A lightweight and precision dual track 1D and 2D feature fusion convolutional network for machinery equipment fault diagnosis by Chaoquan Mo, Ke Huang, Houxin Ji

“…Experimental validation shows that this method exhibits faster convergence, higher diagnostic accuracy, and good robustness and generalization performance on two different datasets, outperforming other advanced algorithms.…”
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A Cloud API Personalized Recommendation Method Based on Multiple Attribute Features and Mashup Requirement Attention by Limin Shen, Yuying Wang, Chengyu Li, Zhen Chen

“…Extensive experiments on real-world datasets demonstrate the effectiveness of the proposed method.…”
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Forecasting Equatorial Ionospheric Convective Instability With ICON Satellite Measurements by D. L. Hysell, A. Kirchman, B. J. Harding, R. A. Heelis, S. L. England

“…Data from IVM are also used to test for irregularities (electrically polarized plasma depletions). Fourteen datasets from late March 2022, were examined. The simulations correctly predicted the occurrence or non‐occurrence of irregularities 12 times while producing one false positive and one false negative. …”
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EXPLAINING THE CORRELATES OF CHILD’S MULTIDIMENSIONAL POVERTY IN SOUTH AFRICA USING THE ALKIRE-FOSTER APPROACH by Thonaeng Charity Molelekoa, Abayomi Samuel Oyekale

“…This study analyzed the determinants of child’s multidimensional poverty in South Africa using the 2017, 2018 and 2019 General Household Survey (GHS) datasets. The Alkire-Foster’s methodology was used to compute child’s Multidimensional Poverty Index (MPI), and its correlates were analyzed using the Tobit regression. …”
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Epipolar Plane Image Rectification and Flat Surface Detection in Light Field by Lipeng Si, Hao Zhu, Qing Wang

“…Experiments on the public datasets and our collections have demonstrated the effectiveness of the proposed method.…”
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Machine learning empowered coherent Raman imaging and analysis for biomedical applications by Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee

“…In contrast to conventional multivariate methods, machine learning has recently gained considerable attention for its capability of discerning essential features from massive datasets. Here, we present a comprehensive review of the latest advancements in the application of machine learning in the molecular spectroscopic imaging fields. …”
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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…In addition, experimental results using baseline datasets and UCI databases show that the number of nodes required for oscn is reduced by approximately 50% and the computation time is reduced by approximately 40% compared to traditional algorithms.…”
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Human-induced water loss potentially threatens sustainable development of sandy regions in China by Runa A, Xinliang Pan, Liudi Zhu, Kelvin T. F. Chan, Zhangcai Qin, Enliang Guo, Yuhai Bao, Song Qing, Tingwei Cui

“…Here we found a 55.97 billion m³ net loss in total water storage from 2002 to 2023 by integrating multiple datasets. Water loss was primarily attributed to increased farmland irrigation (49.56 billion m³) and ecological restoration (37.04 billion m³). …”
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Thyroid Nodule Ultrasound Image Segmentation Based on Improved Swin Transformer by Yue Wu, Lin Huang, Tiejun Yang

“…Experimental results show that the proposed method achieves superior segmentation accuracy compared to state-of-the-art methods such as Attention U-Net, with Dice scores of 82.26% and 78.64% and IoU values of 73.00% and 67.93% on the TN3K and DDTI datasets, respectively.…”
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Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. …”
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SwinInsSeg: An Improved SOLOv2 Model Using the Swin Transformer and a Multi-Kernel Attention Module for Ship Instance Segmentation by Rabi Sharma, Muhammad Saqib, Chin-Teng Lin, Michael Blumenstein

“…Performance evaluations on the MariBoats and ShipInsSeg datasets show that SwinInsSeg outperforms YOLACT, SOLO, and SOLOv2, achieving mask average precision scores of 50.6% and 52.0%, respectively. …”
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One size fits all: Enhanced zero-shot text classification for patient listening on social media by Veton Matoshi, Maria Carmela De Vuono, Roberto Gaspari, Mark Kröll, Michael Jantscher, Sara Lucia Nicolardi, Giuseppe Mazzola, Manuela Rauch, Vedran Sabol, Eileen Salhofer, Riccardo Mariani

“…Recent advancements in Artificial Intelligence (AI), especially in Natural Language Processing (NLP), have enabled the analysis of vast social media datasets, also called Social Media Listening (SML), providing insights not only into patient perspectives but also into those of other interest groups such as caregivers. …”
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FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

“…Additionally, the model’s high accuracy in predicting genetic risk suggests that its performance could be further enhanced with larger training datasets.…”
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Stability of Watch-Based Blood Pressure Measurements Analyzed by Pre-Post Calibration Differences by Youngro Lee, Jongae Park, Sungjoon Park, Jongmo Seo, Hae-Young Lee

“…The research enhances measurement reliability through extensive datasets, shedding light on calibration stability.…”
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Deep Learning for Person Reidentification Using Support Vector Machines by Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu

“…Extensive experiments on two publically available datasets VIPeR and CUHK01 demonstrate the effectiveness of our proposed approach.…”
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CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability by Pengyi Li, Xueying Fu, Juntao Chen, Junyi Hu

“…Experiments on Ohsumed, MR, R52, and 20NG datasets confirm CoGraphNet’s effectiveness in complex classification tasks, demonstrating its superiority.…”
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Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

“…The proposed approach is evaluated on variety of real life datasets. It is also compared with existing standard ensemble techniques such as Adaboost, Bagging, and Random Subspace Methods. …”
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Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition by Bin Wang, Yu Liu, Wei Wang, Wei Xu, Maojun Zhang

“…The experimental results on KTH, Weizmann, and UCF sports datasets show that our method achieves better performance than the competing local spatiotemporal feature-based human action recognition methods.…”
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AN EFFICIENT DEPTH-FIRST SEARCH ALGORITHM FOR SOLVING THE MAXIMUM STABLE MARRIAGE PROBLEM WITH TIES AND INCOMPLETE LISTS by Le Quoc Anh, Hoang Huu Viet, Dinh Van Nam

“…Experimental results on randomly generated datasets show that our algorithm is effective in producing high- quality solutions to the problem.…”
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Protocol for predicting host-microbe interactions and their downstream effect on host cells using MicrobioLink by Lejla Gul, Anna Julia Elias, Tanvi Tambaku, Marton Olbei, Emily Watters, Balazs Bohar, Dezso Modos, Matthew Madgwick, Tamas Korcsmaros

“…The protocol outlines procedures for predicting protein-protein interactions through domain-motif interactions, integrating multi-omic datasets to map downstream effects, performing network analyses to identify key regulatory pathways, and visualizing multi-layered networks for systems-level data interpretation.For complete details on the use and execution of this protocol, please refer to Gul et al.1 and Poletti et al.2 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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