Zobrazeno 1 - 10
of 415
pro vyhledávání: '"R A, Elton"'
Autor:
G. Ignisha Rajathi, R. Johny Elton, M. Beena Mol, L. Prinza, G. Jerald Prasath, J. Mohanalin Rajarathnam
Publikováno v:
Security and Privacy Issues in Internet of Medical Things ISBN: 9780323898720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5faf22939ac349e817c59b4257935cd6
https://doi.org/10.1016/b978-0-323-89872-0.00010-1
https://doi.org/10.1016/b978-0-323-89872-0.00010-1
Autor:
G. Ignisha Rajathi, R. Johny Elton, M. Beena Mol, L. Prinza, G. Jerald Prasath, J. Mohanalin Rajarathnam
Publikováno v:
Security and Privacy Issues in Internet of Medical Things ISBN: 9780323898720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57d8871781a4763cb063ced53f10e1c1
https://doi.org/10.1016/b978-0-323-89872-0.00006-x
https://doi.org/10.1016/b978-0-323-89872-0.00006-x
Autor:
Muhammad Junaid Ahsan, Rangel Arthur, Balamurugan Balusamy, R. Johny Elton, Reinaldo Padilha França, Genish Thiruppathiraju, Syed Aamer Hussain, Yuzo Iano, M. Beena Mol, Ana Carolina Borges Monteiro, Muhammad Salman Mushtaq, Yousaf Mushtaq, Rida Nawaz, G. Jerald Prasath, L. Prinza, J. Mohanalin Rajarathnam, G. Ignisha Rajathi, Muhammad Qamar Raza, Laiba Rehman, Savita Dahiya, Muhammad Imran Tariq, Vijayalakshmi Subramanian
Publikováno v:
Security and Privacy Issues in Internet of Medical Things ISBN: 9780323898720
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d85f5c5543ccdcf13aeef34d2b80b529
https://doi.org/10.1016/b978-0-323-89872-0.09992-5
https://doi.org/10.1016/b978-0-323-89872-0.09992-5
Publikováno v:
International Journal of Speech Technology. 24:127-142
Voice activity detection is currently a challenging task that is applicable in real time applications such as speech coding and recognition. It is due to the low signal-to-noise ratio that affected the structural properties. Voice activity detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d662702fd7035a1efac10b174e19b13b
https://doi.org/10.1007/s10772-020-09777-w
https://doi.org/10.1007/s10772-020-09777-w
Autor:
Moses Kareem Abiodun, Gheorghe Agache, Abidemi Emmanuel Adeniyi, Maricel Agop, Gbemisola Janet Ajamu, Teodora Apopei, Muhammad Arif, Sandhya Avasthi, Joseph Bamidele Awotunde, Femi Emmanuel Ayo, Valentina Emilia Balas, S. Beena, Calin Gheorghe Buzea, Marius Mihai Cazacu, Ritu Chauhan, Roxana Chiş, Nicanor Cimpoeşu, Ramona Cimpoeşu, Mihai Constantinescu, Anastasia Cotov, Sorin Curea, Edgar Demeter, Namrata Dhanda, Kanav Dhir, Tiberiu Dughi, Anca Egerău, Haroon Elahi, Armand Enache, Oana Geman, Deepika Ghai, R. Girija, Mihaela Hnatiuc, Iulian Ştefan Holubiac, Dragos Teodor Iancu, Roxana Irina Iancu, G. Ignisha Rajathi, Sadaf Iqram, Diana Roxana Izdrui, Anubha Jain, S.L. Jayalakshmi, Vijay Jeyakumar, R. Johny Elton, Florin Valentin Leuciuc, Ramona Lile, Roxana Maier, Vasile Marineanu, Namrata Mendiratta, Camil Ciprian Mireştean, Antoanela Naaji, Simona Nastase, K. Nirmala, R. Nithya, Opeyemi Eyitayo Ogundokun, Roseline Oluwaseun Ogundokun, Ciprian Paraschiv, Petronela Paraschiv, Marius Popescu, Octavian-Adrian Postolache, Alin Dan Potorac, Marius Prelipceanu, Dana Rad, Gavril Rad, Yagyanath Rimal, Alina Roman, Adi Sala, A. Santhy, Tanushree Sanwal, Sînziana-Călina Silişteanu, Ovidiu Toderici, Suman Lata Tripathi, R. Vedhapriyavadhana, Yegnanarayanan Venkatraman, Dragoş Vicoveanu, Elena Vizitiu, Krithicaa Narayanaa Yegnanarayanan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82cbd6c040b7351a67132051e57c7c8b
https://doi.org/10.1016/b978-0-323-85174-9.01002-5
https://doi.org/10.1016/b978-0-323-85174-9.01002-5
Publikováno v:
Internet of Things, Artificial Intelligence and Blockchain Technology ISBN: 9783030741495
The interestingly beneficiary technologies are numerous in the current era. Out of the lot, the two important superpower technologies, Artificial Intelligence and Internet of Things, converge to form AIoT. The generations evolved when the drawbacks w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efd5e462424396d971fc1cde6fd6a7f8
https://doi.org/10.1007/978-3-030-74150-1_7
https://doi.org/10.1007/978-3-030-74150-1_7
Publikováno v:
Entropy, Vol 18, Iss 8, p 298 (2016)
This paper proposes support vector machine (SVM) based voice activity detection using FuzzyEn to improve detection performance under noisy conditions. The proposed voice activity detection (VAD) uses fuzzy entropy (FuzzyEn) as a feature extracted fro
Externí odkaz:
https://doaj.org/article/0e558434327b470ab1e9132d88c9a414
Publikováno v:
Scopus-Elsevier
In this paper a novel voice activity detection approach using smoothed fuzzy entropy (smFuzzyEn) feature using support vector machine is proposed. The proposed approach (smFESVM) uses total variation filter and Savitzky-Golay filter to smooth the Fuz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0dcaa68579fec5612c3aed10aaf34f7
https://doi.org/10.22201/icat.16656423.2019.17.1.754
https://doi.org/10.22201/icat.16656423.2019.17.1.754
Publikováno v:
Entropy, Vol 18, Iss 8, p 298 (2016)
Entropy; Volume 18; Issue 8; Pages: 298
Entropy; Volume 18; Issue 8; Pages: 298
This paper proposes support vector machine (SVM) based voice activity detection using FuzzyEn to improve detection performance under noisy conditions. The proposed voice activity detection (VAD) uses fuzzy entropy (FuzzyEn) as a feature extracted fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb198843054215ba708669938d277ef6
http://www.mdpi.com/1099-4300/18/8/298
http://www.mdpi.com/1099-4300/18/8/298