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Vibration, current, torque, RPM dataset for multiple fault conditions in industrial-scale electric motors under randomized speed and load variationsMendeley DataMendeley DataMendel...
Published 2025-10-01“…The recorded sensor signals include three-phase current data (R-, S-, T-phase), vibration data (z-axis), and torque data. …”
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Current status and prospects of computer vision-based attitude and deformation measurement applications in wind tunnels
Published 2025-04-01“…However, the specific conditions of wind tunnel environments impose certain limitations on the practical applications of visual measurement techniques. In response to the intelligent demands of wind tunnel tests, this paper summarizes applications for model attitude and deformation measurement in wind tunnels. …”
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Applications of Machine Learning for Wine Recognition Based on <sup>1</sup>H-NMR Spectroscopy
Published 2025-03-01Get full text
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Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis
Published 2025-05-01“…This approach revealed two primary research directions: (1) quantum computing for artificial intelligence in healthcare, and (2) quantum computing for healthcare data security. We highlight the theoretical advances underlying these domains, from novel quantum machine learning algorithms for biomedical data to quantum cryptographic protocols for securing medical information. …”
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IMPLIKASI PRINSIP CAVEAT VENDITOR TERHADAP PERKEMBANGAN HUKUM PERLINDUNGAN KONSUMEN DI INDONESIA
Published 2018-01-01“…For that purpose, the specification of the research is descriptive-analytical. Adapun data yang diperoleh berasal dari data kepustakaan sebagai sumber data sekunder, serta untuk menunjang dan melengkapinya dilakukan wawancara untuk mendapatkan data primer, dan dari data yang terkumpul dianalisis secara kualitatif yuridis.The data obtained from study of literature is utilized as secondary data. …”
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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities
Published 2025-02-01“…The recognition model will filter and denoise the input image data, open and close calculation, binarization, data amplification and skeletonization. …”
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Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study
Published 2025-11-01Get full text
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Sentiment Analysis of Online Vehicle Tax Renewal Application Users Using Support Vector Machine Algorithm
Published 2024-11-01“…The data was collected from user reviews on the Google Play Store for three major applications: New Sakpole, Sapawarga, and Timsalut. …”
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Rapid modeling and 3D matching of GB InSAR landslide emergency monitoring: Method and application
Published 2024-11-01Get full text
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Coastal Development Implications to changes of Coastal Typology in Denpasar City Environment
Published 2025-03-01“…This research aims to describe the implications of coastal development on changes in coastal typology in Denpasar City. …”
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AnywhereXR: on-the-fly 3D environments as a basis for open source immersive digital twin applications
Published 2025-08-01“…Utilizing the Netherlands as our starting point, we envision expanding this methodology worldwide, leveraging open data and software to address pressing societal challenges across diverse domains.HighlightsLightweight creation of high-fidelity, object-based 3D environments on-the-fly based on public data sets3D environments suitable for creating interactive and adaptble immersive experiences through AR and VRConnections to digital twin applicationsEvaluation and case studyEnable futuring and co-design using immersive digital twins…”
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Data‐driven guidelines for phylogenomic analyses using SNP data
Published 2024-11-01“…We compared branch length, node support, and divergence time estimation across 16 datasets with varying amounts of missing data and total size. Results Our results revealed five aspects of phylogenomic data usage that may be generally applicable: (1) tree topology is largely congruent across analyses; (2) filtering strictly for SNP retention (e.g., 90–100%) reduces support and can alter some inferred relationships; (3) absolute branch lengths vary by two orders of magnitude between SNP and locus datasets; (4) data type and branch length variation have little effect on divergence time estimation; and (5) phylograms alter the estimation of ancestral states and rates of morphological evolution. …”
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Digital Health: Implications for Heart Failure Management
Published 2021-05-01“…Support for patients and clinicians wishing to use these technologies is important, along with consideration of data validity and privacy and appropriate recording of decision-making.…”
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