and the volume measurement experiments show the promising deblurring, measurement precision and efficiency.…”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…XGBoost-Sumo achieved an impressive accuracy of 99.68% on benchmark datasets using 10-fold cross-validation and 96.08% on independent samples. …”
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A Data Stream-Based, Integrative Approach to Reliable and Easily Manageable Real Time Environmental Monitoring by Meilan Jiang, Jonghyun Lee, Karpjoo Jeong, Zhenguo Cui, Bomchul Kim, Suntae Hwang, Young Jean Choi

“…In this paper, we also demonstrate and evaluate the current prototype implementation of the Galilee system with those datasets obtained from the previous sensor-based water quality monitoring project for Lake Soyang from 2011 to 2012.…”
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Multi-objective assessment of hydrological model performances using Nash–Sutcliffe and Kling–Gupta efficiencies on a worldwide large sample of watersheds by Mathevet, Thibault, Le Moine, Nicolas, Andréassian, Vazken, Gupta, Hoshin, Oudin, Ludovic

“…We propose a methodological framework that explicitly links the graphical and numerical evaluation approaches, and show how they can be usefully combined to visually interpret numerical experiments conducted on large datasets. The approach is illustrated using results obtained by testing two rainfall-runoff models on a sample of 2050 watersheds from 8 countries and calibrated with two alternative objective functions (NSE and KGE). …”
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KeyEE: Enhancing Low-Resource Generative Event Extraction with Auxiliary Keyword Sub-Prompt by Junwen Duan, Xincheng Liao, Ying An, Jianxin Wang

“…Our experiments on benchmark datasets ACE2005 and ERE show that KeyEE achieves significant improvement in low-resource settings and sets new state-of-the-art results.…”
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Wind speed prediction model based on multiscale temporal‐preserving embedding broad learning system by Jiayi Qiu, Yatao Shen, Ziwen Gu, Zijian Wang, Wenmei Li, Ziqian Tao, Ziwen Guo, Yaqun Jiang, Chun Huang

“…Experimental results on two real‐world wind speed datasets demonstrate the best performance of the proposed MTPE‐BLS model compared to that of others. …”
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