Figure 2 - uploaded by Isaack Adidas Kamanga
Content may be subject to copyright.
Source publication
The purpose of this study is to provide a systematic approach to address the industrial challenge of recognizing impeccable and defective gears by analyzing the spectrum of sound waves produced by the gears when in operation if attached to a testing circuit during sorting. This work classifies the gears into two classes, impeccable and defective cl...
Similar publications
To address the problem of low accuracy of fault information extracted from motor-bearing vibration signals, a feature extraction method based on Whale Optimization Algorithm (WOA)-Variable Modal Decomposition (VMD) energy entropy is proposed, and a modified WOA-Support Vector Machine (SVM) is used for fault diagnosis. Firstly, the optimal number of...
Emojis are generated from the news headlines of Malayalam language using Naive Bayes (NB) and Support Vector Machine(SVM) classifiers. The human brain processes visual data faster than text data. Assigning emoji to the text helps the people easily categorize the news based on the emotion without reading the entire sentence. Six different emojis are...
Medical imaging is a very important field for diagnosing the diseases from the analysis of x ray, computed tomography (CT) scan or other medical images. Computer aided diagnosis (CAD) helps to physicians to make the clinical decision about the diseases. The most important work in the CAD system to identify the diagnosis details about the images tha...
Malaria is a serious and lethal disease that has been reported by the World Health Organization (WHO), with an estimated 219 million new cases and 435,000 deaths globally. The most frequent malaria detection method relies mainly on the specialists who examine the samples under a microscope. Therefore, a computerized malaria diagnosis system is requ...
In the multiple instances learning framework,
instances are arranged into bags, each bag contains
several instances, the labels of each instance are not
available but the label is available for each bag. Whilst in
a single instance learning each instance is connected with
the label that contains a single feature vector. This paper
examines the dist...