Estimation of Crude Protein Content in Revegetated Alpine Grassland Using Hyperspectral Data by Yanfu Bai, Shijie Zhou, Jingjing Wu, Haijun Zeng, Bingyu Luo, Mei Huang, Linyan Qi, Wenyan Li, Mani Shrestha, Abraham A. Degen, Zhanhuan Shang

“…Remote sensing plays an important role in understanding the degradation and restoration processes of alpine grasslands. However, the extreme climatic conditions of the region pose difficulties in collecting field spectral data on which remote sensing is based. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…The proposal is based on Genetic Programming (GP), the paradigm of evolutionary computing, which has become relevant in recent years for image-processing tasks. It provides flexibility, which allows the use of image processing functions to extract meaningful information from raw images. …”
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LSTM‐based real‐time stress detection using PPG signals on raspberry Pi by Amin Rostami, Koorosh Motaman, Bahram Tarvirdizadeh, Khalil Alipour, Mohammad Ghamari

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Solución a un problema estático en un área con topografía abrupta usando una velocidad de reemplazamiento variable by Castillo López Luis Antonio, Pedraza Carlos

“…</span></p><p class="MsoNormal" style="line-height: normal; margin: 0cm 0cm 0pt; mso-layout-grid-align: none;"><span style="font-family: ";Arial";,";sans-serif";; font-size: 12pt; mso-ansi-language: EN-US;" lang="EN-US">The method propose to seismic processing, was tested on raw register an a seismic line with abrupt topography in a Colombia area. …”
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Qualitative Precipitation Estimation from Satellite Data Based on Distributed Domain-Specific Architecture by Sethakarn Prongnuch, Theerayod Wiangtong, Suchada Sitjongsataporn

“…The QPE process consists of receiving and managing the raw data from the satellite every 10 minutes and calculating the rain-temperature relationship. …”
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Focusing Highly Squinted FMCW-SAR Data Using the Modified Wavenumber-Domain Algorithm by Tinghao Zhang, Yachao Li, Mingze Yuan, Liang Guo, Jiao Guo, Hao Lin, Mengdao Xing

“…The experimental results of both numerical and raw-measured FMCW-SAR data demonstrate the superiority of the proposed method.…”
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Power Load Data Completion Method Based on Integrated Graph Convolutional Variational Transformer by YAN Li, HU Hailin, SHI Lei, WU Qinzheng, LÜ Tianguang, XU Yingdong, ZHANG Wenbin, WANG Gaozhou

“…The IGCVT model aggregates an improved graph convolutional network （GCN） and Transformer model using the variational auto-encoder （VAE） architecture. The raw data are processed by the GCN to learn spatial features and deeply mine spatial dependencies； the hidden layer data are reconstructed by the VAE to more effectively restore data distribution characteristics； and the temporal autocorrelation information of the sequence is mined based on the Transformer model. …”
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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Determination of the actual accuracy of GNSS positioning using a total station for monitoring landslide processes by V.V. Korobiichuk, D.V. Mitchenko

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Inertial-Based Human Motion Capture: A Technical Summary of Current Processing Methodologies for Spatiotemporal and Kinematic Measures by Benjamin R. Hindle, Justin W. L. Keogh, Anna V. Lorimer

“…The validity of IMC is, however, suggested to be dependent on the methodologies used to process the raw data collected by the inertial device. …”
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Uncertainty-Aware Predictive Process Monitoring in Healthcare: Explainable Insights into Probability Calibration for Conformal Prediction by Maxim Majlatow, Fahim Ahmed Shakil, Andreas Emrich, Nijat Mehdiyev

“…Experimental results on process-driven healthcare data indicate that the integration of calibration with CP not only enhances the statistical robustness of uncertainty estimates but also improves the interpretability of predictions, thereby supporting safer and robust clinical decision-making.…”
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Analyzing the Accuracy of Answer Sheet Data in Paper-based Test Using Decision Tree by Edy Suharto, Aris Puji Widodo, Suryono Suryono

“…In this study, a method was proposed in order to analyze the accuracy of answer sheet filling out in paper-based test using data mining technique. A single layer of data comprehension was added within the method instead of raw data. …”
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CEA-Functionalized Gold Nanoparticles as a Nanovaccine Platform: In Vitro Evaluation of Cytocompatibility, Cellular Uptake, and Antigen Processing by Razvan-Septimiu Zdrehus, Teodora Mocan, Lavinia Ioana Sabau, Cristian Tudor Matea, Flaviu Tăbăran, Teodora Pop, Cristian Delcea, Ofelia Mosteanu, Lucian Mocan

“…Hyperspectral and confocal microscopy revealed the efficient uptake of CEA-AuNPs by RAW 264.7 cells and colocalization with lysosomal compartments, suggesting successful antigen processing. …”
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Analysis of the Exports Structure from the Russian Federation in the light of the Theory of Technological Structures by A. S. Linnikov

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Modeling the Process of Obtaining Liquid Pyrolysis Products of Plant Biomass Taking into Account the Rate of their Cooling by S. V. Vasilevich, M. V. Malko, D. V. Degterov, A. N. Asadchy

“…The method of calculating the optimal operating parameters (temperature and cooling rate) of the techno-logical process is presented. An expression is proposed to determine the consumption of wood raw materials depending on the temperature of the thermochemical conversion process. …”
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Pomegranate Peel as a Sustainable Additive for Baijiu Fermentation: Physicochemical and Flavor Analysis with Process Optimization by Longwen Wang, Guida Zhu, Na Li, Zhiheng Wang, Yi Ji, Chen Shen, Jing Yu, Ping Song

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Bran from composite grain mixture as an object of deep processing. Part 2. Carbohydrate-amylase and lipid complexes by I. S. Vitol, E. P. Meleshkina, G. N. Pankratov

“…Polycomponent bran obtained by joint grinding of a grain mixture from cereals (wheat), legumes (lentils) and oilseeds (flax) should be considered as a valuable secondary raw material, the use of which for deep processing will make it possible to obtain various food and feed ingredients. …”
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Characteristics of the epidemic process of Lyme borreliosis in the Sverdlovsk district over a 20-year period by N. M. Kolyasnikova, L. G. Chistyakova, A. V. Ponomareva, A. E. Platonov, V. V. Romanenko, T. A. Chekanova, A. V. Titkov, A. A. Ishmukhametov, V. G. Akimkin

“…To characterize the epidemic process of LB in the territory of the Sverdlovsk district over a 20-year period (2002–2021).Materials and methods. …”
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Effect of Essential Microelements on Proteomic Profile of Lamb Muscle Tissue Protein by Tatiana M. Giro, Andrey V. Kulikovsky, Anna V. Giro

“…Proteomic technologies make it possible to evaluate the composition of meat raw materials at different stages of processing. …”
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Determination of optimum nanofiltration conditions for the manufacturing process of human normal immunoglobulin G for intravenous administration by N. V. Zubkova, A. M. Nikolaeva, A. V. Ivanov, O. V. Beliakova, M. V. Razumikhin, N. V. Vinokurova, I. S. Efimova, T. I. Smolyanova, E. I. Sakanyan

“…Nanofiltration is a way to mitigate the risk of in-process contamination of raw materials with various pathogens, including viruses. …”
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