Search Results - (( java data classification algorithm ) OR ( passing interface encryption algorithm ))
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1
Enhancing Secure Sockets Layer Bulk Data Trnsfer Phase Performance With Parallel Cryptography Algorithm
Published 2007“…Advanced Encryption Standard (AES) was chosen as encryption algorithm and HMAC Standard Hash Algorithm 1 (SHA1) was chosen as HMAC algorithm. …”
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Thesis -
2
A modification of Shamir's Three-Pass protocol by implementing one-time pad algorithm / Nur Khairunnisa' Kusman, Nurul Hanis Abd Rashid and An Nur Ameera Zamani
Published 2019“…As a result, this study success to develop the algorithm by implemented one-time pad in Shamir's three-pass protocol. …”
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Student Project -
3
Enhancing security performance with parallel crypto operations in SSL bulk data transfer phase
Published 2007“…The communication between the two processors was done via Message Passing Interface (MPI). Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the current (sequential) algorithm.…”
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Conference or Workshop Item -
4
Improving security performance with parallel crypto operations in SSL bulk data transfer
Published 2009“…The communication between the two processors was done via Message Passing Interface (MPI). Based on the performance simulations, the new parallel algorithm gained speedup of 1.74 with 85% efficiency over the sequential (current) algorithm.…”
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Article -
5
Parallel Processing of RSAAlgorithm Using MPI Library
Published 2006“…This report explains the project of developing Parallel Processing of RSA Algorithm Using MPI Library. RSA Algorithm is a public-key cryptosystem that offers encryption technique which security is based on the difficulty of factoring large prime integers. …”
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Final Year Project -
6
Fuzzy modeling using Bat Algorithm optimization for classification
Published 2018“…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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Undergraduates Project Papers -
7
Classification System for Heart Disease Using Bayesian Classifier
Published 2007“…This system was developing base on to three main part which is data processing, testing and implementation of the algorithm. …”
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Thesis -
8
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Major problems in classification task are large amount of training data, large number of features and different behavior of data streams that reduce accuracy and increase computational cost in classifier training phase. …”
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9
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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10
A web-based implementation of k-means algorithms
Published 2022“…Firstly, k-luster could incorporate additional clustering algorithms, or even classification algorithms in the future. …”
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Final Year Project / Dissertation / Thesis -
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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13
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…Machine Learning is one of the ways as a preventive method by applying the data collected from the clogging experiment in the vibration lab to build up a machine learning model for classification of flow blockage levels in the centrifugal pump. …”
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Monograph -
14
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024Conference Paper -
15
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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Thesis
