Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Pramod Kachare"'
Autor:
Ibrahim Al-Shourbaji, Pramod Kachare, Sajid Fadlelseed, Abdoh Jabbari, Abdelazim G. Hussien, Faisal Al-Saqqar, Laith Abualigah, Abdalla Alameen
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-24 (2023)
Abstract Meta-Heuristic (MH) algorithms have recently proven successful in a broad range of applications because of their strong capabilities in picking the optimal features and removing redundant and irrelevant features. Artificial Ecosystem-based O
Externí odkaz:
https://doaj.org/article/1c5cdb016d3c40f3a46ceecf39455e52
Publikováno v:
SN Computer Science. 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbcf5543b349489111546de931b41498
https://doi.org/10.1007/s42979-022-01129-6
https://doi.org/10.1007/s42979-022-01129-6
Alzheimer’s Disease Detection using Empirical Mode Decomposition and Hjorth parameters of EEG signal
Autor:
Digambar Puri, Sanjay Nalbalwar, Anil Nandgaonkar, Pramod Kachare, Jaswantsing Rajput, Abhay Wagh
Publikováno v:
2022 International Conference on Decision Aid Sciences and Applications (DASA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fc8b69d917d1b770839237b05ccfe92
https://doi.org/10.1109/dasa54658.2022.9765111
https://doi.org/10.1109/dasa54658.2022.9765111
Publikováno v:
Applied Computational Technologies ISBN: 9789811927188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad655383a85b6d19788a071fec1433f
https://doi.org/10.1007/978-981-19-2719-5_28
https://doi.org/10.1007/978-981-19-2719-5_28
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031105500
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::782bcab3a105fb702df4a971c2d4b445
https://doi.org/10.1007/978-3-031-10551-7_13
https://doi.org/10.1007/978-3-031-10551-7_13
Autor:
Pramod Kachare, Prem C. Pandey
Publikováno v:
2021 National Conference on Communications (NCC).
Spectral variation function is used to detect salient segments (segments with sharp spectral transitions). It is calculated from cosine of the angle between the averaged feature vectors of the adjacent segments. A modified version of this function is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea2667dec04bdf08c07cb1f19907ea3
https://doi.org/10.1109/ncc52529.2021.9530088
https://doi.org/10.1109/ncc52529.2021.9530088
Publikováno v:
2021 National Conference on Communications (NCC).
Hearing-impaired children lack auditory feedback and experience difficulty in acquiring speech production. They can benefit from speech training aids providing visual feedback of key articulatory efforts. Requirements for such aid are developed throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc1f190973ab5ec1f8be290efc6324b
https://doi.org/10.1109/ncc52529.2021.9530135
https://doi.org/10.1109/ncc52529.2021.9530135
Autor:
Sandeep Sangle, Pramod Kachare
Publikováno v:
Applied Computer Vision and Image Processing ISBN: 9789811540288
The paper shows the effect of PCA and LDA, for dimension reduction and early fusion, in the framework of the Diabetes disease diagnostic system. Several ANN architectures were evaluated to obtain the optimum classification model. Confusion matrix-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4880c754c5932852fe6a53f68d07963c
https://doi.org/10.1007/978-981-15-4029-5_7
https://doi.org/10.1007/978-981-15-4029-5_7
Autor:
Pramod Kachare, Anita Devasthali
Publikováno v:
Applied Computer Vision and Image Processing ISBN: 9789811540288
Wavelet Packet Transform (WPT) is one of the generalized forms of the wavelet transform that has been a subject of interest for a variety of researchers. Owing to the multi-resolution characteristic of WPT, it has stepped into various research fields
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c0303001b53cdd1d23dc3c850511e67
https://doi.org/10.1007/978-981-15-4029-5_19
https://doi.org/10.1007/978-981-15-4029-5_19
Publikováno v:
Neurocomputing. 237:39-49
The voice conversion system modifies the speaker specific characteristics of the source speaker to that of the target speaker, so it perceives like target speaker. The speaker specific characteristics of the speech signal are reflected at different l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dac86e6c00113db1f6dac47f96621f13
https://doi.org/10.1016/j.neucom.2016.07.048
https://doi.org/10.1016/j.neucom.2016.07.048