Materias dentro de su búsqueda.
Mostrando 5,121 - 5,140 Resultados de 6,142 Para Buscar '"MIT"', tiempo de consulta: 0.20s Limitar resultados
  1. 5121
    “…The Fresnel Zone Plate is used to design the new lens-antenna and is simulated by the MIT open-source tool called Meep. The final design showed, with only two simple fabrication technology processing steps (standard optical lithography) that the lens-antenna can be monolithically integrated with the THz nanophotomixer. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Design and implementation of a terahertz lens-antenna for a photonic integrated circuits based THz systems
  2. 5122
    por Maywald, Jörg, Pergande, Bianka
    Publicado 2022
    “…Obwohl Kinder in besonderer Weise von den Einschränkungen aufgrund der COVID-19-Pandemie betroffen sind, wurden ihre Rechte in der Krise nur mit großer Verzögerung und sehr unvollständig berücksichtigt. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Missachtet und abgehängt: Kinder und Kinderrechte während der COVID-19-Pandemie
  3. 5123
    “…Finally, the BR-NiB code for performing the automated optimization is provided free-of-charge under MIT license via GitHub (https://github.com/jvlehtonen/brutenib) for boosting the success rates of docking-based virtual screening campaigns.…”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Optimization of Cavity-Based Negative Images to Boost Docking Enrichment in Virtual Screening
  4. 5124
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics
  5. 5125
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A regression framework for brain network distance metrics
  6. 5126
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Adaptive rewiring in nonuniform coupled oscillators
  7. 5127
    “…For the interpretation of 12 heartbeat types in the MIT-BIH dataset, the average accuracy is 99.60%, the average sensitivity is 97.56%, and the average specificity is 99.78%. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Beat-Level Interpretation of Intra-Patient Paradigm Based on Object Detection
  8. 5128
    “…This study's primary purpose is to calculate the R-R interval and analyze the blockage utilising simple algorithms and approaches that give high accuracy. The MIT-BIH dataset may be used to rebuild the data. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    An Innovative Machine Learning Approach for Classifying ECG Signals in Healthcare Devices
  9. 5129
    “…As a high-capacity and flexible model, DeepGaze III captures many relevant patterns in the human scanpath data, setting a new state of the art in the MIT300 dataset and thereby providing insight into how much information in scanpaths across observers exists in the first place. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    DeepGaze III: Modeling free-viewing human scanpaths with deep learning
  10. 5130
    “…An artificial neural network (ANN) was trained using the MIT-BIH database with a training accuracy of 93.9 % and an R(2) value = 0.876. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning
  11. 5131
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    NeuMapper: A scalable computational framework for multiscale exploration of the brain’s dynamical organization
  12. 5132
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    More than the sum of its parts: Merging network psychometrics and network neuroscience with application in autism
  13. 5133
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A mixed-modeling framework for whole-brain dynamic network analysis
  14. 5134
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies
  15. 5135
    por Wu, Jin, Sun, Le, Peng, Dandan, Siuly, Siuly
    Publicado 2022
    “…The accuracies on the two datasets (MIT-BIH-AR and INCART) are 98.4% and 98.1%, respectively. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Micro Neural Network for Healthcare Sensor Data Stream Classification in Sustainable and Smart Cities
  16. 5136
    “…It is characterized by translocations involving either TFE3 (TFE3-tRCC), TFEB (TFEB-tRCC) or MITF, all members of the MIT family (microphthalmia-associated transcriptional factor). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    MiTF/TFE Translocation Renal Cell Carcinomas: From Clinical Entities to Molecular Insights
  17. 5137
    “…Clear cell renal cell carcinoma (ccRCC), the major histopathological subtype of renal cancer, is sensitive to ferroptosis. MIT-domain containing protein 1 (MITD1) has been reported to play an important role in hepatocellular carcinoma, while it remains unclear whether MITD1 is involved in ccRCC. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    MITD1 Deficiency Suppresses Clear Cell Renal Cell Carcinoma Growth and Migration by Inducing Ferroptosis through the TAZ/SLC7A11 Pathway
  18. 5138
    “…Our experimental results show that the network training of the proposed method requires less equipment and training time, and this method can effectively distinguish eight types of heartbeats in the MIT-BIH arrhythmia database, with a classification accuracy of 99.54%. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Arrhythmia Classification Algorithm Based on a Two-Dimensional Image and Modified EfficientNet
  19. 5139
    “…We employed three well-known supervised machine learning models: support vector machine (SVM), k-nearest neighbors (KNN), and random forest (RF), and tested the performance and robustness of these techniques in classifying normal (NOR) and myocardial infarction (MI) using real ECG records from the PTB database after normalization and segmentation of the data, with a suggested inter-patient paradigm separation as well as noise from the MIT-BIH noise stress test database (NSTDB). Finally, we measured four metrics: accuracy, precision, recall, and F1-score. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Robustness Evaluation of Machine Learning Algorithms for ECG Myocardial Infarction Detection
  20. 5140
    “…Then, our model is evaluated on an MIT-BIH arrhythmia dataset and CMUH dataset, with an accuracy, precision, recall, F1-score, and AUC of 0.9673, 0.9854, 0.9486, 0.9666, and 0.9672 and of 0.9358, 0.9816, 0.8882, 0.9325, and 0.9358, respectively. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Abnormal ECG detection based on an adversarial autoencoder
Herramientas de búsqueda: RSS