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1
Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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Thesis -
2
Separator Database and SPM Tree Framework for Mining Sequential Patterns Using Prefixspan with Pseudoprojection
Published 2008“…The results also show that in Java, A Arraylist is the most suitable choice for storing Object and Arraylnt list is the most suitablec choice for storing integer data. …”
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3
Improvement and application of particle swarm optimization algorithm
Published 2025“…When severe actuator faults impede certain robots, functioning wheeled mobile robots (WMRs) adjust their formation to reduce the consequences of the malfunction. …”
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Article -
4
Development of a mathematical model for the prediction of chip formation instability and its verification by fuzzy logic with genetic algorithm
Published 2010“…In this paper, a new analytical technique is proposed to predict the frequency of chip formation instability as a function of cutting parameters. …”
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5
Agreement options for negotiation on material location decision of housing development
Published 2020“…Decision algorithms are based on the cooperative game theory to develop the agreement options and coalition formation. …”
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6
Inter-cell and intra-cell facility layout models under different demand environments in cellular manufacturing systems
Published 2012“…Moreover, the computation time (CPU Time) of the developed SA algorithm is significantly less than the benchmarked algorithm. …”
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7
Modem Recognition Algorithm for Software Defined Radio Base Station
Published 2004“…Modem is the heart of a SDR system; it functions as an incoming modulation recogniser, multi-format demodulator, outgoing modulation recogniser, and multi-format modulator. …”
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8
Multi-Object Attitude and Rate Tracking for Spacecraft in Formation Flying
Published 2011“…Based on the same approach the relative dynamics and kinematics are augmented to the previous system to represent the overall system process model. The developed controller is applied to spacecraft in formation as a decentralized control algorithm which aims to track absolute and relative attitude and rates simultaneously.The developed controller is applied to a spacecraft formation in a remote sensing mission.The simulations results show the capabilities of the MSDRE to handle the multi-object tracking without any unnecessary control efforts that might lead to actuators saturations or additional control logic to switch between absolute and relative tracking. …”
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Proceeding Paper -
9
Development Of Generative Computer-Aided Process Planning System For Lathe Machining
Published 2019“…To validate the generated tool-path, G-codes generated in media package file (MPF) file format and verified through CNC lathe machine. Indeed, the developed algorithm was able to determine the minimum unit production cost of lathe machining part model. …”
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10
Normalized Relational Storage for Extensible Markup Language (XML) Schema
Published 2011“…The algorithm is based on computing a set of minimum covers for all functional dependencies on a universal relation when given XML Functional Dependencies (XFDs) and the schema information. …”
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Journal -
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Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022“…The data collected for this machine learning model is using the statistically significant features from vibration and acoustic analysis. …”
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Monograph -
12
E-Raser: file shredder application with content replacement by using random words function
Published 2018“…Thus, this study proposed a file shredding application named E-Raser which replacing the content of the file using random words function algorithm. A file shredder application named E-Raser was developed to shred Microsoft Word documents with (.doc) or (.docx) format. …”
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13
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…Besides, an android application is being cre-ated to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. …”
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14
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address the noise problem in multi-view data, this study enhances the gbs method and develops a new self-weighted graph multi-view clustering algorithm (swmcan). …”
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15
Human activity recognition via accelerometer and gyro sensors
Published 2023“…Lastly, the project paves the way for establishment of standardized dataset, with streamlined data collection, data annotation and data storage, and allow comparative research and benchmarking.…”
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Final Year Project / Dissertation / Thesis -
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Songs Search Using Human Humming Voice
Published 2007“…The scopes for this project are human humming voice, voice capture in WA V format, songs database, and MIDI file comparing algorithm. …”
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Final Year Project -
17
Conjunctions in biological neural architectures for visual pose estimation / Tom´As Maul
Published 2006“…Following this, at the formational level, various local mechanisms are investigated in the context of the biological development of the proposed neural architectures. …”
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18
Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…These cognitive maps are then stored in a data warehouse and ready to collect anytime for analytics purposes. …”
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19
Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning
Published 2024“…The second-level learner uses logistic regression (LR) to aggregate the final prediction output. The landslide data together with its conditioning factors (feature variables) collected from three districts in the Central Java Province, Indonesia, has been used as the case study for the LSM. …”
Conference Paper -
20
AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…Besides, an android application is being cre-ated to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. …”
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