ESFormer: A Pillar-Based Object Detection Method Based on Point Cloud Expansion Sampling and Optimised Swin Transformer by Zhuoxuan Zhao, Qianchun Li, Shengyu Hao, Xinyan Huang, Fan Zhang

“…And Swin Transformer further enhances the model’s ability to capture multi-scale features through its hierarchical design, enabling it to recognize objects at different scales and distances. …”
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Determination of lithium concentration in black mass using laser-induced breakdown spectroscopy hand-held instrumentation by Elisa Galli, Mattia Massa, Alessandra Zanoletti, Silvana De Iuliis, Elza Bontempi, Laura Eleonora Depero, Vincenzo Palleschi, Laura Borgese

“…Its widespread use in the last decades has also posed problems for its recovery and recycling, mostly from exhaust Li-ion batteries, which are mechanically treated to obtain the black mass. …”
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A Synthesis on Agent-Based Impact Assessment Models from the Perspective of the EU Rural Development Policy Measures by Rosalia Filippini, Carlos Leyva Guerrero, Pablo Baez Gonzales, Mario Veneziani, Selim Çağatay, Ali Koç, Peyman Uysal

“…However, these modelling platforms still embody various problems, especially in terms of database adjustments and parameterization and calibration of the model.…”
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IUR-Net: A Multi-Stage Framework for Label Refinement Tasks in Noisy Remote Sensing Samples by Yibing Xiong, Xiangyun Hu, Xin Geng, Lizhen Lei, Aokun Liang

“…However, the use of samples encounters problems, such as an inconsistent annotation quality, mismatches between images and labels, and a lack of fine-grained labels. …”
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CHARACTERISTICS OF DISTURBANCES IN NEUROPHYSIOLOGICAL AND PSYCHO-EMOTIONAL STATUS OF PATIENTS WITH VIBRATION DISEASE IN THE POSTEXPOSURE PERIOD by D. V. Rusanova, M. V. Kuleshova, E. V. Katamanova, O. L. Lakhman, V. A. Pankov

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WPD-ResNeSt: Substation Station Level Network Anomaly Traffic Detection Based on Deep Transfer Learning by Ting Yang, Yucheng Hou, Yachuang Liu, Feng Zhai, Rongze Niu

“…Transfer learning is used to solve the problem of insufficient abnormal traffic labeled samples in the substation. …”
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Classification of diabetes mellitus disease at Rato Ebuh Hospital-Indonesia using the K-Nearest neighbors method based on missing value by Putro Sigit Susanto, Putra Moh Abdan Syakura, Fatah Doni Abdul, Asmara Yuli Panca, Fauzan Hermawan Bin, Rochman Eka Mala Sari, Rachmad Aeri

“…This research aims to address the classification problem of diabetes mellitus using the K-Nearest Neighbor (K-NN) method. …”
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Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training by Shengjie Tang, Cheng Chen, Qi Qin, Xiaoping Liu

“…Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of mitigating gradient vanishing/explosion problems when deeper neural networks are constructed. …”
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Calculation of the mode of higher harmonics in electrical networks of plywood production by A. K. Toropova, V. V. Cherepanov

“…According to the proposed methodology, the results of calculations are recommended for solving series of practical problems.…”
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Multifunctional Superhydrophobic Coatings for Aluminum and Magnesium Alloys: Applications and Performance - Review by Hanaa Soliman, Rongling Zhang, Xialong Cai, Wei Feng, Alanood A. Alsarayreh, Awesar A. Hussain, Salih Alsadaie

“…Surface modification technologies provide immediate solutions to these problems through superhydrophobic coatings emerging as a promising approach. …”
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Research on guest comfort and satisfaction with indoor environmental quality in former GBI-certified green hotels: a study case from Malaysia by Hayder Saadoon Abdulaali, Hayder Saadoon Abdulaali, Ismar M. S. Usman, Mohsen Alawi, Shagea Alqawzai

“…Challenges included noise, thermal discomfort, and lighting problems. The study emphasizes the importance of air quality, thermal comfort, and noise management while balancing aesthetic elements like greenery and decoration to improve guest experiences. …”
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GES: A New Building Damage Data Augmentation and Detection Method Based on Extremely Imbalanced Data and Unique Spatial Distribution of Satellite Images by Xiaopeng Sha, Zhoupeng Guo, Xinqi Sang, Shuyu Wang, Yuliang Zhao

“…The xFBD_TWC dataset, featuring balanced samples and cloud occlusion, has demonstrated its excellence through experimental results. …”
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Instrumental or Physical-Exercise Rehabilitation of Balance Improves Both Balance and Gait in Parkinson’s Disease by Marica Giardini, Antonio Nardone, Marco Godi, Simone Guglielmetti, Ilaria Arcolin, Fabrizio Pisano, Marco Schieppati

“…Walking problems in PD depend on postural instability and are successfully relieved by appropriate balance rehabilitation. …”
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Human-machine interaction in mechanical systems through sensor enabled wearable augmented reality interfaces by K. Balamurugan, G. Sudhakar, Kavin Francis Xavier, N. Bharathiraja, Gaganpreet Kaur

“…Industrial AR systems currently face problems created by their static programming methods along with delayed responsiveness and restricted sensor collectability and insufficient wireless throughput that results in system inefficiency and elevated stress on users. …”
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Intelligent Teaching Recommendation Model for Practical Discussion Course of Higher Education Based on Naive Bayes Machine Learning and Improved <i>k</i>-NN Data Mining Algorithm by Xiao Zhou, Ling Guo, Rui Li, Ling Liu, Juan Pan

“…Aiming at the existing problems in practical teaching in higher education, we construct an intelligent teaching recommendation model for a higher education practical discussion course based on naive Bayes machine learning and an improved <i>k</i>-NN data mining algorithm. …”
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Research on Optimization of Large-Scale Heterogeneous Combat Network Based on Graph Embedding by Xianzheng Meng, Changrong Xie, Hui Li, Guangjun Zeng, Kebin Chen

“…Currently, large-scale research on HCN suffers from significant time costs and poor convergence results. To address these problems, a graph embedding-based Heterogeneous Combat Network Optimization Framework (HCNOF) is proposed, which optimizes HCN features and reduces time overhead. …”
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Anomaly Detection in Health Insurance Claims Using Bayesian Quantile Regression by Ezekiel N. N. Nortey, Reuben Pometsey, Louis Asiedu, Samuel Iddi, Felix O. Mettle

“…Additionally, health insurance claim data are mostly associated with problems of sparsity, heteroscedasticity, multicollinearity, and the presence of missing values. …”
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Sexual function and pelvic floor function in men with systemic sclerosis compared to healthy controls: a cross-sectional study by Barbora Heřmánková, Sabína Oreská, Maja Špiritović, Hana Štorkánová, Martin Komarc, Karel Pavelka, Ladislav Šenolt, Jiří Vencovský, Radim Bečvář, Michal Tomčík

“…Impaired SF was associated with higher disease activity, increased systemic inflammation, more pronounced fatigue, reduced physical fitness, severe depression, impaired overall quality of life, dyspepsia, and arthralgias (p < 0.05 for all).Conclusions Sexual dysfunction is highly prevalent in our SSc patients, whereas pelvic floor dysfunction is unlikely to be associated with these problems.…”
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A Benchmark Dataset for Aircraft Detection in Optical Remote Sensing Imagery by Jianming Hu, Xiyang Zhi, Bingxian Zhang, Tianjun Shi, Qi Cui, Xiaogang Sun

“…The problem is that existing aircraft detection datasets rarely simultaneously consider the diversity of target features and the complexity of environmental factors, which has become an important factor restricting the effectiveness and reliability of aircraft detection algorithms. …”
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Toward a Self-consistent Hydrodynamical Model of the Solar Tachocline by P. Garaud, D. O. Gough, L. I. Matilsky

“…We discuss other properties of the model and show that it has several desirable features but does not resolve some of the other well-known problems of the SZ92 model.…”
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