Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…However, these approaches have drawbacks such as their low accuracy in classifying the extracted features into associated movement paths, high sensitivity to noisy data, and ignoring time dependencies within raw data. …”
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IRR-Net: A Joint Learning Framework for Image Reconstruction and Recognition of Photoacoustic Tomography by Zheng Sun, Bing Ai, Meichen Sun, Yingsa Hou

“…In photoacoustic tomography (PAT), object identification and classification are usually performed as postprocessing processes after image reconstruction. Since useful information about the target implied in the raw signal can be lost during image reconstruction, this two-step scheme can reduce the accuracy of tissue characterization. …”
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Trajectories of a magnetic sphere in a shaken three-dimensional granular bed under low gravity by Ke Cheng, Meiying Hou, Wei Sun, Zhihong Qiao, Xiang Li, Tuo Li, Mingcheng Yang

“…Additionally, we make the raw magnetic field data, processing scripts, and visualization tools accessible to the public. …”
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A Real-World Energy Management Dataset from a Smart Company Building for Optimization and Machine Learning by Jens Engel, Andrea Castellani, Patricia Wollstadt, Felix Lanfermann, Thomas Schmitt, Sebastian Schmitt, Lydia Fischer, Steffen Limmer, David Luttropp, Florian Jomrich, René Unger, Tobias Rodemann

“…Both raw and processed data at different processing levels, including labeled issues, is available. …”
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Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset by Shanshan Wang, Shoujun Yu, Jian Cheng, Sen Jia, Changjun Tie, Jiayu Zhu, Haohao Peng, Yijing Dong, Jianzhong He, Fan Zhang, Yaowen Xing, Xiuqin Jia, Qi Yang, Qiyuan Tian, Hua Guo, Guobin Li, Hairong Zheng

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Evaluation of drying behavior and characteristics of potato slices in multi–stage convective cabinet dryer: Application of artificial neural network by Susama Chokphoemphun, Somporn Hongkong, Suriya Chokphoemphun

“…The shrinkage analysis was based on the photographic data taken through image processing before usage as the output data for the predictive model. …”
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Dataset on wastewater quality monitoring with adsorption and reflectance spectrometry in the UV-vis range by Pierre Lechevallier, Günter Gruber, Vojtěch Bareš, Nicolas Neuenhofer, Laura Waldner, Abhinit Mahajan, Lena Mutzner, Jörg Rieckermann

“…We also gathered 86 samples after four rain events and analyzed them for twenty organic chemicals, providing insights into the impact of wet weather on pollutant levels. The data collection and processing methodologies are detailed, along with visualizations and analysis. …”
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A large-scale curated and filterable dataset for cryo-EM foundation model pre-training by Qihe Chen, Zhenyang Xu, Haizhao Dai, Yingjun Shen, Jiakai Zhang, Zhijie Liu, Yuan Pei, Jingyi Yu

“…Cryo-EM faces significant challenges due to its extremely low signal-to-noise ratio (SNR) where the complexity of data processing becomes particularly pronounced. …”
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The Transdiagnostic Connectome Project: an open dataset for studying brain-behavior relationships in psychiatry by Sidhant Chopra, Carrisa V. Cocuzza, Connor Lawhead, Jocelyn A. Ricard, Loïc Labache, Lauren M. Patrick, Poornima Kumar, Arielle Rubenstein, Julia Moses, Lia Chen, Crystal Blankenbaker, Bryce Gillis, Laura T. Germine, Ilan Harpaz-Rotem, B. T. Thomas Yeo, Justin T. Baker, Avram J. Holmes

“…Here, we detail available behavioral data as well as raw and processed MRI derivatives. …”
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UAS hydrometry: contactless river water level, bathymetry, and flow velocity – the Rӧnne river dataset by Zhen Zhou, Laura Riis-Klinkvort, Emilie Ahrnkiel Jørgensen, Daniel Haugård Olesen, Alexander Rietz Vesterhauge, Monica Coppo Frías, Makar Lavish, Sune Nielsen, David Gustafsson, Daniel Wennerberg, Jenny Axén, Viktor Fagerstrӧm, Peter Bauer-Gottwein

“…All data are divided into three processing levels: the raw data (Level 1), processed point data (Level 2), and point data referenced to a reference river centerline/reference cross section line (Level 3). …”
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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…The dataset can support machine learning applications for in-situ monitoring, process optimization, and control. The dataset is structured into different levels, such as raw, processed, and diverse subsets. …”
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Biomass char gasification for hydrogen production: A thermodynamic equilibrium analysis by Shaolin Liu, Amine Ben-Abdelwahed, Cécile Gaborieau, Jean Lachaud

“…Hydrogen can be produced from biomass via thermochemical conversion, either through direct gasification of raw biomass or a two-step process involving pyrolysis to generate char, followed by char gasification. …”
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A dataset for state of charge and range estimation of an L5 type electric vehicle that is used for Urban LogisticZENODO by Ahmet Alperen Polat, Sinem Bozkurt Keser, İnci Sarıçiçek, Alim Kerem Erdoğmuş, Ali Kafalı, Ahmet Yazıcı

“…Then, the cleaning process converts the raw data into one-second intervals. …”
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Integrating gonadal RNA-seq and small RNA-seq to analyze mRNA and miRNA changes in medaka sex differentiation by Xing Lin, Yuanli Zhao, Yifan Bai, Kaifeng Meng, Yuanyuan Chen, Meidi Hu, Fei Liu, Daji Luo

“…Medaka (Oryzias latipes), the first fish in which the sex determination gene was identified, serves as an ideal model for studying this process. Here, we generated gonadal RNA-seq and small RNA-seq data from XY DMY- females, wild-type females and males to explore this crosstalk. …”
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A dataset of psychological emotional expressions relating to depression, anxiety and stress for Malay language model trainingOSF by Ruhaila Maskat, Nor Hapiza Mohd Ariffin, Nurul Akhmal Dzulkefli

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A Dataset for Assessing and Optimizing Quadrant Photodiode-based Visible Light Positioning Systems by Elena Aparicio-Esteve, Jesús Ureña, Álvaro Hernández, David Moltó

“…Generated using a novel simulation tool, QUAPOS includes both raw and processed data, such as the received energy at every receiver corresponding to every emitter, the estimated positioning coordinates of the emitters (using our own positioning algorithm and considering that the receivers are in known positions), and the ground truth (real position of the emitters). …”
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Dataset on physico-chemical characteristics of Exogenous Organic Matters (EOMs) gathered from various European countriesZenodo by Aurélia Marcelline Michaud, Hélène Van Der Smissen, Lucille Caradec, Elina Tampio, Johanna Laakso, Florent Levavasseur, Karolina Barcauskaite, Donata Drapanauskaite, Maria Valentina Lasorella, Irene Criscuoli, Paulien Van Asperen, Janjo De Haan, Julie Jimenez, Sabine Houot

“…Exogenous Organic Matters (EOMs) are secondary raw materials, i.e., wastes and residues from agriculture, municipalities or industry, which are either used as such or further processed with different technologies. …”
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Dataset of air cargo supply chain conditions and fruit quality evolution: Case study of mango shipment from Thailand to FranceDataverse by Y. Paviet-Salomon, O. Laguerre, S. Duret, A. Denis, P. Mawilai, K. Srisawat, E. Derens-Bertheau, F.T. Ndoye, T. Pongsuttiyakorn, S. Rakmae, U.K. Pun, P. Sirisomboon, P. Pornchaloempong, N. Chaomuang

“…These data are stored in series of txt files, with raw values and processed results i.e. min, max, average values, standard deviation and variance to facilitate future analysis. …”
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Thermal Degradation of Face Mask Waste through Pyrolysis at Different Temperatures for Value-Added Products by Nikola Cajova Kantova, Michal Holubcik, Robert Cibula, Katerina Benova, Jachym Muck, Jan Najser

“…The measured data provide a basis for analyzing the pyrolysis process of face masks and respirators under varying thermal conditions. …”
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Dataset for Evaluating the Production of Phonotactically Legal and Illegal Pseudowords by Valérie Chanoine, Snežana Todorović, Bruno Nazarian, Jean-Michel Badier, Khoubeib Kanzari, Andrea Brovelli, Sonja A. Kotz, Elin Runnqvist

“…We organized the dataset according to the Brain Imaging Data Structure (BIDS), pre-processed the data and performed a minimal analysis of Event-Related Fields (ERFs), to ensure data quality and integrity of the dataset. …”
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