A new concept for medical imaging centered on cellular phone technology. by Yair Granot, Antoni Ivorra, Boris Rubinsky

“…The cellular phone technology transmits unprocessed raw data from the patient site DAD and receives and displays the processed image from the central site. …”
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Spatio-Temporal Graphs in Transportation: Challenges, Optimization, and Prospects by Aleksandr Rakhmangulov, Nikita Osintsev, Pavel Mishkurov

“…Intelligent and information systems in transportation record and accumulate large volumes of raw data on dynamic transportation processes. However, these data are not fully utilized for forecasting, real-time planning, and transportation management. …”
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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…Citizen science generates terabytes of raw numerical, text, and image data, the analysis of which requires automated techniques to process in an efficient manner. …”
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Diagnosis and activity prediction of SLE based on serum Raman spectroscopy combined with a two-branch Bayesian network by Qianxi Xu, Qianxi Xu, Qianxi Xu, Xue Wu, Xue Wu, Xue Wu, Xinya Chen, Ziyang Zhang, Jinrun Wang, Jinrun Wang, Zhengfang Li, Zhengfang Li, Zhengfang Li, Xiaomei Chen, Xiaomei Chen, Xiaomei Chen, Xin Lei, Xin Lei, Zhuoyu Li, Zhuoyu Li, Zhuoyu Li, Mengsi Ma, Mengsi Ma, Mengsi Ma, Chen Chen, Lijun Wu, Lijun Wu

“…Serum Raman spectra samples were collected from 80 patients with SLE and 81 controls, including those with dry syndrome, undifferentiated connective tissue disease, aortitis, and healthy individuals. Following the pre-processing of the raw spectra, the serum Raman spectral data of SLE were classified using the deep learning model DBayes. …”
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Using SAR-based products to calculate potato carbon uptake in a tropical Andean region by Gustavo Alfonso Araujo-Carrillo, Julio Martín Duarte-Carvajalino, Diego Fernando Sánchez-Vivas, Gerardo Antonio Góez-Vinasco, Ángela María Castaño-Marín

“…Raw and processed radar data from Sentinel-1 were compared with the daily and accumulated GPP from the EC. …”
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Identification and quantitative determination of arbutin in the herb of Orthilia secunda by A. V. Lezina, I. I. Terninko, M. V. Krysko

“…From literary sources it is known that this medicinal plant raw material (PRM) contains flavonoids, tannins, organic acids, vitamins, as well as simple phenols and their derivatives (arbutin and hydroquinone). …”
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A Study on Hyperspectral Soil Moisture Content Prediction by Incorporating a Hybrid Neural Network into Stacking Ensemble Learning by Yuzhu Yang, Hongda Li, Miao Sun, Xingyu Liu, Liying Cao

“…Taking the black soil in the Nanguan District of Changchun City as the research object, this paper proposes a stacking ensemble learning model integrating hybrid neural networks to address the issue that it is difficult to improve the accuracy of inversion soil moisture content by a single model. First, raw hyperspectral data are processed by removing edge noise and standardization. …”
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Automated Detection of Recent Mud Extrusions Using UAV Imagery and Deep Learning: A Comparative Analysis of Traditional and CNN-Based Approaches by M. Guastella, M. Guastella, A. Pisciotta, R. Martorana, A. D’Alessandro

“…Traditional algorithms rely on handcrafted features, while CNNs learn hierarchical representations directly from raw data. Feature extraction methods were selected based on their ability to distinguish between the two designated classes effectively. …”
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Multi-tissue analysis of co-expression networks by higher-order generalized singular value decomposition identifies functionally coherent transcriptional modules. by Xiaolin Xiao, Aida Moreno-Moral, Maxime Rotival, Leonardo Bottolo, Enrico Petretto

“…Our method can accommodate weighted (and unweighted) networks of any size and can similarly use co-expression or raw gene expression input data, without hinging upon the definition and stability of the correlation used to assess gene co-expression. …”
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A contrastive learning and knowledge distillation-based framework for efficient federated intrusion detection in IoT by Li Ma, Jicheng He, Kai Lu, Dan Wang, Long Yin, Zhaokun Li

“…Through local deployment on low-computational-power end devices, KF-IDS avoiding upload raw data to the cloud. Experimental evaluations on public IoT datasets demonstrate that CF-IDS achieves 80.71% accuracy in non-IID scenarios, outperforming other federated learning methods such as FedNova. …”
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The impact of electronic commerce adoption on the performance of microenterprises: Do technological context, organizational context, and external environment matter? by Suyanto Suyanto, Arvin Winatha, Olivia Tanaya

“…Acknowledgment This work was supported by the Indonesian Ministry of Education, Culture, Research, and Technology under fundamental research grant number 109/E5/PG.02.00.PL/2024.The authors do not have permission to share the data because the raw data are collected under a license from the East Java Department of Cooperative, Micro, Small, and Medium Enterprises.…”
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Estimating building height using scene classification and spatial geometry by Yonghua Jiang, Jingxin Chang, Yunming Wang, Shaodong Wei, Deren Li

“…This study introduces a novel method for estimating building height by integrating scene classification with spatial geometric relationships. Initially, raw data are processed to derive the various data types required for this approach. …”
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PEaF-Production Environment Analyzer Framework: Assisting Continuous Deployment of 5G Workloads Using AI/ML by Karthikeyan Subramaniam, Senthil Kumar, Asutosh Mishra, Ayush Bhandari, Jamsheed Manja Ppallan, Ganesh Chandrasekaran

“…PEaF uses AI/ML techniques to analyze the production environment and predict the health status of the hardware components. It collects raw data, applies K-Means clustering to group similar data points, and assigns scores to each cluster. …”
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FIRST RESULTS ON THE DIRECTION STATISTICS OF PAIRS OF EPICENTERS OF NEIGHBOR EARTHQUAKES ON KAMCHATKA by A. A. Gusev, A. A. Palueva

“…The significance value, Q, is indicated on plots, in most cases it is below 0.1 %. Such are the processing procedures employed; then the analysis of data was performed.N-histograms have been determined for three circles of the 150-km radius shown on Fig. 1, and for five ten-year periods. …”
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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

“…Abstract Protecting user privacy is essential in machine learning research, especially in the context of data collection. Federated learning (FL), which trains models across decentralized devices without sharing raw data, has emerged as a promising solution. …”
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Practical steps to integrate life cycle thinking into alternative assessment by John D Chea, Michael A Gonzalez

“…Therefore, this expanded methodology can be used to automate data acquisition to aid in assessing safer and more sustainable chemical alternatives.…”
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SAFIRE STRENGTH OPTIMIZATION: EFFECT ON TISSUE CONTRAST AND PATHOLOGICAL ASSESSMENT OF BRAIN MSCT WITH NON-HEMORRHAGE STROKE (SNH) by I Putu Eka Juliantara, Angel Lingkan Martoyo, Made Sayang Pratista

“…Background: Sinogram Affirmed Iterative Reconstruction (SAFIRE) is an Iterative Reconstruction algorithm that combines IR techniques that utilize raw data and image data iterations as parameters that underlie noise regularization in images in the reconstruction process to improve image quality. …”
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Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…The DLBITM-AMD method performs a Z-score normalization process to convert the raw data into a standard form. …”
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ANALISIS KINERJA USAHA PEMBUATAN IKAN KERING DI KOTA BENGKULU by Bambang Sumantri, Agus Purwoko, Sriyoto Sriyoto

“…The study was conducted in the city of Bengkulu in March to June 2015 by surveying 55dried fish processorpurposively. Data were analyzed descriptively that utilizes primary data and analyzed by income value approach and economic efficiency. …”
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Role of Rural Women in Sustaining the Fish Crackers Business: A Case Study in South Sumatra by Yunindyawati Yunindyawati

“…Using qualitative analysis methods, the collected data were analyzed. Women perform a variety of roles in the production of crackers fish, including dough preparation, crackers fish formation, boiling, drying/drying process, roasting, packaging, and sales. …”
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