Search Results - (( data promoting problem algorithm ) OR ( java application path algorithm ))
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1
Smart appointment organizer for mobile application / Mohd Syafiq Adam
Published 2009“…In creating this application, NetBeans IDE 6.5and Java Micro Edition (Java ME) are used. …”
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Thesis -
2
Visdom: Smart guide robot for visually impaired people
Published 2025“…The system architecture integrates ROS 2 on a Raspberry Pi, with TCP/IP connectivity enabling remote operation. An Android mobile application, developed using Java and the java.net.Socket library, provides an intuitive and accessible user interface for seamless interaction with the robot. …”
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Final Year Project / Dissertation / Thesis -
3
Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network
Published 2024journal::journal article -
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Efficient transmission based on genetic evolutionary algorithm
Published 2022“…The basic working principle and main characteristics of genetic algorithm (GA) are summarized, and the theory, technology and existing problems of GA are discussed. …”
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Proceedings -
5
An algorithm for the selection of planting lining technique towards optimizing land area: an algorithm for planting lining technique selection
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Conference or Workshop Item -
6
Development and validation of promoter prediction system for recombinant lipase expression in Pichia pastoris
Published 2017“…This study aims to develop a promoter prediction system for recombinant lipase expression in commonly used yeast expression system, P. pastoris using BLAST heuristic algorithm. …”
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Thesis -
7
Optimizing in-car-abandoned children’s sounds detection using deep learning algorithms / Nur Atiqah Izzati Md Fisol
Published 2023“…Children abandoned in vehicles is a critical issue that has led to numerous fatal injuries worldwide. To address this problem, an optimized in-car-abandoned children's sounds detection model using deep learning algorithms is proposed. …”
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Student Project -
8
K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data
Published 2022“…In order to process the collected data and segment the customers, an learning algorithm is used which is known as K-Means clustering. …”
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Article -
9
Sentiment analysis of restaurant reviews in Kuala Terengganu based on K-Nearest Neighbor/ Siti Syazwana Jafri
Published 2021“…In the future, it is very recommended to experiment with different algorithm. The volume of data should be large as it can generate better result of classification method.…”
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Thesis -
10
Diagnosis of breast cancer using case-based reasoning
Published 2012“…The application used the 100 data of Wisconsin Breast Cancer dataset for evaluating the CBR algorithm. …”
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Undergraduates Project Papers -
11
Building customer churn prediction models in Indonesian telecommunication company using decision tree algorithm
Published 2023“…This study uses data mining techniques with decision tree algorithms to predict customer churn in one of Indonesian Telecommunication companies. …”
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Conference or Workshop Item -
12
Sentiment analysis on national cultural tourism using Linear Support Vector Machine (LSVM) / Nur Haida Hanna Samsuddin
Published 2020“…In future, it is recommended to experiment with different algorithm or kernel of Support Vector Machine. The volume of data should be large as it can generate better result of classification method.…”
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Thesis -
13
Data Analytics on student response via social media on the educational landscape (learning, experience, humanization) during the COVID-19 pandemic
Published 2020“…All comments from particularly selected posts are retrieved via a data extraction tool. Then, a sentiment analysis of the comments is carried out using machine learning algorithms such as Support Vector Machine to analyse the sentiments conveyed by the students via their comments. …”
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Final Year Project -
14
Safe experimentation dynamics algorithm for identification of cupping suction based on the nonlinear Hammerstein model
Published 2023“…This research paper suggests a method to detect the cupping suction model by employing the Hammerstein model and utilizing the Safe Experimentation Dynamics (SED) algorithm. The problem is that the cupping suction system experiences pressure leaks and is difficult to control. …”
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Article -
15
Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks
Published 2022“…Hence, finding a fast, accurate, and strong solution to solve the range-free localization problem is still a big challenge. Accordingly, this study aspires to bridge the research gap by exploring a new DV-Hop algorithm to build a fast, costefficient, strong range-free localization scheme. …”
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Thesis -
16
Why coding? Why now? From coding to computational thinking through computational mathematics problem based learning (CM-PBL)
Published 2019“…Promoting different kind of skills and abilities among students is important to solve the complexity problem in real world. …”
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Conference or Workshop Item -
17
Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit
Published 2024“…Unlike traditional data-centralized ML methods, federated learning (FL) provides a novel and promising distributed learning scheme to promote ML in multiple healthcare institutions while preserving data privacy. …”
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Thesis -
18
Influence maximisation towards target users and minimal diffusion of information based on information needs
Published 2020“…Experimental method was used by employing five social network datasets including Epinions, Wiki-Vote, SlashDot, Facebook and Twitter from Stanford data repository. Evaluation on IDTU was performed against 3 greedy and 6 heuristics benchmark algorithms. …”
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Thesis -
19
Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing
Published 2014“…Backpropagation NN is supervised learning methods that analyze data and recognize to solve many problems in the real world by building a model that is trained to perform well in some non-linear problems. …”
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Thesis -
20
Empirical modeling of hydrate formation prediction in deepwater pipelines
Published 2016“…Gas hydrate is a challenging problem in deep-water natural gas transmission lines. …”
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