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Raja Ram Mohan Roy , General Education , Advanced Theory , Liberal Arts Bangladesh ,

Deep Learning Takes 2D Material Microscopy Images Further

Microscopic images of 2D materials were processed via three deep-learning architectures for classification, segmentation, and detection. ....

Bhavna Kavetijul , Susha Cheriyedath , Bhavna Kaveti , D Semiconductors , Neural Network Models , Learning Takes , Material Microscopy Images Further , Image Credit , Advanced Theory , Deep Learning , Deep Learning Based Neural Network ,

Waning immunity and COVID-19 boosters modeled in digital town

The debate around COVID-19 boosters is highly nuanced, but a new computational model could help inform policy around such measures. ....

Alessandro Rizzo , Lorenzo Zino , Maurizio Porfiri , Sachit Butail , Tandon School Of Engineering , University Of Groningen , Northern Illinois University , Cattolica Del Sacro Cuore , Advanced Theory , New Rochelle ,

A statistical solution to processing very large datasets efficiently with memory limit

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IMAGE: Estimating the variance of the number of clusters and the sample size for which it is maximum can give us an estimate of the total number of clusters for the.
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Credit: Ryo Maezono from JAIST.
Ishikawa, Japan - Any high-performance computing should be able to handle a vast amount of data in a short amount of time an important aspect on which entire fields (data science, Big Data) are based. Usually, the first step to managing a large amount of data is to either classify it based on well-defined attributes or as is typical in machine learning cluster them into groups such that data points in the same group are more similar to one another than to those in another group. However, for an extremely large dataset, which can have trillions of sample points, it is tedious to even group data points into a single cluster without huge memory requirements. ....

Ryo Maezono , Keishu Utimula , University Of Tokyo , National Institute For Materials Science , Japan Advanced Institute Of Science , Big Data , Professor Ryo Maezono , Japan Advanced Institute , Advanced Theory , Information Science , National Institute , Materials Science , Chemistry Physics Materials Sciences , Mathematics Statistics , Technology Engineering Computer Science , பல்கலைக்கழகம் ஆஃப் டோக்கியோ , தேசிய நிறுவனம் க்கு பொருட்கள் அறிவியல் , பெரியது தகவல்கள் , தகவல் அறிவியல் , தேசிய நிறுவனம் , பொருட்கள் அறிவியல் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் , கணிதம் புள்ளிவிவரங்கள் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

New COVID-19 model shows little benefit in vaccinating high-risk individuals first

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BROOKLYN, New York, Tuesday, January 19, 2021 - The World Health Organization reports that as of January 19, 2021, there are approximately 94 million cases of COVID-19 globally, with over 2 million deaths. In the face of these numbers driven in part by an aggressive resurgence of the virus in the U.S. health authorities face a tenuous balancing act: how to enact policies to keep citizens safe while doing the least possible damage to quality of life and local economies, especially in smaller cities and towns, where short supply of intensive care units and tight budgets make the thin line between precautionary measures and normalcy even thinner. ....

New York , United States , New Rochelle , Westchester County , Alessandro Rizzo , Lorenzo Zino , Emanuele Caroppo , Jalil Hasanyan , Sachit Butail , Brandon Behring , Agnieszka Truszkowska , Maurizio Porfiri , World Health Organization , National Science Foundation , Institute Professor , Tandon School Of Engineering , Netherlands Organisation For Scientific Research , Southern Illinois University , European Research Council , University Of Groningen , Resolution Agent Based Modeling , Small Town , Advanced Theory , Zhong Ping Jiang , Cattolica Del Sacro Cuore , Turin Polytechnic ,