352 research outputs found
Covid-19 Diagnosis from X-Ray Images using Support Vector Machine
No full textAbstract: Coronavirus disease strike the world in 2019 and commonly called COVID-19 with its update given by the World Health Organization (WHO) on December 31, 2019. It infected more than 100 countries, an infectious disease strike the whole world and people of all age groups became a global health emergency. This disease can transmit from person to person through respiratory droplets and thus is highly contagious. The second wave almost killed billions of persons and lead to several liver problems, pneumonia, respiratory failure, cardiovascular diseases, etc. This can be symptomatic as well as asymptomatic in some patients and thus lead to increased communicability. Machine Learning is a latest trend currently useful in almost all research areas. Using these techniques to diagnose corona makes it highly feasible to cope up with this emergency. Different methods for testing corona virus are present but they require huge delay, are expensive, highly dependent test kits, higher negative false rate and prone to human errors. In this article we provide the state of the art of the covid diagnosis using Chest X ray images and this can guide both clinicians and technologists. A support vector machine is used to train the model and classify images into normal, pneumonia, and covid images. An overall accuracy of 95% is achieved using this method.
Keywords: COVID-19, Corona Virus, Machine Learning, Convolutional Neural Network, Support Vector Machine, X-ray images, Pneumonia.
Title: Covid-19 Diagnosis from X-Ray Images using Support Vector Machine
Author: Satyendra Kumar Sagar
International Journal of Recent Research in Mathematics Computer Science and Information Technology
ISSN 2350-1022
Vol. 9, Issue 2, October 2022 - March 2023
Page No: 24-32
Paper Publications
Website: www.paperpublications.org
Published Date: 16-December-2022
DOI: https://doi.org/10.5281/zenodo.7446436
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/Covid-19%20Diagnosis%20from%20X-Ray-16122022-2.pdfInternational Journal of Recent Research in Mathematics Computer Science and Information Technology, ISSN 2350-1022, Paper Publications, Website: www.paperpublications.or
Scientometric Portrait of Homi Jehangir Bhabha: The Father of Indian Nuclear Research Programme
No full textQuantitative and qualitative analysis with graphic representation of the publication productivity of a scientist facilitates easy and clear perception about the work of a scientist. Bhabha’s scientific work spanned over more than three decades (1933-1967) during which he published 104 publications, which could be classified into nine fields: Interaction of Radiation with Matter (4), Quantum Electrodynamics (5), Mathematical Physics (2), Cosmic Ray Physics (18), Elementary Particle Physics (14), Field Theory (15), General Physics (2), Nuclear Physics (4) and General (40). The highest number of publications (6) were published in 1941, 1945 and 1964 respectively. The average number of publications published per year was 3.05. His productivity coefficient was 0.05 which is a clear indicates that his publication productivity was quite consistent throughout his scientific career. He was single author in 79 of his publications and the main author in 24 publications indicates that he always preferred to work himself and lead the team as ‘mentor’. Bhabha had 22 collaborators during the period. Team of research collaborators working with a successful scientist documents the sociological aspect of history of science while generating knowledge by a leader in a domain.
Bhabha became a citable author in 1937. Bhabha received 1211 citations to his 30 publications out of 104 publications. Out of 104, 74 publications did not receive any citations. Out of 74 publications, 40 publications dealt subjects mainly of general interest. Bhabha’s 86.66 percent of cited publications received their first citations within four years of their publication indicates that his publications were noticed immediately and had direct impact among the fellow researchers working all over the world. His overall citation rate was 11.64 per cited publication. The highest citations 389 were received to the domain ‘Cosmic ray physics’. The highest number of citations received were 45 in 1938. His self-citations were only 24 (1.98%) and citations by others were 1187 (98.02%). The highest self citations were six in 1946. Bhabha’s mean diachronous self-citation rate was 1.98. The highest citation rate 28.4 was to the domain ‘Quantum electrodynamics. His single authored publications have received the highest number 863 (71.26%) of citations. Bhabha’s five publications have been cited more than 100 times each. His publications have been cited by the authors working in various diverse fields like nuclear physics, mathematical physics, instrumentation, optics, geophysics and geochemistry, condensed matter physics, applied physics, electrical and electronic engineering, mechanical engineering etc., indicating a very diverse influence and impact of Bhabha’s publications. Bhabha’s publications have also been cited by the Nobel laureates like V. L. Ginzberg, Wolfgang Pauli, H. A. Bethe, M. Born, W. Bothe, E. P. Wigner, H. Yukawa, P. M. S. Blackett and C. N. Yang which is an indication of his originality of ideas and high quality of publications
Synthesis of highly selective copolymer membranes and their application for the dehydration of tetrahydrofuran by pervaporation
No full textSynthesis and Structural Properties of Nanocrystalline (Pb1-xBix)S Thin Films
No full textNanocrystalline (Pb1-xBix)S thin films were successfully deposited on suitably cleaned glass substrate at constant room temperature, using the chemical bath deposition technique. After deposition the films were also annealed at 4000C for 1 hour in air. The crystal structures of the films were determined by X-ray diffraction studies. The films are adherent to the substrate and well crystallized according to cubic structure with the preferential orientation (200). The crystallite size of the pure PbS thin films at optimized deposition time 30 min was found to be 40.4 nm, which increased with Bi content in pure nanocrystalline PbS thin films. The surface roughness of the films was measured by AFM studies. Experiments showed that the growth parameters, doping and annealing influenced the crystal structure of the films. Key word: A. Thin films, B. Chemical synthesis C. Atomic force microscopy, D. X-ray diffraction Corresponding author. Tel: +91 788 2323997; Fax: +91 788 2210163 Email address: [email protected]
Analysis of Sorption and Permeation of Acetonitrile–Water Mixtures through Nanoclay-Filled Copolymer Membranes
No full textChitosan based nano composite adsorbent—Synthesis, characterization and application for adsorption of binary mixtures of Pb(II) and Cd(II) from water
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PVA modified filled copolymer membranes for pervaporative dehydration of acetic acid-systematic optimization of synthesis and process parameters with response surface methodology
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