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Active targeted delivery of small molecule drugs is becoming increasingly important in personalized therapies, especially in cancer, brain disorders, and a wide variety of other diseases. However, effective means of spatial targeting and delivering high drug payloads in vivo are still lacking. Focused ultrasound combined with superheated phase-shift nanodroplets, which vaporize into ...

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7 Time Series Datasets for Machine Learning

 · Machine learning can be applied to time series datasets. These are problems where a numeric or categorical value must be predicted, but the rows of data are ordered by time. A problem when getting started in time series forecasting with machine learning is finding ...

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Comparison of skin disease prediction by feature selection …

 · Different machine learning techniques can be applied to identify classes of skin disease. Herein, we have applied machine learning algorithms to categorize classes of skin disease using ensemble techniques, and then a feature selection method is utilized to compare the results obtained.

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A support vector machine algorithm trained a model to discern the triboelectric sensor information and recognize objects of various shapes and sizes with high accuracy (up to 98.1%). Moreover, an object recognition system and unmanned warehouse system were demonstrated leveraging machine-learning approaches, which provides a feasible solution for visual recognition in a dark environment for ...

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 · L. Brosseau and R. B. Ann, N95 Respirators and Surgical Masks (Centers for Disease Control and Prevention, 2009). N95 masks are meant for one-time usage for two reasons: (1) potential contamination and (2) rapid degradation of their filtration efficiency with use. However, the recent COVID-19 pandemic has resulted in a serious shortage of these ...

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Hydroxyapatite and Other Calcium Orthophosphates: …

Table of Contents Preface PART I. Calcium Orthophosphate (CaPO4)-Based Bioceramics Chapter 1. Introduction Chapter 2. General Knowledge and Definitions Chapter 3. Bioceramics of CaPO4 Chapter 4. The Major Properties Chapter 5. Biomedical Applications

FOSSASIA Summit 2018

FOSSASIA Summit 2018 Schedule The FOSSASIA developer network is one of the largest communities in the Open Source world today and we are proud to have a positive impact and improving people''s lives with Open Technologies.

‪Satyaprakash Pandey‬

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Gaussian Processes for Machine Learning (Adaptive …

Kpotufe S and Verma N (2017) Time-accuracy tradeoffs in kernel prediction, The Journal of Machine Learning Research, 18:1, (1443-1471), Online publication date: 1-Jan-2017. Dalibard V, Schaarschmidt M and Yoneki E BOAT Proceedings of the 26th International Conference on World Wide Web, (479-488)

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Energies | Free Full-Text | Multi-Label Learning for …

Verma, S.; Singh, S.; Majumdar, A. Multi Label Restricted Boltzmann Machine for Non-intrusive Load Monitoring. In Proceedings of the ICASSP 2019—2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK]

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Vol. 12 No. 6 (2021) | Turkish Journal of Computer and …

The Influence of e-Content on Academic Performance and Retention Ability in Learning Mathematics among High School Students - Solomon Four Equivalent Group of Experimental Design. Prabakaran B, Saravanakumar AR. 2360-2369.

Application of Radiosensitizers in Cancer Radiotherapy | IJN …

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Natural Language Processing with Python | Guide books

Abstract. This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you''ll learn how to write Python programs that work with large collections of unstructured text.

Training an acoustic model for a speech-to-text engine …

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