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Akademický článek
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Publikováno v:
Evolutionary Intelligence; Apr2024, Vol. 17 Issue 2, p731-743, 13p
Autor:
Zahid Wadud, Muhammad Ismail, Abdul Baseer Qazi, Farrukh Aslam Khan, Abdelouahid Derhab, Ibrar Ahmad, Arbab Masood Ahmad
Publikováno v:
IEEE Access, Vol 7, Pp 175980-175999 (2019)
Underwater Wireless Sensor Networks (UWSNs) face numerous challenges due to small bandwidth, long propagation delay, limited energy resources and high deployment cost. Development of efficient routing strategies is, therefore, mandatory and has remai
Externí odkaz:
https://doaj.org/article/1c1ca46116d840f0951f3cd8f8f85fd1
Publikováno v:
2020 International Conference on Intelligent Engineering and Management (ICIEM).
In speaker Verification we are verifying the person by extracting the features from his/her sound and then classifying to prove that is he/her is valid speaker or not, who is claiming that he is. This is the most useful and well-known biometric recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa7f74ba07c262f4ef748279b579e522
https://doi.org/10.1109/iciem48762.2020.9160019
https://doi.org/10.1109/iciem48762.2020.9160019
Publikováno v:
2019 International Conference on Advances in the Emerging Computing Technologies (AECT).
Vegetation is one of the most important part of an ecosystem. It is responsible for providing oxygen and gets in carbon dioxide, hence providing a suitable place for the human beings to live. The information about this vegetation is very critical. Us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82584b988840eb6b0aada83faf4069c0
https://doi.org/10.1109/aect47998.2020.9194217
https://doi.org/10.1109/aect47998.2020.9194217
Autor:
Salman Ahmed, Arbab Masood Ahmad, Ruzat Ullah, Tariq Kamal, Safdar Nawaz Khan Marwat, Muhammad Tufail, Abdul Hafeez
Publikováno v:
Electronics
Volume 9
Issue 10
Electronics, Vol 9, Iss 1660, p 1660 (2020)
Volume 9
Issue 10
Electronics, Vol 9, Iss 1660, p 1660 (2020)
Artificial Intelligence (AI) and Machine Learning (ML) are envisaged to play key roles in 5G networks. Efficient radio resource management is of paramount importance for network operators. With the advent of newer technologies, infrastructure, and pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5d01d78799462222b714466de6891b2
https://doi.org/10.3390/electronics9101660
https://doi.org/10.3390/electronics9101660
Cartesian Genetic Programming (CGP) is explored to design an optimal circuit capable of early stage breast cancer detection. CGP is used to evolve simple multiplexer circuits for detection of malignancy in the Fine Needle Aspiration (FNA) samples of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f3df360dbf6aff77a9853ab04832a34
Autor:
Gul Muhammad Khan, Arbab Masood Ahmad
Publikováno v:
Inspired by Nature ISBN: 9783319679969
This chapter presents the work done in the field of Cartesian Genetic Programming evolved Artificial Neural Networks (CGPANN). Three types of CGPANN are presented, the Feed-forward CGPANN (FFCGPAN), Recurrent CGPANN and the CGPANN that has developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d11f1fbe58a71309dba8ff29d4f4e2f
https://doi.org/10.1007/978-3-319-67997-6_10
https://doi.org/10.1007/978-3-319-67997-6_10
Publikováno v:
Electronics
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 672 (2019)
Volume 8
Issue 6
Electronics, Vol 8, Iss 6, p 672 (2019)
This paper presents an intelligent approach for the detection of Melanoma&mdash
a deadly skin cancer. The first step in this direction includes the extraction of the textural features of the skin lesion along with the color features. The extract
a deadly skin cancer. The first step in this direction includes the extraction of the textural features of the skin lesion along with the color features. The extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cbd0a739b5f81d7faa78ca4ac10c3b3
https://doi.org/10.3390/electronics8060672
https://doi.org/10.3390/electronics8060672