Article on The effects on classifier performance of 2D discrete wavelet transform analysis and whale optimization algorithm for recognition of power quality disturbances, published in Cognitive Systems Research 75 on 2022-05-15 by Seçkin Karasu+1. Read the article The effects on classifier performance of 2D discrete …

The LSF series wet hydraulic classifier is the most advanced fine particle materials classification equipment (based on gravity separation) with significant advantages in …

Find out all of the information about the NETZSCH Grinding & Dispersing product: centrifugal classifier CFS/HD-S. Contact a supplier or the parent company directly to …

Discriminating marsh vegetation is critical for the rapid assessment and management of wetlands. The study area, Honghe National Nature Reserve (HNNR), a typical freshwater wetland, is located in Northeast China. This study optimized the parameters (mtry and ntrees) of an object-based random forest (RF) algorithm to improve the applicability of …

Figure 4. Accuracy Metrics for All Methods; PISA Data Examination. Note. GLMM = generalized linear mixed model; LR = logistic regression; MERF = mixed effects random forest; RF = random forest; PISA = United States Program in International Student Assessment. - "Fixed Effects or Mixed Effects Classifiers? Evidence From Simulated …

By testing the integrated classifiers on a dataset with chemicals and their toxicity effects in Accelrys Toxicity database and non-toxic chemicals with their performance evaluated by jackknife test, an optimal integrated classifier was selected as the proposed classifier, which provided quite high p …

Bearing of the classifier shaft is permanently grease sealed or oil lubricated for hot gas applications. Extremely sharp separation for improved fines extraction. Highest …

This study investigates the effect of class imbalance in training data when developing neural network classifiers for computer-aided medical diagnosis.

Work flow of extraction of urban impervious surface from GF-1 imagery based on one-class classifiers In our experiments, we completed remote sensing segmentation and feature extraction by the ...

The classifiers considered were the Linear Discriminant Analysis (LDA) and the KNN classifier. The first one is a parametric classifier whereas the second one is a nonparametric classifier.

In this paper, we argue that singing voice (song) is more emotional than speech. We evaluate different features sets, feature types, and classifiers on both song and speech emotion recognition. Three feature sets: GeMAPS, pyAudioAnalysis, and LibROSA; two feature types, low-level descriptors and high-level statistical functions; and four …

Ballistic missile defense systems require accurate target recognition technology. Effective feature extraction is crucial for this purpose. The deep convolutional neural network (CNN) has proven to be an effective method for recognizing high-resolution range profiles (HRRPs) of ballistic targets. It excels in perceiving local features and …

Objectives To evaluate the impact of a genomic classifier (GC) test for predicting metastasis risk after radical prostatectomy (RP) on urologists' decision-making about adjuvant treatment of patien...

The High-efficiency Fine Classifier CFS/HD-S (High Dispersion) works very efficiently due to its closely defined sharpness of cut and its very specific product flow. Mixing of the …

To address the problem of NLP classifiers learning spurious correlations between training features and target labels, a common approach is to make the model's predictions invariant to these features. However, this can be counter-productive when the features have a non-zero causal effect on the target label and thus are important for …

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Laboratory high efficiency classifier with vertical shaft. Classifier housing with hinged door provides very good access for fast and easy cleaning and maintenance. Spiral …

Purpose: We propose three support vector machine (SVM) classifiers, using pre-and post-contrast T2 fluid-attenuated inversion recovery (FLAIR) subtraction and/or pre-and post-contrast T1WI subtraction, to differentiate treatment-related effects (TRE) from glioma recurrence. Materials and methods: Fifty-six postoperative high …

For ultrafine classifying operations in inline mode of all types of fine to medium-fine products, such as acrylate, epoxy-polyester, gypsum, plastics, petroleum coke, …

Symptoms. High cholesterol has no symptoms. A blood test is the only way to detect if you have it. When to see a doctor. According to the National Heart, Lung, and Blood Institute (NHLBI), a person's first cholesterol screening should occur between the ages of 9 and 11, and then be repeated every five years after that.

High quality education at the best value for money in Dubai . Read More. Welcome to GEMS Founders School - Al Barsha Offering the National Curriculum for England. ... GFS proves to be an incredible community accessible to everyone with young children. We became a part of it during the challenging days of the COVID-19 pandemic when …

A higher feed load of 450 g caused a high level of impingement of particles on to the rotating classifier wheel, causing decreased classifier wheel efficiency, and this resulted in a less well-controlled micronization process. Thus, aspect ratio and pellips were sensitive to the changes in performance of the classifier wheel.

Applying T-classifier, binary classifiers, upon high-throughput TCR sequencing output to identify cytomegalovirus exposure history

Recently, Aoshima and Yata (Citation 2015b) provided a general theory of quadratic classifiers for high-dimensional data in non-sparse settings. In this article, we develop the geometric classifier by to multiclass classification when k (≥2). In Section 2, we show the consistency property and the asymptotic normality of the geometric ...

The High-efficiency Fine Classifier type CFS/HD-S proves that effective separation results are easy to achieve with just one classifier wheel. A significant improvement in …

In this research, the discussions of the simulation results were divided into two major parts. Firstly, the results discussions focus on the effect of classifier blade length on coal fineness output; while the second part of the results discussions emphasizes on the effect of classifier blade opening angle on coal fineness output. 3.2.1.

There is an increasing body of evidence suggesting that exact nearest neighbour search in high-dimensional spaces is affected by the curse of dimensionality at a fundamental level. Does it necessarily mean that the same is true for k nearest neighbours based learning algorithms such as the k-NN classifier? We analyse this question at a …

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%0 Conference Proceedings %T Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers %A Bansal, Parikshit %A Sharma, Amit %Y Rogers, Anna %Y Boyd-Graber, Jordan %Y Okazaki, Naoaki %S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long …