Search Results - (( developing mobile new algorithm ) OR ( java application using algorithm ))
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1
A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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Thesis -
2
Development of mobile application of event assistant and booking sport facilities for UiTM Seremban 3 Campus using wofkflow management system / Ahmad Haiqal Abd Halim, Ahmad Yusuf...
Published 2019“…In this research, its content of the step on how to apply the method of WfMS in a mobile application with the use of an android studio. The algorithm for the WfMS is written using Java script in this research. …”
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Student Project -
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Development of open platform controller for step-NC compliant CNC system
Published 2020“…Moreover, UOCC system has been extended to online environment via Wi-Fi which utilizes Transmission Control Protocol (TCP) Socket in Java which used the PC as server to create socket thus establishing bind connection between UOCC RM mobile phone and the UOCC system, allowing users to remotely monitor the machining process on mobile platform. …”
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4
Enhancing obfuscation technique for protecting source code against software reverse engineering
Published 2019“…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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5
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Provider independent cryptographic tools
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Monograph -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…This new classification can be used as the input for mobile botnet detection for future work, especially for financial matters.…”
Proceedings Paper -
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New Lightweight Identity Based Encryption Algorithm for Mobile Device: Preliminary Study
Published 2012“…Therefore for this study we try to create a new lightweight algorithm for mobile device, we want to implement identity based encryption with new feature, suitable for mobile device specification. …”
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Conference or Workshop Item -
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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Undergraduates Project Papers -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Thalassaemia detection using CBR Algorithm via mobile device
Published 2011“…This thesis proposes a Case-Based Reasoning model for medical diagnosis,particularly for Thalassaemia diagnosis. CBR Algorithm is an algorithm that can solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation in a new situation.CBR is suit for solving the problem in Thalassaemia cases.The model is designed and prototype is developed to test the diagnosis accuracy of the model.T his application is focus on Beta Thalassaemia and Haemoglobin E Trait only.For platform, this application will be using the mobile device such as PDA. …”
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Undergraduates Project Papers -
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Mobile Map-Based Positioning System Using Segmentation Algorithm (MM-BPS)
Published 2008“…Vaishnavi and Kuechler Methodology has been implemented in various applications and it considered as a general methodology to develop totally new algorithms and create new information according to the accumulated information. …”
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Thesis -
14
A study of packet scheduling with mobile cellular channel impairments
Published 2012“…This paper studies a number of low complexity real time packet scheduling algorithms developed for the legacy mobile cellular systems. …”
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Proceeding Paper -
15
Dynamic path planning algorithm in mobile robot navigation
Published 2011“…MATLAB simulation is developed to verify and validate the algorithm before they are real time implemented on Team AmigoBotTM robot. …”
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Conference or Workshop Item -
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Android Mobile Malware Classification Based on System Call and Permission Using Tokenization
Published 2024thesis::master thesis -
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A machine learning approach to tourism recommendations system
Published 2025“…Model with the highest accuracy will be integrated into a tourism recommendation mobile application. A high portability and mobility mobile application will be developed by using React Native, and the dataset used in developing will be obtained from Google API. …”
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Final Year Project / Dissertation / Thesis -
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Mobile game application development using evolutionary algorithms
Published 2014“…Evolutionary Algorithms have never been used on mobile applications, thus it gives a novel idea of utilizing Evolutionary Algorithms in developing applications typically in games for mobile platforms. …”
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Thesis -
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Range sensor based local path planning algorithm for mobile robot in unknown static environment with beacon / Wan Ahmad Jailani Wan Ngah
Published 2013“…Implementation of Bug algorithm also requires assumption that the localisation for mobile robot is ideal causes the need for ideal sensor and unrealistic for real mobile robots to be implemented in real world. …”
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Thesis -
20
Extreme learning machine for user location prediction in mobile environment
Published 2011“…Originality/value – A new computational intelligence modeling scheme, based on the ELM has been investigated, developed and implemented, as an efficient and more accurate predictive solution for determining position of mobile users based on location fingerprint data (SS and SQ).…”
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