Machine Learning-Based Pipeline for High Accuracy Bioparticle Sizing

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A High-accuracy, Zero-crossing-based Pipeline ADC

Technology scaling poses challenges in designing analog circuits because of the decrease in intrinsic gain and reduced swing. An alternative to using highgain amplifiers in the implementation of switched capacitor circuits has been proposed [1] that replaces the amplifier with a current source and a comparator. The new comparator-based switch capacitor (CBSC) and zero-crossing-based circuit (ZC...

متن کامل

High Accuracy Signal Recognition Algorithm Based on Machine Learning for Heterogeneous Cognitive Wireless Networks

—Heterogeneous Wireless Networks (HWNs), including several different wireless technologies, are recent solutions that provide seamless communication for mobile users. However, with the development of various wireless networks, the spectrum detection of cognitive networks and terminals becomes more complicated, which decreases the detection performance. The accuracy and efficiency of the spectr...

متن کامل

Machine Learning to Improve a Document Pipeline

We describe a collaborative project between our research group and a small west-coast business to apply machine learning techniques to a document processing task. This experience suggests two key points: (1) even as machine learning and artificial intelligence matures, there are many business applications that have not yet exploited these techniques; and (2) academically well-established machin...

متن کامل

Voting based Extreme Learning Machine with Accuracy based ensemble Pruning

Extreme Learning Machine is a fast single layer feed forward neural network for real valued classification. It suffers from the problem of instability and over fitting. Voting based Extreme Learning Machine, VELM reduces this performance variation in Extreme Learning Machine by employing majority voting based ensembling technique. VELM improves the performance of ELM at the cost of increased re...

متن کامل

Achieving High-Accuracy Text-to-Speech with Machine Learning

In 1987, Sejnowski and Rosenberg developed their famous NETtalk system for English text-to-speech. This chapter describes a machine learning approach to text-to-speech that builds upon and extends the initial NETtalk work. Among the many extensions to the NETtalk system were the following: a diierent learning algorithm, a wider input \window", error-correcting output coding, a right-to-left sca...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Micromachines

سال: 2020

ISSN: 2072-666X

DOI: 10.3390/mi11121084