Domestic, Not Private: Feminine Proposals for Carabanchel PAU Expansion, Madrid, Spain by Ángel Cordero Ampuero, Paula Ruiz Usero, Marta Muñoz Martín

“…The results provide optimistic data for the discipline and its capacity, through this type of sensitivity, to correct some of the errors in the system of production of public space.…”
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Short-Term Electric Load Forecasting for an Industrial Plant Using Machine Learning-Based Algorithms by Oğuzhan Timur, Halil Yaşar Üstünel

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Multifractal Carbon Market Price Forecasting with Memory-Guided Adversarial Network by Na Li, Mingzhu Tang, Jingwen Deng, Liran Wei, Xinpeng Zhou

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Enhanced Signal-to-Noise Ratio Estimation in Optical Fiber Communications: A Pilot-Based Approach by Mohamed Al-Nahhal, Ibrahim Al-Nahhal, Sunish Kumar Orappanpara Soman, Octavia A. Dobre

“…The estimation accuracy of the SNR components achieved by the proposed estimators is evaluated using the normalized root mean square error and the standard deviation of the estimation errors. …”
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Development and implementation of an etiology-based diagnostic framework for acute abdominal pain in emergency settings by Hui Guo, Xu-Rui Li, Yun-Lei Du, Yang-Juan Jia, Hong-Ling Li, Qian Zhao, Yan-Peng Li, Jian-Guo Li

“…The experts described their diagnostic reasoning processes and queried relevant clinical data to extract foundational diagnostic principles. …”
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An Efficient PSInSAR Method for High-Density Urban Areas Based on Regular Grid Partitioning and Connected Component Constraints by Chunshuai Si, Jun Hu, Danni Zhou, Ruilin Chen, Xing Zhang, Hongli Huang, Jiabao Pan

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Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors by Zhangli Lu, Huiying Zhou, Honghao Lyu, Haiteng Wu, Shaohua Tian, Geng Yang

“…Validated with 20 healthy subjects (young and elderly) and 20 patients (PD and stroke), the system achieved a mean absolute error (MAE) of 1.1627 and root mean squared error (RMSE) of 1.5333. …”
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Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation by G. V. S. Sudhamsh, S. Girisha, R. Rashmi

“…However, training these models necessitates huge amounts of labeled data, which can be difficult to come by due to the skill required for annotation and the unavailability of data, particularly for rare diseases. …”
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Machine learning to identify suitable boundaries for band-pass spectral analysis of dynamic [ $$^{11}$$ 11 C]Ro15-4513 PET scan and voxel-wise parametric map generation by Zeyu Chang, Colm J. McGinnity, Rainer Hinz, Manlin Wang, Joel Dunn, Ruoyang Liu, Mubaraq Yakubu, Paul Marsden, Alexander Hammers

“…The process currently requires the manual selection of frequency ranges based on the data. To enhance the efficiency of band-pass spectral analysis and extend its application to a broader range of tracers, we propose employing machine learning to automate the selection of spectral boundaries. …”
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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic... by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…ML-based cephalometric imaging reduces errors, improves accuracy, and saves time. Method: In this study, we conducted a meta-analysis and systematic review to evaluate the accuracy of ML software for detecting and predicting anatomical landmarks on two-dimensional (2D) lateral cephalometric images. …”
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Predictive modeling of the development height of water-conducting fracture zones in mines in Shandong mining area by XU Dongjing, DOU Xuan, LI Ye, XIA Zhicun

“…Results show that compared with the measured value of hydraulic fracture zones, only 6 % and 17 % of the "triple down" specification data exhibit less than 5m of absolute value of the prediction error, while those in the 2 prediction models via regression analysis and deep learning are 83 % and 89 % respectively. …”
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Rapid screening and optimization of CO2 enhanced oil recovery operations in unconventional reservoirs: A case study by Shuqin Wen, Bing Wei, Junyu You, Yujiao He, Qihang Ye, Jun Lu

“…The proposed framework was validated by comparing the GA-RF predictions with simulation results under different reservoir conditions, which yielded a minimum relative error of 0.34% and an average relative error of 5.3%. …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

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ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization by Xiaoxuan Luo, Hong Shen, Wei Ke

“…To fill this gap, as an illustration of bridging theory and real-work solutions by integrating machine learning with data analysis, we propose a novel framework of Temporality-Dependence Dual-Regularized Matrix Factorization (TDDRMF) by combining matrix factorization with regularization on both workload temporality and microservice dependencies. …”
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Effect of onboard superconducting magnet length on the levitation characteristics of electrodynamic levitation train by WU Dingding, HUANG Huan, YUAN Yuhang, ZHENG Jun, CAI Chengbiao, DENG Zigang

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TLS in Sustainable Mining Engineering: 3D Convergence and Surface Changes in Chamber Excavation in CH Salt Mine “Wieliczka” by Pelagia Gawronek, Andrzej Kwinta, Kamil Sajdak, Piotr Koczwara

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IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T by Lastoni Wibowo, Retno Wahyusari, Teguh Yuwono, Aina Shofia

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Investigation and Optimization of Discharging Performance Enhancement of Phase Change Cold Storage Panel using Embedded Heat Pipes by Tian Shen, Ma Cuiling, Chen Yuhong, Guo Liyuan, Shao Shuangquan, Zhu Tingting, Sun Zhili

“…The temperature difference and heat transfer rate at the airside calculated by the model are consistent with the measured data. The calculation error of the overall cooling capacity is -3.21%–6.16%. …”
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Exploring the Assimilation of All-Sky FY-4A GIIRS Radiances and Its Forecasts for Binary Typhoons by Qian Xie, Deqin Li, Yi Yang, Yonghong Zhao, Hong Li, Shengjie Zhu, Xiao Pan

“…Quality control procedures, observation error settings, and variational bias corrections are incorporated into the three-dimensional variational data assimilation system for both clear-sky and all-sky scenarios. …”
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Dynamic simulation of breast behaviour during different activities based on finite element modelling of multiple components of breast by Jiazhen Chen, Zejun Zhong, Yue Sun, Joanne Yip, Kit-lun Yick

“…Using 4D scanning and motion capture technologies, dynamic data are collected during different activities. The accuracy of the FE model is verified based on relative mean absolute error (RMAE), and optimal material parameters are identified by using a validated stepwise grid search method. …”
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