Výsledky vyhledávání - "Unsupervised Machine Learning Algorithm"

Pressure pattern recognition in buildings using an unsupervised machine-learning algorithm Autor Kim, Bubryur, Yuvaraj, N., Tse, K.T., Lee, Dong-Eun, Hu, Gang

“… However, the characteristics of wind pressures are usually complex. This study employs an unsupervised machine-learning algorithm, clustering algorithms, to study wind pressures on buildings…”
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Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm Autor Moein, Mahmoudreza, Golkarieh, Alireza, Vlassis, Isabella, Saidi, Reza, Lioudis, Michael

“… An unsupervised machine learning algorithm was used to match recipients of KDPI 98-100% kidneys with recipients of KDPI 85-97…”
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An Unsupervised Machine Learning Algorithm for Attack and Anomaly Detection in IoT Sensors Autor Alangari, Someah

“…The development of IoT-based sensor systems, such as many control systems in industries, is essential, and sensors are essential for detecting chemical and…”
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Comparative Analysis of Outcomes in High KDPI Spectrum Kidney Transplants Using Unsupervised Machine Learning Algorithm Autor Moein, M., Golkarieh, A., Vlassis, I., Saidi, R., Lioudis, M.

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An unsupervised machine learning algorithm for in-situ defect-detection in laser powder-bed fusion Autor Taherkhani, Katayoon, Eischer, Christopher, Toyserkani, Ehsan

“… A Self-Organizing Map (SOM), an unsupervised machine learning algorithm, is thoroughly customized to classify disturbances in the light intensity signal, where the clustered disturbances are mapped with the geometrical feature…”
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Automatic classification of single-molecule charge transport data with an unsupervised machine-learning algorithm Autor Huang, Feifei, Li, Ruihao, Wang, Gan, Zheng, Jueting, Tang, Yongxiang, Liu, Junyang, Yang, Yang, Yao, Yuan, Shi, Jia, Hong, Wenjing

“…Single-molecule electrical characterization reveals the events occurring at the nanoscale, which provides guidelines for molecular materials and devices…”
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POS1021 UNSUPERVISED MACHINE-LEARNING ALGORITHM FOR THE IDENTIFICATION OF CLINICAL PHENOTYPES ACROSS PATIENTS INITIATING BELIMUMAB IN THE LUPUS ITALIAN REGISTRY (LIRE) OF THE ITALIAN SOCIETY FOR RHEUMATOLOGY Autor Gatto, M., Venerito, V., Rozza, D., Landolfi, G., Scirè, C. A., Sebastiani, G. D., Conti, F., Doria, A.

“…Background:Stratification of patients affected with systemic autoimmune diseases according to clinical and endotypic features may provide valuable insights to…”
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Development of an unsupervised machine learning algorithm for the prognostication of walking ability in spinal cord injury patients Autor DeVries, Zachary, Hoda, Mohamad, Rivers, Carly S, Maher, Audrey, Wai, Eugene, Moravek, Dita, Stratton, Alexandra, Kingwell, Stephen, Fallah, Nader, Paquet, Jérôme, Phan, Philippe

“…Traumatic spinal cord injury can have a dramatic effect on a patient's life. The degree of neurologic recovery greatly influences a patient's treatment and…”
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Detection of EEG burst-suppression in neurocritical care patients using an unsupervised machine learning algorithm Autor Narula, G., Haeberlin, M., Balsiger, J., Strässle, C., Imbach, L.L., Keller, E.

“…•A novel burst suppression detection algorithm that doesn’t require annotated data.•The algorithm adapts to each patient, is fast and provides confidence…”
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A novel unsupervised machine learning algorithm for automatic Alfvénic activity detection in the TJ-II stellarator Autor Zapata-Cornejo, E.d.D., Zarzoso, D., Pinches, S.D., Bustos, A., Cappa, A., Ascasibar, E.

“…A novel sparse encoding algorithm is developed to detect and study plasma instabilities automatically. This algorithm, called Elastic Random Mode…”
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Discovery of distinct cancer cachexia phenotypes using an unsupervised machine-learning algorithm Autor Wu, Hao-Fan, Yan, Jiang-Peng, Wu, Qian, Yu, Zhen, Xu, Hong-Xia, Song, Chun-Hua, Guo, Zeng-Qing, Li, Wei, Xiang, Yan-Jun, Xu, Zhe, Luo, Jie, Cheng, Shu-Qun, Zhang, Feng-Min, Shi, Han-Ping, Zhuang, Cheng-Le

“…•This is the first establishment of a machine learning-based model for stratifying cancer cachexia.•Our model performed better than the previous method in…”
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AutoDetect-mNP: An Unsupervised Machine Learning Algorithm for Automated Analysis of Transmission Electron Microscope Images of Metal Nanoparticles Autor Wang, Xingzhi, Li, Jie, Ha, Hyun Dong, Dahl, Jakob C., Ondry, Justin C., Moreno-Hernandez, Ivan, Head-Gordon, Teresa, Alivisatos, A. Paul

“…The synthesis quality of artificial inorganic nanocrystals is most often assessed by transmission electron microscopy (TEM) for which high-throughput advances…”
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Analysis of the mandibular canal course using unsupervised machine learning algorithm Autor Kim, Young Hyun, Jeon, Kug Jin, Lee, Chena, Choi, Yoon Joo, Jung, Hoi-In, Han, Sang-Sun

“…Anatomical structure classification is necessary task in medical field, but the inevitable variability of interpretation among experts makes reliable…”
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A novel method for predicting ecological interactions with an unsupervised machine learning algorithm Autor Adhurya, Sagar, Park, Young‐Seuk

“…), an unsupervised machine learning algorithm. The SOM learns from the input interaction matrix by grouping the nodes into output layers based on their interactions…”
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Solar Flare Predictive Features Derived from Polarity Inversion Line Masks in Active Regions Using an Unsupervised Machine Learning Algorithm Autor Wang, Jingjing, Zhang, Yuhang, Hess Webber, Shea A., Liu, Siqing, Meng, Xuejie, Wang, Tieyan

“… In this study, an unsupervised machine-learning algorithm, Kernel Principle Component Analysis (KPCA…”
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Computationally-Affordable Unsupervised Machine Learning Algorithm to Identify the Level of Distress Severity in Pavement Functional Performance Autor Guo, Nanning, You, Lingyun, Long, Zhengwu, Lv, Songtao, Diab, Aboelkasim

“…Pavements continually experience various types of distresses that are manifested in the form of defects that will eventually lead to the pavement's failure…”
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Identification of Single Spectral Lines in Large Spectroscopic Surveys Using UMLAUT: an Unsupervised Machine-learning Algorithm Based on Unbiased Topology Autor Baronchelli, I., Scarlata, C. M., Rodríguez-Muñoz, L., Bonato, M., Morselli, L., Vaccari, M., Carraro, R., Barrufet, L., Henry, A., Mehta, V., Rodighiero, G., Baruffolo, A., Bagley, M., Battisti, A., Colbert, J., Dai, Y. S., De Pascale, M., Dickinson, H., Malkan, M., Mancini, C., Rafelski, M., Teplitz, H. I.

“… We developed a freely available unsupervised machine-learning algorithm based on unbiased topology (UMLAUT…”
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Recreation of the periodic table with an unsupervised machine learning algorithm Autor Kusaba, Minoru, Liu, Chang, Koyama, Yukinori, Terakura, Kiyoyuki, Yoshida, Ryo

“… To achieve this goal, we developed a periodic table generator (PTG). The PTG is an unsupervised machine learning algorithm based on the generative topographic mapping…”
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Feature Identification With a Heuristic Algorithm and an Unsupervised Machine Learning Algorithm for Prior Knowledge of Gait Events Autor Donahue, Seth R., Hahn, Michael E.

“…The purpose of this study was to compare a heuristic feature identification algorithm with output from the Beta Process Auto Regressive Hidden Markov Model…”
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Designing an Optimal GNSS Receiver Network for Space Weather Studies Using Unsupervised Machine Learning Algorithm Autor Dashora, N., Harsha, P. Babu Sree

“…Ionospheric maps from an optimal GNSS (global navigation satellite system) receiver network may lead to better understanding and prediction of the equatorial…”
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