Analysis of Seaweed Chips Business Feasibility (Case Study on "NORIbet" Seaweed Processed MSMEs in the City of Bandung, West Java) by Ristiafani, Ine Maulina, Emma Rochima, Iwang Gumilar

“…Indonesia is the world’s largest producer of seaweed, contributing 16.2% to the global market, yet most of its seaweed is still exported in raw form. This limits added value creation and hinders the growth of micro, small, and medium enterprises (MSMEs). …”
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Controle multivariado de processos em batelada com duração variável Multivariate statistical control of unsynchronized batch processes by Flávio S. Fogliatto, Ndèye Niang

“…In a typical batch, raw materials are loaded in the processing unit and submitted to a series of transformations, yielding the final product. …”
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Electroencephalographic responses before, during, and after upper limb paired associative stimulationCBS Data Sharing Platform by Yumi Shikauchi, Kazumasa Uehara, Yuka O. Okazaki, Keiichi Kitajo

“…Here, we present a novel dataset of electroencephalography (EEG) measurements during PAS with an inter-stimulus-interval of 25 ms (PAS25, expected to induce long-term potentiation-like changes) or 35 ms (PAS35, no expected change). This dataset includes raw data and pre-processed data with electromagnetic artefacts removed. …”
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Enhance health evidence quality in classification tasks: A triangulation approach utilizing case-based reasoning and process features by Ruihua Guo, Ross Smith, Qifan Chen, Angus Ritchie, Simon Poon

“…Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. …”
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Hybrid ML/FWI method using GPR data to evaluate the tack coat characteristics in pavements: Experimental validation by Grégory Andreoli, Amine Ihamouten, Franziska Schmidt, Mai Lan Nguyen, David Souriou, Xavier Dérobert

“…To evaluate this residual bituminous emulsion at the interface between the wearing course and the binder course, we have developed an inverse method based on a hybrid data processing approach that combines machine learning (ML) algorithms with Full-Waveform Inversion (FWI). …”
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Advancing geodynamic research in Antarctica: reprocessing GNSS data to infer consistent coordinate time series (GIANT-REGAIN) by E. Buchta, M. Scheinert, M. A. King, M. A. King, T. Wilson, A. Koulali, P. J. Clarke, D. Gómez, E. Kendrick, C. Knöfel, C. Knöfel, P. Busch, P. Busch

“…Further, the metadata necessary for rigorous data processing have often not been available or reliable. …”
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Color as a High-Value Quantitative Tool for PET/CT Imaging by Michail Marinis, Sofia Chatziioannou, Maria Kallergi

“…It should be noted that the output .png files contained all the raw values and may be treated as raw DICOM input data.…”
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Deep learning-based phase demodulation for distributed acoustic sensor by Yiming Tang, Kewei Liu, Chen Liu, Haiyong Wu, Rugang Wang, Mengmeng Chen, Fei Xu

“…However, the crucial task of obtaining demodulation results from raw data remains relatively underexplored. Accurate demodulation is essential for a deeper understanding of the physical processes in fiber optic sensing systems, enhancing measurement accuracy, and optimizing system performance. …”
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Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo by W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

“…Moreover, the dataset demonstrates the automated execution of LiDAR data processing workflows, which is crucial for establishing a transnational and multi-site biodiversity and ecosystem observation network.…”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

“…The proposed solution uses the processed image values for the tracking process with the raw data using the Track-Before-Detect method.…”
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Integration of AI with artificial sensory systems for multidimensional intelligent augmentation by Changyu Tian, Youngwook Cho, Youngho Song, Seongcheol Park, Inho Kim, Soo-Yeon Cho

“…We introduce specialized AI algorithms and raw data processing methods for each function, designed to enhance and optimize sensing performance. …”
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DISPEL: A Python Framework for Developing Measures From Digital Health Technologies by A. Scotland, G. Cosne, A. Juraver, A. Karatsidis, J. Penalver-Andres, E. Bartholome, C. M. Kanzler, C. Mazza, D. Roggen, C. Hinchliffe, S. Del Din, S. Belachew

“…It already supports formats from different data providers and allows traceable end-to-end processing from raw data collected with wearables and smartphones to structured SDM datasets. …”
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A Real Data-Driven Fault Diagnosing Method for Distribution Networks Based on ResBlock-CBAM-CNN by Yuhai Yao, Hao Ma, Cheng Gong, Yifei Li, Qiao Zhao, Ning Wei, Bin Yang

“…To enhance diagnostic precision further, the proposed approach incorporates a multimodal data fusion model. This model combines raw on-site measurements, processed data, and external environmental information to extract relevant fault-related details. …”
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Data on battery health and performance: Analysing Samsung INR21700-50E cells with advanced feature engineering by Sahar Qaadan, Aiman Alshare, Alexander Popp, Myrel Tiemann, Utz Spaeth, Benedikt Schmuelling

“…This dataset provides a comprehensive collection of detailed measurements from 256 Samsung INR21700-50E cells, spanning 32 batches. It uniquely combines raw data and engineered features derived from charge-discharge cycles and Hybrid Pulse Power Characterization tests. …”
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Automatic Extraction of Road Interchange Networks from Crowdsourced Trajectory Data: A Forward and Reverse Tracking Approach by Fengwei Jiao, Longgang Xiang, Yuanyuan Deng

“…To address these limitations, we propose a forward and reverse tracking method for high-accuracy road interchange network generation. First, raw crowdsourced trajectory data is preprocessed by filtering out non-interchange trajectories and removing abnormal data based on both static and dynamic characteristics of the trajectories. …”
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A Comparative Analysis of Black-Box and Glass-Box Models for Poplar Plantation Mapping with Remote Sensing Data by M. Y. Ozturk, I. Colkesen

“…The study also assessed the most important features influencing the classification process. For this, while 15 features were selected employing the visual charts provided by EBM for interpreting the decision-making process, the SHAP technique was applied to examine the most prominent features in the XGBoost model structure. …”
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Convolutional neural network for colorimetric glucose detection using a smartphone and novel multilayer polyvinyl film microfluidic device by Mithun Kanchan, Prasad Kisan Tambe, Sanjay Bharati, Omkar S Powar

“…The resulting colored complex, formed by phenol and 4-aminoantipyrine in the presence of hydrogen peroxide generated during glucose oxidation, is captured at various glucose concentrations using a smartphone camera. Raw images are processed and utilized as input data for a 2-D convolutional neural network (CNN) deep learning classifier, demonstrating an impressive 95% overall accuracy against new images. …”
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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information by Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan

“…Starting from the trajectories of their constitutive units (raw data), typical approaches require choosing adequate parameters/descriptors to convert them into time-series that are then analyzed to extract human-interpretable information. …”
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Development of a Post-Processing Procedure to Characterize Damage in Hybrid Natural Woven Composites Subjected to Low-Velocity Impact by Means of Thermography Techniques by Tiziana Matarrese, Claudia Sergi, Davide Palumbo, Fabrizio Sarasini, Umberto Galietti

“…However, in recent years, the main works on thermographic techniques have focused on processing the raw data with the aim of increasing the signal-to-noise ratio and the probability of damage detection. …”
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The Coffee Processing Method Had a More Pronounced Effect than Location and Production Systems on the Overall Quality of Kaffa Biosphere Reserve Coffees by Addis Alemayehu Tassew, Gezahegn Berecha Yadessa, Adugna Debela Bote, Taye Kufa Obso

“…However, the production systems of districts varied significantly. The coffee processing method had a pronounced effect on the overall quality and preliminary grade, physical and raw quality variables of coffee. …”
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