TFF-Net: A Feature Fusion Graph Neural Network-Based Vehicle Type Recognition Approach for Low-Light Conditions by Huizhi Xu, Wenting Tan, Yamei Li, Yue Tian

“…Hybrid graph neural networks (GNNs) process the graph structures and model spatial dependencies and semantic associations. …”
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Machine learning for the rElapse risk eValuation in acute biliary pancreatitis: The deep learning MINERVA study protocol by Mauro Podda, Adolfo Pisanu, Gianluca Pellino, Adriano De Simone, Lucio Selvaggi, Valentina Murzi, Eleonora Locci, Matteo Rottoli, Giacomo Calini, Stefano Cardelli, Fausto Catena, Carlo Vallicelli, Raffaele Bova, Gabriele Vigutto, Fabrizio D’Acapito, Giorgio Ercolani, Leonardo Solaini, Alan Biloslavo, Paola Germani, Camilla Colutta, Savino Occhionorelli, Domenico Lacavalla, Maria Grazia Sibilla, Stefano Olmi, Matteo Uccelli, Alberto Oldani, Alessio Giordano, Tommaso Guagni, Davina Perini, Francesco Pata, Bruno Nardo, Daniele Paglione, Giusi Franco, Matteo Donadon, Marcello Di Martino, Dario Bruzzese, Daniela Pacella

“…The MINERVA study aims to develop and validate a machine learning (ML) model to predict the risk of RAP (at 30, 60, 90 days, and at 1-year) in MABP patients, enhancing decision-making processes. …”
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Preparation of Magnetic Photocatalyst Fe₃O₄@SiO₂@Fe-TiO₂ and Photocatalytic Degradation Performance of Methyl Orange in Na₂SO... by Li Sun, Zilong Li, Zhigang Yuan, Ying Liu, Shunqi Mei, Fanhe Meng, Xingyu Ouyang, Yi Xiong, Ke Zhang, Zhen Chen

“…The results show that TiO₂ on the outer layer of FS-FT (0 g) and FS-FT (x g) has an anatase structure, and that Fe is doped into FS-FT (x g). …”
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Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

“…This study aims to develop a machine learning model to estimate steel phosphorus content at the end of the process based on input parameters. …”
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Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging by Paul J. Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi

“…Here, we present a robust and efficient Deep Learning reconstruction embedded in a physical model within an end-to-end automated processing pipeline to obtain high-quality metabolic maps. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…With the mechanical model of the vessel heave compensation system firmly established, the study applies the Markov decision process to determine the agent’s strategy and reward mechanism. …”
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State-of-Health Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Features and Fusion Interpretable Deep Learning Framework by Bohan Shao, Jun Zhong, Jie Tian, Yan Li, Xiyu Chen, Weilin Dou, Qiangqiang Liao, Chunyan Lai, Taolin Lu, Jingying Xie

“…This enables the model to provide a more transparent decision-making process, assisting in the discovery and interpretation of key features within battery SOH estimation. …”
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Schizo-Net: A <italic>novel</italic> Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices by Nitin Grover, Aviral Chharia, Rahul Upadhyay, Luca Longo

“…First, the raw EEG activity is pre-processed exhaustively to remove unwanted artifacts. …”
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La función característica de punto de Hamilton y la función de tiempos de difracción de la sísmica geométrica en la migración con amplitudes verdaderas by Montes Vides Luis Alfredo

“…The restitution of the wave amplitude is made using an operator which depends of the parameters of the traveltime function A differentiation filter is applied to the migrated sections in order to obtain the original wave phase. Layered models with smooth interfaces are used.&lt;/span&gt;&lt;/p&gt;<br>&lt;p class="MsoNormal" style="margin-bottom: 0.0001pt;"&gt;&lt;span style="font-size: 12.0pt; font-family: " lang="EN-US"&gt;Usando la teoría del rayo paraxial en la aproximación de segundo de los tiempos de tránsito, podemos estimar la función de tiempos de tránsito asociada a un frente de onda proveniente de un reflector, y en consecuencia calcular la función de tiempos de difracción de un frente de onda generado por un punto difractor situado en el reflector. …”
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Dual Improvements DCNv4 and AsDDet Mechanisms for Small Object Detection in Aerial Imagery by Fan Jiang, Hua-Ching Chen, Song-Lin Wei, Hsuan-Ming Feng

“…This allows the application of distinct convolutional layers tailored to process the positional and complex shape data characteristics of small objects. …”
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Simulation study of cutting fluid flow field in kerf of fine diameter diamond wire saw by Jiahu CHEN, Peiqi GE

“…Firstly, according to the actual situation of the diamond wire saw cutting process, a 3D simulation geometric model is established based on the liquid supply mode, where cutting fluid flows along the sawing wire and is brought into the sawing area by the motion of the sawing wire. …”
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Low-Cost Optical Filters Based on SiO_xC_y:H and Ag Thin Films Fabricated by Plasma Enhanced Chemical Vapor Deposition and Sputtering by Ahmed Kotbi, Michael Lejeune, Pierre Barroy, Ilham Hamdi Alaoui, Wiaam El Hakim, Frederic Lamarque, Andreas Zeinert

“…HMDSO and Silver are used in this study for the fabrication of optical filters using two types of structures, a multiple cavity metal–dielectric (MCMD) and the Fabry–Perot structure. The silver layers are deposited by a sputtering process. The MCMD optical filter shows a higher transmittance of about 30%, but a wide range of wavelengths is transmitted. …”
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Organobentonite fabrication assisted by surfactant octadecylamine intercalation under hydrothermal/solvothermal condition for effective direct yellow dye removal by Yusuf Mathiinul Hakim, Mardiyanto, Idha Royani, Risfidian Mohadi

“…In addition, the adsorption processes on direct yellow are mainly characterized by the pseudo-first-order kinetic and Langmuir isotherm models. …”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…To improve the detection efficiency and reduce the model's computational cost, the layer-adaptive magnitude-based pruning(LAMP) score-based channel pruning algorithm was applied to compress the base YOLOv8s model. …”
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Robust Estimation of Unsteady Beat-to-Beat Systolic Blood Pressure Trends Using Photoplethysmography Contextual Cycles by Xinyi Huang, Xianbin Zhang, Richard Millham, Lin Xu, Wanqing Wu

“…The generated feature vectors are then processed by Transformer layers with relative position encoding (RPE) to capture inter-cycle interactions and temporal dependencies in the second stage. …”
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Machine Learning to Retrieve Gap-Free Land Surface Temperature from Infrared Atmospheric Sounding Interferometer Observations by Fabio Della Rocca, Pamela Pasquariello, Guido Masiello, Carmine Serio, Italia De Feis

“…Still, it cannot penetrate thick cloud layers, making observations blind to surface emissions under cloudy conditions, with surface and atmospheric parameters being flagged as voids. …”
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Land-cover classification in Addo Elephant National Park: Analyzing the impact of variables, classifiers, and object-based approach by Mohammad Safaei, Jane Southworth, Cerian Gibbes, Hannah V. Herrero, Mashoukur Rahaman, Bewuket B. Tefera, Jason K. Blackburn

“…Spectral mixture analysis was performed, and the resulting fraction layers were used as independent variables in the models. …”
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Review on migration and entrapment of light nonaqueous phase liquids ‎in the subsurface environment by Doaa F. Almaliki, Harris Ramli, Ali Zaiter, Ishmail Sheriff

“…Researchers have investigated LNAPL movement in layered heterogeneous sand to ‎understand the effects of local low permeability on the contaminant ‎velocities. …”
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The Impact of Farmland Transfer on Urban–Rural Integration: Causal Inference Based on Double Machine Learning by Yuchen Lu, Jiakun Zhuang, Jun Chen, Chenlu Yang, Mei Kong

“…The analysis of the impact of the 2010 liberalisation of the land transfer policy employs a dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, to address the limitations of traditional causal inference models while ensuring estimation accuracy. …”
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Automatic Body Measurement for Straight-Tube Mountain Bike Size Selection Using Closest Size Classification by Patsama Charoenpong, Kunyada Kongtanee, Patee Chaiprasittigul, Kitti Sathapornprasath, Theekapun Charoenpong

“…U-Net with batch normalization layers and morphological operations is used to accurately segment the human area, followed by measurements of the rider&#x2019;s arm length, inseam height, and torso length. …”
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