Výsledky vyhledávání - "Unsupervised learning algorithm"

Comprehensive Performance Evaluation on the Listed Companies of the Traditional Chinese Medicine Industry Based on Unsupervised Learning Algorithm Autor Yi, Xiao, Shu, Wang

“… This article selects the financial statements of 58 listed companies with main business in Chinese medicine in 2022, and uses factor analysis in unsupervised learning algorithms to construct…”
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Automatic subject-specific spatiotemporal feature selection for subject-independent affective BCI Autor Almarri, Badar, Rajasekaran, Sanguthevar, Huang, Chun-Hsi

“… Conventionally, inter-subject variations are dealt with by avoiding the sources of variation (e.g., outliers) or turning the problem into a subject-deponent…”
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Dietary Patterns Associated with Diabetes in an Older Population from Southern Italy Using an Unsupervised Learning Approach Autor Tatoli, Rossella, Lampignano, Luisa, Bortone, Ilaria, Donghia, Rossella, Castellana, Fabio, Zupo, Roberta, Tirelli, Sarah, De Nucci, Sara, Sila, Annamaria, Natuzzi, Annalidia, Lozupone, Madia, Griseta, Chiara, Sciarra, Sabrina, Aresta, Simona, De Pergola, Giovanni, Sorino, Paolo, Lofù, Domenico, Panza, Francesco, Di Noia, Tommaso, Sardone, Rodolfo

“… In this cross-sectional study conducted on older adults from Southern Italy, eating habits in the “Diabetic” and “Not Diabetic” groups were assessed with FFQ, and dietary patterns were derived using an unsupervised learning algorithm…”
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Locally linear embedding (LLE) for MRI based Alzheimer's disease classification Autor Liu, Xin, Tosun, Duygu, Weiner, Michael W., Schuff, Norbert

“… Specifically, we used the unsupervised learning algorithm of local linear embedding (LLE) to transform multivariate MRI data of regional brain volume and cortical thickness…”
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Resource heterogeneity leads to unjust effort distribution in climate change mitigation Autor Vicens, Julian, Bueno-Guerra, Nereida, Gutiérrez-Roig, Mario, Gracia-Lázaro, Carlos, Gómez-Gardeñes, Jesús, Perelló, Josep, Sánchez, Angel, Moreno, Yamir, Duch, Jordi

“… An unsupervised learning algorithm classified the subjects according to their individual behavior, finding the poorest…”
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Hand Sign Classification Techniques Using Supervised And Unsupervised Learning Algorithms Autor Harshitha, J L V Sri, Saranya, N, Sruthi, Yekkitilli, Srithar, S, Chandra, J Vijaya

“…Gesture recognition is becoming a sore subject in computer vision captivating the idea of social interaction not only between humans but also create ergonomic systems that control devices ranging…”
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Blind modal identification of output-only structures in time-domain based on complexity pursuit Autor Yang, Yongchao, Nagarajaiah, Satish

“… As a powerful unsupervised learning algorithm, blind source separation (BSS) technique is able to recover the hidden sources and the unknown mixing process using only the observed mixtures…”
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Can You Do That Again? Time Series Consolidation as a Robust Method of Tailoring Gesture Recognition to Individual Users Autor Dankovich, Louis J., Vaughn-Cooke, Monifa, Bergbreiter, Sarah

“… Two pipelines were explored. In FILT a novel two-stage algorithm was introduced which uses an unsupervised learning algorithm to find samples representing gesture…”
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Evaluation of Quantitative Decision‐Making for Rhythm Management of Atrial Fibrillation Using Tabular Q‐Learning Autor Barrett, Christopher D., Suzuki, Yuto, Hussein, Sundos, Garg, Lohit, Tumolo, Alexis, Sandhu, Amneet, West, John J., Zipse, Matthew, Aleong, Ryan, Varosy, Paul, Tzou, Wendy S., Banaei‐Kashani, Farnoush, Rosenberg, Michael A.

“…Background Rhythm management is a complex decision for patients with atrial fibrillation (AF). Although clinical trials have identified subsets of patients who…”
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Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface Autor Gandhi, Vaibhav, Prasad, Girijesh, Coyle, Damien, Behera, Laxmidhar, McGinnity, Thomas Martin

“… A robust unsupervised learning algorithm enables the RQNN to effectively capture the statistical behavior of the input signal and facilitates the estimation of signal embedded in noise with unknown characteristics…”
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Segmentation of Tumor and Edema Along With Healthy Tissues of Brain Using Wavelets and Neural Networks Autor Demirhan, Ayse, Toru, Mustafa, Guler, Inan

“… for treatment planning. We used T1, T2, and FLAIR MR images of 20 subjects suffering from glial tumor…”
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Multimodal subtypes identified in Alzheimer’s Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inference Autor Estarellas, Mar, Oxtoby, Neil P, Schott, Jonathan M, Alexander, Daniel C, Young, Alexandra L

“… in different subgroups. Subtype and Stage Inference is an unsupervised learning algorithm that disentangles the phenotypic heterogeneity and temporal progression of disease biomarkers, providing disease insight…”
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SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm Autor Saif-Ur-Rehman, Muhammad, Ali, Omair, Dyck, Susanne, Lienkämper, Robin, Metzler, Marita, Parpaley, Yaroslav, Wellmer, Jörg, Liu, Charles, Lee, Brian, Kellis, Spencer, Andersen, Richard, Iossifidis, Ioannis, Glasmachers, Tobias, Klaes, Christian

“… Current approaches lack generalization because the values of hyperparameters are not fixed, even for multiple recording sessions of the same subject…”
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Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning Autor Liu, Dong, Sun, Chengjian, Yang, Chenyang, Hanzo, Lajos

“…Resource allocation and transceivers in wireless networks are usually designed by solving optimization problems subject to specific constraints, which can be formulated as variable or functional optimization…”
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Comparative Study on the Effect of Various Aerobic Exercises on College Students’ Weight Loss Based on Deep Learning Analysis Autor Li, Fanghui, Huang, Yongtian, Luo, Yijun, He, Jing

“… It shows that aerobic exercise plays an important role in improving people’s energy metabolism. Based on the deep unsupervised learning algorithm, this paper studies the effect of a variety of aerobic exercises on college students…”
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RC6D: An RFID and CV Fusion System for Real-time 6D Object Pose Estimation Autor Zhang, Bojun, Li, Mengning, Xie, Xin, Fu, Luoyi, Tong, Xinyu, Liu, Xiulong

“…This paper studies the problem of 6D pose estimation, which is practically important in various application scenarios such as robotic-based object grasping,…”
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Motor Imagery BCI Classification with Frequency and Time-Frequency Features by Using Different Dimensions of the Feature Space Using Autoencoders Autor Kaya, Esra, Saritas, Ismail

“…). From extracted 900 features, feature space dimension reduction was realized using Autoencoder, an unsupervised learning algorithm…”
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Treatment profiles and trajectories surrounding the diagnosis of major depressive disorder: a research protocol for a Danish register-based study. [version 1; peer review: 1 approved] Autor Herold Jeberg, Pernille, Overgaard Nielsen, Anne Marije Christina, Osler, Merete, Kim Wirum-Andersen, Marie, Jacobsen, Ramune, Almarsdóttir, Anna Birna, Jarlov Jensen, Kristoffer, Petersen, Janne

“… The disorder is subject to heterogeneity reflected by diverse clinical phenotypes and assorted responses to treatment…”
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Unsupervised Crowd-Assisted Learning Enabling Location-Aware Facilities Autor Sikeridis, Dimitrios, Rimal, Bhaskar Prasad, Papapanagiotou, Ioannis, Devetsikiotis, Michael

“…The accelerated evolution of Internet of Things (IoT) architectures and their incorporation in vehicles, buildings, or cities provide the ideal environment for…”
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Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks Autor Nikolaidis, Stefanos, Ramakrishnan, Ramya, Keren Gu, Shah, Julie

“… First, the demonstrated action sequences are clustered into different human types using an unsupervised learning algorithm…”
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