Pneumonia detection using convolutional neural networks (CNNs)

V Sirish Kaushik, A Nayyar, G Kataria… - Proceedings of First …, 2020 - Springer
Pneumonia, an interstitial lung disease, is the leading cause of death in children under the
age of five. It accounted for approximately 16% of the deaths of children under the age of …

[PDF][PDF] Comparative study of five text classification algorithms with their improvements

AH Aliwy, EHA Ameer - International Journal of Applied …, 2017 - files2.shewaya.com
Text classification is one of the important fields in natural language processing. It has many
applications in the commercial world like email spam filtering, information retrieval and many …

[PDF][PDF] Urdu text classification using majority voting

M Usman, Z Shafique, S Ayub… - International Journal of …, 2016 - pdfs.semanticscholar.org
Text classification is a tool to assign the predefined categories to the text documents using
supervised machine learning algorithms. It has various practical applications like spam …

Effects of the dynamic and energy based feature extraction on hindi speech recognition

S Bhatt, A Dev, A Jain - Recent Advances in Computer Science …, 2021 - ingentaconnect.com
Background: Speech Recognition is the most effective and suitable way of communication.
Extracted features play an important role in speech recognition. Previous research works for …

[PDF][PDF] Automating quranic verses labeling using machine learning approach

A Adeleke, N Samsudin, A Mustapha… - Indonesian Journal of …, 2019 - researchgate.net
Classification of Quranic verses into predefined categories is an essential task in Quranic
studies. However, in recent times, with the advancement in information technology and …

Klasifikasi judul buku dengan algoritma naive bayes dan pencarian buku pada perpustakaan jurusan teknik elektro

V Rizqiyani, A Mulwinda, RDM Putri - Jurnal Teknik Elektro, 2017 - journal.unnes.ac.id
Abstract Berdasarkan Undang-undang Republik Indonesia Nomor 43 Tahun 2007 tentang
Perpustakaan menyebutkan bahwa penyelenggaraan pendidikan nasional memerlukan …

[PDF][PDF] Document classification using lstm neural network

MNM Ranjan, YR Ghorpade, GR Kanthale… - Journal of Data Mining …, 2017 - core.ac.uk
Document Classification is one of the most important topic in Computer Science as the
number of electronic documents are increasingly very rapidly each day. Document …

Multi-label text classification using optimised feature sets

J Maruthupandi, KV Devi - International Journal of Data …, 2017 - inderscienceonline.com
Multi-label text classification is the process of assigning multi-labels to an instance. A
significant aspect of the text classification problem is the high dimensionality of the data …

Comparison of Naive Bayes and support vector machine classifiers on document classification

ZH Moe, T San, MM Khin, HM Tin - 2018 IEEE 7th global …, 2018 - ieeexplore.ieee.org
The main objective is to classify the field from IT research papers and compare the accuracy
in two classifiers. Classification is the form of data analysis that can be used to extract …

[PDF][PDF] Text classification in data mining

A Purohit, D Atre, P Jaswani, P Asawara - International Journal of …, 2015 - Citeseer
Text classification is the process of classifying documents into predefined categories based
on their content. Text classification is the primary requirement of text retrieval systems, which …