A fine-grained human facial key feature extraction and fusion method for emotion recognition by Shiwei Li, Jisen Wang, Linbo Tian, Jianqiang Wang, Yan Huang

“…This paper proposes a method for modeling and extracting key facial features by integrating global and local facial data. …”
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MSTD: A Multi-Scale Transformer-Based Method to Diagnose Benign and Malignant Lung Nodules by Xiaoyu Zhao, Jiao Li, Man Qi, Xuxin Chen, Wei Chen, Yongqun Li, Qi Liu, Jiajia Tang, Zhihai Han, Chunyang Zhang

“…To address these issues, we propose a multi-scale transformer-based diagnosis (MSTD) method for benign and malignant lung nodules. To handle significant variations in the shapes and sizes of the lung nodules, we first design a multi-scale module based on parallel branches to extract multi-scale features. …”
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A Method for Temporally Resolved Continuous Inline Measurement of Multiple Solute Concentrations With Microfluidic Spectroscopy by Andrea Lorenzo Henri Sergio Detry, Vinny Chandran Suja, Nathaniel Merriman Sims, Robert A. Peterfreund, David E. Arney

“…<italic>Goal:</italic> To develop a compact, real-time microfluidic spectroscopy system capable of simultaneously measuring the concentrations of multiple solutes flowing together through a single fluid pathway with high temporal resolution. <italic>Methods:</italic> The measurement system integrates a Z-flow cell and dual-wavelength LED light sources with a compact spectrophotometer. …”
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Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…By analyzing the distance variations between the tunnel's point cloud pending optimization and the noise point cloud, points in close proximity are integrated back into the denoised point cloud from the first stage. …”
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Gender disparities in literacy: an analysis of regional and age-group variations in Somalia by Mukhtaar Axmed Cumar, Abdisalan Hassan Muse, Befekadu Zeleke Kidane, Jibril Abdikadir Ali

“…Further studies employing qualitative methods and longitudinal designs are recommended to deepen understanding of the dynamics underlying these disparities.…”
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Numerical experiments in 2D variational fracture by M. Angelillo, A. Fortunato, E. Babilio, M. Lippiello, L. Cardamone

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A Model Based on Neural Network to Predict Surface Settlement During Subway Station Construction: A Case Study of the Dongba-Zhongjie Station in Beijing, China by Jiaqi Zhang, Hua Jiang, Jinsen Wang, Jili Feng

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Research on the Method of Optimizing the Stress and Improving the Performance for MEMS Gyroscope Based on the Cantilever-Plate Structure by Yunbin Kuang, Xiaoyan Huo, Weitao Guo, Xiaoxing Li, Jiangyan He, Qiong Mao, Xiaolin Ma, Jie Liu

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Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model by Na Fang, Zhengguang Liu, Shilei Fan

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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

“…To diminish dataset shift in real-world settings, this paper proposes the out-of-distribution reject option for prediction (ODROP). This method integrates an OOD detection model to preclude OOD data from the prediction phase. …”
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A Method for Estimating the SOH of Lithium-Ion Batteries Based on Graph Perceptual Neural Network by Kang Chen, Dandan Wang, Wenwen Guo

“…The accurate estimation of battery state of health (SOH) is critical for ensuring the safety and reliability of devices. Considering the variation in health degradation across different types of lithium-ion battery materials, this paper proposes an SOH estimation method based on a graph perceptual neural network, designed to adapt to multiple battery materials. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…In the field of short-term power load prediction, the current prediction methods have low prediction accuracy. To address this issue, this study introduces level processing method and improved grey wolf genetic algorithm to predict short-term power load and optimize the power load prediction accuracy. …”
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Fault diagnosis method of mine hoist main bearing with small sample based on VAE-WGAN by Fan JIANG, Hongyan SONG, Xi SHEN, Zhencai ZHU, Shuman CHENG

“…Furthermore, a fault diagnosis method based on CBAM-MobileNetV2 is proposed to achieve fault diagnosis of mine hoist main bearings under small sample data. …”
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Statistical analysis of an in-vehicle image-based data collection method for assessing airport pavement condition by Ianca Feitosa, Bertha Santos, Jorge Gama, Pedro G. Almeida

“…Kruskal-Wallis tests were applied to each method separately. Significant section-based differences were found in 11 of 12 cases for the traditional method and in 2 of 12 cases for the in-vehicle image-based method, indicating greater sensitivity of the on-foot inspection to spatial variation in distress distribution. …”
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Adaptive Voxel-Division Method of GNSS Water Vapor Tomography and Its Application in Data Assimilation by Yongjie Ma, Qingzhi Zhao, Duoduo Jiang, Wanqiang Yao, Yibin Yao, Jinfang Yin, Hongwu Guo, Yuan Zhai, Ying Xu, Ruikun Wang, Qingfang Chen, Jingyu Zhang

“…In addition, a two-step variational assimilation method has been developed to address the limitation of existing NWP models without a direct interface for assimilating GNSS water vapor tomographic results. …”
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Lattice protein folding with variational annealing by Shoummo A Khandoker, Estelle M Inack, Mohamed Hibat-Allah

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Overview of object detection methods based on LiDAR point cloud under adverse weather conditions by Yutian WU, Qing LI, Wenwei SUN, Heng WANG, Weiran WANG

“…Following this, we systematically categorize the existing object detection methods into four main approaches: (1) data enhancement-based ones, which enhance network robustness via augmentation of training datasets to account for weather variations; (2) point cloud denoising-based ones, which mitigate the effect of weather-induced noise via cleaning of raw point cloud data, thereby increasing detection accuracy; (3) domain adaptation-based ones, which use models trained under favorable weather conditions to guide the training of networks designed for adverse weather so as to enhance the model’s generalization ability; and (4) multisensor fusion-based ones, which enhance detection performance via integration of multimodal data from various sources, such as combining LiDAR with camera or radar. …”
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Methods of Laser Spectroscopy in Devices for Continuous Monitoring of O2 and CO Content in Boiler Smoke Gases by V. A. Firago, V. Wujcik, I. S. Manak, P. Komada, V. V. Krot

“…The paper shows that the least errors of continuous CO and O2 concentration monitoring at the presence of variations in dissipative losses have been ensured by the modified correlation method though its threshold sensitivity is less than integral and correlation ones.…”
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Telehomecare Monitoring for Patients Receiving Anticancer Oral Therapy: Protocol for a Mixed Methods Evaluability Study by Dominique Tremblay, Thomas Joly-Mischlich, Annick Dufour, Marie-Claude Battista, Djamal Berbiche, José Côté, Marco Décelles, Catherine Forget, Brigitte Guérin, Manon Larivière, Frédéric Lemay, Manon Lemonde, Éric Maillet, Nathalie Moreau, Michel Pavic, Sara Soldera, Catherine Wilhelmy

“…Further investigation into these variations factors will improve implementation processes and produce effective outcomes. …”
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Logging evaluation methods of low-organic matter fault-block shale oil in the Subei Basin and their application by QIAN Shiyou, YANG Zhiqiang, XU Chen

“…By integrating conventional and specialized logging methods, a logging interpretation model was developed to evaluate the lithology, reservoir properties, oil content, mobility, and fracability of the shale oil reservoir. …”
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