Enhancing prediction of fluid-saturated fracture characteristics using deep learning super resolution by Manju Pharkavi Murugesu, Vignesh Krishnan, Anthony R. Kovscek

“…To this end, we acquired multiscale low- and high-resolution CT rock images in unsaturated and saturated states. …”
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SOFTWARE DE PREDICCIÓN DEL NIVEL DE MONÓXIDO DE CARBONO (CO) DEL AIRE EN LA UNIVERSIDAD LIBRE SEDE BOSQUE by Jaime Alfonso Lemus Casas, Ricardo Andres Santa Quintero

“…This article presents the complete panorama of the project that allows to measure the air quality by means of measurementstations that the local government has arranged and by means of CANSAT devices that are self-constructed picosatellitethat, due to their low cost, can be placed directly in the places where you want to measure the impact of pollution. …”
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Assessing the Accuracy and Consistency of Cropland Datasets and Their Influencing Factors on the Tibetan Plateau by Fuyao Zhang, Xue Wang, Liangjie Xin, Xiubin Li

“…With advancements in cloud computing and machine learning algorithms, an increasing number of cropland datasets have been developed, including the China land-cover dataset (CLCD) and GlobeLand30 (GLC). …”
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A Lightweight Method for Detecting Bearing Surface Defects Based on Deep Learning and Ontological Reasoning by Xiaolin Shi, Haisong Xu, Han Zhang, Yi Li, Xinshuo Li, Fan Yang

“…Aiming at the different sizes and textures of the defect types on the surface of the outer ring of the bearing, and the fact that most of the target detection algorithms relying on deep learning show low speed and low precision in the detection of defects on the surface of the bearing, this paper presents a lightweight method for detecting the defects on the surface of the bearing based on deep learning and ontological reasoning. …”
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Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient‐to‐Physical Activity Ratios With Dyslipidemia by Menghan Wang, Guoqing Ma, Yunfeng Li, Junqi Li, Jiawen Xie, Juan He, Chen He, Yifei He, Kaizhen Jia, Xinran Feng, Tian Tian, Hongbao Li, Xia Liao, Xin Liu

“…Background Lifestyle factors toward diet and physical activity (PA) may directly influence the pathophysiology of dyslipidemia. …”
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The systemic oxidative stress index predicts clinical outcomes of esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy by Jifeng Feng, Jifeng Feng, Liang Wang, Xun Yang, Qixun Chen, Qixun Chen

“…In ESCC receiving nICT, low SOSI is found to be an important factor of better prognosis.…”
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A technical survey on tire-road friction estimation by Seyedmeysam Khaleghian, Anahita Emami, Saied Taheri

“…Abstract Lack of driver’s knowledge about the abrupt changes in pavement’s friction and poor performance of the vehicle’s stability, traction, and ABS controllers on the low friction surfaces are the most important factors affecting car crashes. …”
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An electronic toll collection gateway BLE RSSI dataset for localization of smartphones in vehicular scenarios by Alejandro Gil-Martínez, Alejandro Rabadán-Parra, David Cañete-Rebenaque, José Luis Gómez-Tornero

“…Abstract This paper presents a dataset based on Bluetooth Low Energy (BLE) and the use of smartphones for vehicle localization and tracking. …”
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Determining optimal strategies for primary prevention of cardiovascular disease: a synopsis of an evidence synthesis study by Olalekan A Uthman, Lena Al-Khudairy, Chidozie Nduka, Rachel Court, Jodie Enderby, Seun Anjorin, Hema Mistry, G J Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…A machine learning study developed a parallel Convolutional Neural Network algorithm with 96.4% recall and 99.1% precision for study screening. …”
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Comparative analysis of data-driven models for spatially resolved thermometry using emission spectroscopy. by Ruiyuan Kang, Dimitrios C Kyritsis, Panos Liatsis

“…Two categories of data-driven methods are analyzed: (i) Feature engineering and classical machine learning algorithms, and (ii) end-to-end convolutional neural networks (CNN). …”
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BESO Topology Optimization Driven by an ABAQUS-MATLAB Cooperative Framework with Engineering Applications by Dong Sun, Xudong Yang, Hui Liu, Hai Yang

“…The Bi-directional Evolutionary Structural Optimization (BESO) method, owing to its algorithmic simplicity and strong scalability, has emerged as one of the most prevalent topology optimization methodologies in current research and industrial applications. …”
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ATTRN: Acoustic Information Encoder and Temperature Field Reconstruction Decoder Network for Boiler Temperature Field Reconstruction by Kunyu Wu, Keqi Ni, Liwei Chen, Hengyuan Xu, Junqiao Wang, Jingyi Zhou, Xinzhi Zhou

“…Traditional temperature field reconstruction algorithms, while effective, often suffer from accumulated errors, difficulty in solving ill-posed problems, low accuracy, and poor generalization. …”
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Measuring place rather than space: integrating landscape qualities for the urban–rural gradient using people’s perceptions and machine learning by Michal Switalski, Maarten Van Strien, Adrienne Grêt-Regamey

“…Regression models, dimensionality reduction and clustering algorithms were used to uncover patterns between perception (subjective) and spatial (objective) components such as land use, accessibility to services or low level visual features. …”
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Adaptive information-constrained mapping for feature compression in edge AI and federated systems by Viacheslav Kovtun

“…Efficient projection-gradient optimisation algorithms have been developed, suitable for implementation in constrained computational environments. …”
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Prediction of formation pressure in underground gas storage based on data-driven method by SUI Gulei, FU Yujiang, ZHU Hongxiang, LI Zunzhao, WANG Xiaolin

“…The experimental results show that predictive performances of three predictive models are ranked from high to low: SVR, XGBoost, LSTM, among which the predictive performance of SVR is the most stable. …”
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Reinforcement learning on slow features of high-dimensional input streams. by Robert Legenstein, Niko Wilbert, Laurenz Wiskott

“…In this article, we propose a biologically plausible generic two-stage learning system that can directly be applied to raw high-dimensional input streams. …”
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Short-Circuit Protection Schemes for LVDC Microgrids Based on the Combination of Hybrid Circuit Breakers and Mechanical Breakers by Riccardo Lazzari, Luigi Piegari

“…In recent years, low-voltage direct current (LVDC) microgrids are becoming more attractive because they represent a solution to integrate renewable sources, storage, and electronic loads bringing some advantages in comparison with traditional AC grids. …”
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Anti-Diabetic Therapeutic Medicinal Plant Identification Using Deep Fused Discriminant Subspace Ensemble (D2SE) by N. Sasikaladevi, S. Pradeepa, A. Revathi, S. Vimal, Gaurav Dhiman

“…About 422 million people worldwide have diabetes, the majority living in low-and middle-income countries, and 1.5 million deaths are directly attributed to diabetes each year. …”
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Research Review of Agricultural Machinery Power Chassis in Hilly and Mountainous Areas by Yiyong Jiang, Ruochen Wang, Renkai Ding, Zeyu Sun, Yu Jiang, Wei Liu

“…In the future, agricultural machinery chassis will develop towards the directions of intelligence, automation, greening, being lightweight, and being multi-functionality.…”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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