Standard classifier for high outputs in the fine to medium-fine separation range of d97 = 10 - 150 µm. High fines yield at low energy consumption. Ventoplex C Air Classifier. To the machine Circuit-air classifier for high throughputs. Fineness range approx. d97 = 32 µm - …

A new threshold-based online sequential learning algorithm is proposed for high speed and streaming data classification of multi-label problems. The proposed …

A hardware accelerator or a classifier has been proposed here using a modified version of the HyperCuts packet classification algorithm. A new pre-cutting process has been implemented to reduce the memory size to fit in an FPGA. This classifier can classify packets with high speed and with a power consumption factor of less than 3W.

bust classifier that achieves 93.1% accurate classification of handwriting digits and 93.8% accuracy in classifying both the digit and its polarization state. This approach could enable compact, high-speed, and low-power image and information processing systems for a wide range of applications in machine vision and artificial intelligence.

We also propose a quadratic classifier after feature selection by using both the differences of mean vectors and covariance matrices. We discuss the performance of the classifiers in numerical simulations and actual data analyzes. Finally, we give concluding remarks about the choice of the classifiers for high-dimensional, non …

A new threshold-based online sequential learning algorithm is proposed for high speed and streaming data classification of multi-label problems. The proposed …

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End-to-end design is used to co-optimize the optical and digital systems, resulting in a robust classifier that achieves 93.1% accurate classification of handwriting digits and 93.8% accuracy in classifying both the digit and its polarization state. This approach could enable compact, high-speed, and low-power image and information …

A meta-optic–based neural network accelerator that can off-load computationally expensive convolution operations into high-speed and low-power optics and result in a robust classifier that achieves 93.1% accurate classification of handwriting digits and 93.8% accuracy in classifying both the digit and its polarization state. Rapid …

The proposed method uses an ensemble-based noise data filtering model using the voting results of 6 classifiers (decision tree, random forest, support vector machine, naive Bayes, k-nearest neighbors, and logistic regression) to reflect the distribution and various environmental characteristics of datasets. ... we propose a high …

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We develop classifiers that yield perfect classification under fairly general con-ditions in high dimension, low sample size (HDLSS) settings, where the sample size n remains …

The performance of an air classifier is evaluated by drawing the "actual efficiency curve" or "Tromp curve" that explains what portion of the material in the feed subjects to the underflow or overflow streams at a given size fraction [7], [14].The x-axis of the curve denotes to particle size and the y-axis denotes to the probability for being …

Discovering high quality answers in community question answering archives using a hierarchy of classifiers ... an analysis of answer quality and answer speed in community question–answering sites ... dataset (i.e., Stack Exchange) composed of 3,081,834 question-answer pairs. The QA system adopts a classifier-retriever …

These intelligent classifiers improved the efficiency, speed, and accuracy of signal processing-based procedures by detecting HIFs without the use of threshold settings. ... A small threshold will decrease the accuracy of the system and a high value will reduce the detection speed. The method effectively detects the presence of an HIF. …

In this paper, a high-speed online neural network classifier based on extreme learning machines for multi-label classification is proposed. In multi-label classification, each of the input data ...

View a PDF of the paper titled Meta-optic Accelerators for Object Classifiers, by Hanyu Zheng and 5 other authors. ... a meta-optic based neural network accelerator that can off-load computationally expensive convolution operations into high-speed and low-power optics. In this architecture, metasurfaces enable both spatial …

High Efficiency Centrifugal Air Classifiers AVEKA CCE Technologies, LLC The AVEKA CCE Centrifugal Air Classifier is designed to separate fine particles in ... Rotor Speed rpm 700-7000 400-4000 360-3600 Primary Air Flow, scfm to 70 to 250 to 800 Max. Operation Vac, In. Hg 12 12 12

High-speed processing of streaming data for multi-label classification is highly essential for real-world real-time applications. The proposed work exploits the high-speed na-ture of …

End-to-end design is used to co-optimize the optical and digital systems, resulting in a robust classifier that achieves 93.1% accurate classification of handwriting digits and 93.8% accuracy in classifying both the digit and its polarization state. This approach could enable compact, high-speed, and low-power image and information processing ...

A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accuracy in classifying handwritten digits.

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DOI: 10.1364/OFC.2018.W2A.43 Corpus ID: 49194306; Convolutional Neural Network based Nonlinear Classifier for 112-Gbps High Speed Optical Link @article{Chuang2018ConvolutionalNN, title={Convolutional Neural Network based Nonlinear Classifier for 112-Gbps High Speed Optical Link}, author={Chun-Yen …

Discovering high quality answers in community question answering archives using a hierarchy of classifiers ... So fast so good: an analysis of answer quality and answer speed in community question-answering sites. Journal of the American Society for Information Science and Technology. ... X. Li, D. Roth, Learning question …

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View ALL our Spiral Classifiers Models. In Mineral Processing, the SPIRAL Classifier on the other hand is rotated through the ore. It doesn't lift out of the slurry but is revolved through it. The direction of rotation causes the slurry to be pulled up the inclined bed of the classifier in much the same manner as the rakes do.

A Study on High-Speed Outlier Detection Method of Network Abnormal Behavior Data Using Heterogeneous Multiple Classifiers January 2022 Applied Sciences 12(3):1011

Lesson X of "ASL Classifiers" A-Open. Objects in specified locations: a house or building on a street, a statue or vase on a table, a lamp on a desk. B-(flat_hand) § Smooth, flat surfaces: road or runway; wall, hallway, ceiling, floor, shelf § Flat mobile surfaces: surfboard, skateboard, snowboard, people mover (moving sidewalk) § Inanimate objects …

The proposed high speed multi-label classifier is applied to six benchmark datasets comprising of different application areas such as multi-media, text and biology. …