Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kaleem Nawaz Khan"'
Autor:
Muhammad Salman Khan, Azmat Ullah, Kaleem Nawaz Khan, Huma Riaz, Yasar Mehmood Yousafzai, Tawsifur Rahman, Muhammad E. H. Chowdhury, Saad Bin Abul Kashem
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2405 (2022)
Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically in developing countries, ar
Externí odkaz:
https://doaj.org/article/9d25dd1687454d70919e1a2822a0dc2e
Publikováno v:
2021 15th International Conference on Open Source Systems and Technologies (ICOSST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed1fdf6f3c65e22240c59beeac24705
https://doi.org/10.1109/icosst53930.2021.9683975
https://doi.org/10.1109/icosst53930.2021.9683975
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware
Autor:
Kaleem Nawaz Khan, Najeeb Ullah, Sikandar Ali, Muhammad Salman Khan, Mohammad Nauman, Anwar Ghani
Android is one of the leading operating systems for smartphones in terms of market share and usage. Unfortunately, it is also an appealing target for attackers to compromise its security through malicious applications. To tackle this issue, domain ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2fd92e6e490b639d484a08512651f44
http://arxiv.org/abs/2104.04798
http://arxiv.org/abs/2104.04798
Publikováno v:
2021 International Conference on Artificial Intelligence (ICAI).
This paper investigates the performance of machine learning techniques for automated assessment of lymphocytes. A total of four algorithms, i.e., support vector machine (SVM), deep learning for java (DL4J), multi-layer perceptron (MLP) and $K^{\ast}$
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f6740c3d1984b7c386263dd77e9621a
https://doi.org/10.1109/icai52203.2021.9445242
https://doi.org/10.1109/icai52203.2021.9445242
Publikováno v:
2021 International Conference on Artificial Intelligence (ICAI).
This paper presents an improved classification technique for automated classification of phonocardiogram (PCG) signals. In the light of presented literature study, a number of representative multidomain time and frequency features are suggested for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cd647580411a6b02dee7effae62d135
https://doi.org/10.1109/icai52203.2021.9445235
https://doi.org/10.1109/icai52203.2021.9445235
Publikováno v:
2021 International Conference on Artificial Intelligence (ICAI).
The fundamental working of background subtraction is to identify the moving region by taking pixel-wise difference of the current frame from the previous one. The proposed study presents the comparison and implementation of different background subtr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7497f628ae75481767fd4ec51e2f29f6
https://doi.org/10.1109/icai52203.2021.9445253
https://doi.org/10.1109/icai52203.2021.9445253
Publikováno v:
2021 International Conference on Artificial Intelligence (ICAI).
In this paper, we propose a novel computer vision based system for detecting falls on the basis of a monocular camera that can be applied for assisting independent living of an older adult living alone at home. From the recorded video data, mask regi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12417e51217b4ad61b6890a47d65f20d
https://doi.org/10.1109/icai52203.2021.9445263
https://doi.org/10.1109/icai52203.2021.9445263
Publikováno v:
Web of Science
To extract liver from medical images is a challenging task due to similar intensity values of liver with adjacent organs, various contrast levels, various noise associated with medical images and irregular shape of liver. To address these issues, it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::052492611550dbd2b9d10a7467082c8e
Autor:
Anam Abid, Faiq Ahmad Khan, Zümray Dokur, Amith Khandakar, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Tamer Ölmez, Kaleem Nawaz Khan
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and timely detection of heart a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::450a17893917df7959bf93c11d0420e3
http://arxiv.org/abs/2012.08406
http://arxiv.org/abs/2012.08406