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Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study
Published 2025-07-01“…MethodsOur methodology involves the strategic collection of depressed and nondepressed voice recordings. …”
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Dataset of subjective human responses and objective metrics related to motion sickness collected and computed on a winter research voyageSUNScholarData
Published 2025-06-01“…The dataset can be used to compare the concomitant methods of human data collection, compute diagnostic seasickness criteria to serve as a guideline for estimating the incidence of motion sickness on a ship during a voyage, correlate the subjective human and ship responses with each other or used to generate further datasets, for example by using the motion sickness dose values to make objective estimations of the state of motion sickness that can be compared with the subjective responses.…”
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Patterns of healthcare utilisation in children and young people: a retrospective cohort study using routinely collected healthcare data in Northwest London
Published 2021-12-01“…Our study uses segmentation methods to distinguish patterns of healthcare utilisation in children and young people (CYP) and to explore predictors of segment membership.Design A retrospective cohort study.Setting Routinely collected primary and secondary healthcare data in Northwest London from the Discover database.Participants 378 309 CYP aged 0–15 years registered to a general practice in Northwest London with 1 full year of follow-up.Primary and secondary outcome measures Assignment of each participant to a segment defined by seven healthcare variables representing primary and secondary care attendances, and description of utilisation patterns by segment. …”
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Comparative analysis of single-view and multiple-view data collection strategies for detecting partially-occluded grape bunches: Field trials
Published 2025-03-01“…While most research concentrates on data processing algorithms, this study focused on the preceding step: collecting reliable data. …”
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External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data
Published 2025-04-01“…Material and Methods We conducted a multicenter analysis using data collected for the IS‐PAS database. …”
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Multi-objective data collecting strategies for wireless sensor network based on the time variable multi-salesman problem and genetic algorithm
Published 2017-03-01“…Comparing to the traditional data collecting method with data route,the technology of wireless mobile nodes has gradually became a new technique in the wireless sensor network.As the solution to the visiting order of the static nodes was an intrinsic NP-hard problem,a more general multi-objective data colleting strategies based on multi-mobile nodes was proposed.The proposed data collecting technique was abstracted as a model of time variable multiple traveling salesman problem.Belonging to a discrete optimal problem,the proposed model was solved by with a proposed hybrid genetic algorithm to determine the paths of the multi-mobile nodes.The convergence analysis of the proposed algorithm was given.With the experiment of open dataset,the proposed model based on the time variable multiple traveling salesman problem and the proposed hybrid genetic algorithm certify a certain improvement to the efficiency and real-time ability.…”
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Practices for collecting, analyzing and disseminating data on health and its social determinants among Black populations in Quebec: a scoping review
Published 2025-04-01“…This scoping review documents the methods and issues related to the collection, analysis and dissemination of data on the health of Black populations in Quebec, and its social determinants. …”
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CNN Based Fault Classification and Predition of 33kw Solar PV System with IoT Based Smart Data Collection Setup
Published 2024-12-01“…The real-time data from the PV system for five years, covering 23,000 instances of eight types of faults such as Cell Cracks or Hot Spots, Partial Shading, sensor fault, Module failure, Ground Faults, Communication Errors, Environmental Factors, Grid Connectivity Issues are collected. …”
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Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo
Published 2025-08-01“…This dataset provides urban climate data collected from seven weather stations in Torino, Italy, spanning the years 2014 to 2023. …”
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The impact of the reform of rural collective property rights system on villagers' public participation: An empirical study based on CRRS 2020 data.
Published 2025-01-01“…This study comprehensively explores the spillover effects of the reform at the village level on public participation at the individual level through the use of more accurate measurement indicators, empirical analysis methods, and large-scale authoritative data, providing strong support for proposing strategies to promote villages' public participation.…”
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Removing the Need for Ground Truth UWB Data Collection: Self-Supervised Ranging Error Correction Using Deep Reinforcement Learning
Published 2024-01-01“…Experiments on real-world UWB measurements demonstrate comparable performance to state-of-the-art supervised methods, overcoming data dependency and lack of generalizability limitations. …”
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Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Published 2025-01-01“…As a result, several previously published face data sets have been removed from the internet due to inadequate data collection methods and privacy concerns. …”
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Preliminary application of the Sharesource connect data collection and analysis system in the management of continuous renal replacement therapy in the intensive care unit
Published 2025-08-01“…Data from 9 Prismaflex CRRT machines were collected retrospectively during 2023 and prospectively on a monthly basis during 2024. …”
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OPINII ALE CADRELOR DIDACTICE CU PRIVIRE LA REALIZAREA ETAPEI DE EVALUARE ÎN ÎNVĂŢĂMÂNTUL SIMULTAN
Published 2025-07-01“…This article is based on the analysis of data collected in a research study conducted during the 2021-2022 school year, on a sample of 175 primary school teachers. …”
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LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping
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