Its statistical and distributed data representation leads to highly-efficient classifiers with inherent robustness to representation errors. A digital, 28nm CMOS chip, representing the first programmable HDC biosignal processor, achieves 25.6 nJ/pred. on a leading EMG gesture recognition dataset.
The fluidized bed jet mill consists of a grinding unit which uses high pressure gas, and a variable rotary classifier for selection of particle size in the milled product, all in a single compact and versatile machine. The high impact speed and accelerated air flow from the nozzles produces a high collision speed and very efficient grinding.
In this paper, we present a generic, query-efficient black-box attack against API call-based machine learning malware classifiers. We generate adversarial examples by modifying the malware's API call sequences and non-sequential features (printable strings), and these adversarial examples will be misclassified by the target malware …
We observe that training the custom denoiser directly using the existing techniques on limited samples yields poor certification. To overcome this, our proposed approach (DE-CROP) 1 generates class-boundary and interpolated samples corresponding to each training sample, ensuring high diversity in the feature space of the pretrained classifier ...
'Decoupled Classifiers for Fair and Efficient Machine Learning' by Cynthia Dwork, Nicole Immorlica, Adam Tauman Kalai, & Max Leiserson (2018)
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Recent years have witnessed successful use of tracking-by-detection methods, with a number of promising results being achieved. Most of these algorithms use a sliding window to collect samples and then employ these samples to train and update the classifiers. They also use an updated classifier to establish the appearance model and …
How many kilometers per liter will a car obtain if its engine is 25% efficient and it encounters an average retarding force of 500 N at highway speed? Assume that the energy content of gasoline is 40 MJ/liter.
A spiral classifier is a mineral processing equipment which receives an ore slurry input and performs a gravity separation process between the solids particles of ore and the water.
In high-dimensional data, many of the features are either irrelevant to the machine learning task or are redundant. These situations lead to two problems, firstly overfitting and secondly high computational overhead. The paper proposes a feature selection method to identify the relevant subset of features for the machine-learning task …
Sprial classifier - Download as a PDF or view online for free. Sprial classifier - Download as a PDF or view online for free ... and more efficient paid media campaigns. It's time to turn and embrace the machine to carve out a path for improving efficiency across your accounts with your new AI companions! ...
CACTUS: Dynamically Switchable Context-aware micro-Classifiers for Efficient IoT Inference Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang, Hui Guan, Deepak Ganesan
The results establish that the closed spiral is an efficient enhanced gravity classifier. It seems to have desirable scale-up qualities as evidenced by its response to …
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A resource efficient neural network based gas classifier using the 1.5-bit quantization of sensing channel difference as the feature extraction is proposed in this paper, which is designated for unattended electronic noses for long-term surveillance. The feature rate of the proposed method is as low as 48 bits per second (bps), significantly reducing the …
Spiral Classifier. In mineral processing, the Akins AKA spiral or screw Classifier has been successfully used for so many years that most mill operators are …
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The spiral classifier such as the Akins classifier consists of a semi-cylindrical trough (a trough that is semicircular in cross-section) inclined to the …
Traditional gravity classifiers that leverage differential settling velocities in the gravitational field are bulky and ineffective for particles less than 150 μ m.In this study, a newly introduced compact enhanced gravity Closed Spiral Classifier (CSC) is tested experimentally for the classification of slurries containing silica or iron ore fines.
A diode-end-pumped Tm:YLF laser, passively Q-switched (PQS) with a Cr:ZnS saturable absorber, generated 10 mJ, 29 ns-long pulses at 1.9 μm, corresponding to a peak power of 350kW. A PQS laser operated at a maximum pulse repetition frequency (PRF) of 1 kHz, generating an average power of 10 W. The demonstrated pulse energy and average …
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The Main Types and Application Field of Sprial Classifier: There are four types of classifiers, high type single and double spiral classifier, immersed single and double spiral classifier. Spiral classifier (Screw classifier) is widely used for distributing ore in the close circuit with ball mill. Advantages are simple structure, reliable ...
The Cross-Flow Classifier provides an efficient means of dewatering sands and concentrates or other granular material. A common application in this work is when …
The obtained results of research indicate a possibility of significant reduction of classifiers corrosion rate at the application of cathodic protection and of a few times extension of the period of spiral classifiers operation, which replacement generates substantial operating costs.
The spiral classifier is a mining machinery which is mainly used for separating and classifying of minerals after grinding. ... Advantage of Sprial Classifier. Simple structure and steady performance; ... 25.65: FG …
Whether in classification efficiency or product accuracy, spiral classifiers are better than hydrocyclones. A large part of the reason is that if the pressure of the …
This paper presents an energy-efficient and robust spiking neural network (SNN) classifier design for level-crossing analog-to-digital converter (LC-ADC) sampled electrocardiogram (ECG) signals. A quantization-aware training method is proposed for the fixed-point quantization stage of the hardware-aware training to achieve better classification …
Title: Building Efficient Universal Classifiers with Natural Language Inference. Authors: Moritz Laurer, Wouter van Atteveldt, Andreu Casas, Kasper Welbers. View a PDF of the paper titled Building Efficient Universal Classifiers with Natural Language Inference, by Moritz Laurer and 3 other authors.
Spiral Classifier In mineral processing, the Akins AKA spiral or screw Classifier has been successfully used for so many years that most mill operators are familiar with its principle and operation. This classifier embodies the simplest design, smallest number of wearing parts, and an absence of surge in the overflow. It separates …
This paper presents a new classifier architecture for decision tree ensembles (DTEs) based on lookup-tables. The classifier is integrated in an electrocardiogram processing system that detects atrial fibrillation (AF). It targets energy efficiency and achieves best in class performance for AF-detecting systems by a margin of one to two orders of …
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In this situation spiral classifiers are the most suitable equipment, either due to their better absorption of feed rate variations, or their capacity for coarser separations at low feed …
A typical spiral classifier is shown in Fig. 1.The geometry of a spiral is characterized by the length or number of turns, the diameter, the pitch and the shape of the trough (Burt, 1984).The spiral feed is a mixture of water and ground particles that is gravity fed at the top of the spiral.