Zobrazeno 1 - 10 of 27 pro vyhledávání: '"Emran Mohd Tamil"'
1
IoT-based botnet attacks systematic mapping study of literature
Autor: Syed Adeel Ali Shah, Habiba Hamid, Sheena Kaur, Syaril Nizam Omar, Ismail Ahmedy, Rafidah Md Noor, Shaik Shabana Anjum, Fazidah Othman, Emran Mohd Tamil
Publikováno v: Scientometrics. 126:2759-2800
The rapid escalation in the usage of the Internet of Things (IoT) devices is threatened by botnets. The expected increase in botnet attacks has seen numerous botnet detection/mitigation proposals from academia and industry. This paper conducts a syst
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::10a869ba7e28c4bca94311d4ff9f8d0c
https://doi.org/10.1007/s11192-020-03819-5
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2
RETRACTED ARTICLE: A stream position performance analysis model based on DDoS attack detection for cluster-based routing in VANET
Autor: Miss Laiha Mat Kiah, Mohd Emran Mohd Tamil, Rafidah Md Noor, Ismail Ahmedy, Tarak Nandy, Raenu Kolandaisamy, Indraah Kolandaisamy
Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 12:6599-6612
The strength of Vehicular Ad hoc Networks (VANETs) and the rapid deployment capability, can be used in many situations where the network should be arranged in a short time and there is a need to collect sensitive information. We consider cluster-base
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f0505dbc61b401ba743db637afc1d2ca
https://doi.org/10.1007/s12652-020-02279-2
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3
Akademický článek
Intersection and Complement Set (IACS) Method to Reduce Redundant Node in Mobile WSN Localization
Autor: Muhammad Zar Mohd. Zaid Harith, Noorzaily Mohamed Noor, Mohd. Yamani Idna Idris, Emran Mohd. Tamil
Publikováno v: Sensors, Vol 18, Iss 7, p 2344 (2018)
The majority of the Wireless Sensor Network (WSN) localization methods utilize a large number of nodes to achieve high localization accuracy. However, there are many unnecessary data redundancies that contributes to high computation, communication, a
Externí odkaz: https://doaj.org/article/85087f3b697a408f8cf9239102aba95e
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5
Intersection and Complement Set (IACS) Method to Reduce Redundant Node in Mobile WSN Localization
Autor: Mohd Yamani Idna Idris, Muhammad Zar Mohd. Zaid Harith, Noorzaily Mohamed Noor, Emran Mohd Tamil
Publikováno v: Sensors
Volume 18
Issue 7
Sensors, Vol 18, Iss 7, p 2344 (2018)
Sensors (Basel, Switzerland)
The majority of the Wireless Sensor Network (WSN) localization methods utilize a large number of nodes to achieve high localization accuracy. However, there are many unnecessary data redundancies that contributes to high computation, communication, a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d579769ae78895cf856aa80d43c94154
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7
A co-processor design to accelerate sequential monocular SLAM EKF process
Autor: Zaidi Razak, Noorzaily Mohamed Noor, Emran Mohd Tamil, Hamzah Arof, Mohd Yamani Idna Idris
Publikováno v: Measurement. 45:2141-2152
Extended Kalman Filter (EKF) is a non-linear state estimation technique which is used to produce values that close to the true value when given with measurement containing noise and other inaccuracies. In Monocular Simultaneous Localization and Mappi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11c7bf899076f19c18a10c25b73f110f
https://doi.org/10.1016/j.measurement.2012.05.018
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8
Off-Line Jawi Handwriting Recognition using Hamming Classification
Autor: Zaidi Razak, Z.B.M. Yusoff, Rosli Salleh, Mohd Yamani Idna Idris, Mohd Yakub, Mashkuri Yaacob, Nik Abdul Rahim Nik Abdul Ghani, Noorzaily Mohamed Noor, Emran Mohd Tamil
Publikováno v: Information Technology Journal. 8:971-981
Research on character recognition is divided into two forms which are on-line and off-line recognition. For on-line recognition, the user will write on input surface which is called tablet and it will recognize the character immediately, while off-li
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2d0051ff1de69b0ced20bb6c533333b
https://doi.org/10.3923/itj.2009.971.981
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