Search Results - (( waste implementation learning algorithm ) OR ( java application reoptimize algorithm ))
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Applying machine learning and particle swarm optimization for predictive modeling and cost optimization in construction project management
Published 2024“…Evaluation metrics such as Mean Squared Error, Root Mean Squared Error, Mean Absolute Error, and R-squared are commonly employed in the assessment of Machine Learning models' performance. The Voting regression, which leverages the collective predictive power of multiple models, exhibits superior performance in comparison to individual algorithms. …”
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Article -
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Mixed waste classification based on vision inspection / Hassan Mehmood Khan
Published 2022“…Classification of dry waste garbage is crucial since incorrect labelling of dry waste types may contribute huge loss to waste industry. …”
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Thesis -
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Sales prediction for Adha Station by using predictive analytics
Published 2025“…In the future, it is advisable to collect additional contextual information, such as a compilation of public holidays and promotions, implement realtime modifications, evaluate more advanced algorithms and enhance staff training and data literacy. …”
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Student Project -
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CNN integrated mobile application: food image recognition for recipe generation
Published 2025“…This research explores the Convolutional Neural Networks (CNN) algorithm to tackle the problems of effective ingredient management and minimize food waste through smartphone application. …”
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Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Published 2017“…One of the issues of ANN implementation is to correctly select the output activation function in achieving higher output. …”
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Digital assistant for workspace apps
Published 2022“…This project proposes a digital assistant to be used in Microsoft Teams for improving efficiency to complete an organization’s task using Teams workspace, by simplifying and giving advisory on steps required to complete a task and automating repetitive tasks. AI and algorithms will be implemented in this project for the digital assistant can have features of understanding towards human’s commands and give suitable output for those commands, to further predict and suggest the future command or possible step may need to be done by the users. …”
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Final Year Project / Dissertation / Thesis -
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Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC)...
Published 2019“…In this research work, a new framework is proposed for model training and evaluation for the machine learning application in semiconductor test with objective to screen bad die using machine learning before die attachment to package. …”
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Selective opposition based constrained barnacle mating optimization: Theory and applications
Published 2024“…After that, it is put through its paces in a real-world case study, where it proves to be superior to the most cutting-edge algorithms available.…”
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Improving fish feeding system in aquaponic performance
Published 2024“…There remains ample potential to build on this foundation using techniques such as machine learning algorithms to analyze trends in sensor data and initiate condition adjustments. …”
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Undergraduates Project Papers -
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Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
Published 2017“…In conclusion, developed SDM model is recommended for long-term planning of solid waste management and to produce suitability maps for new landfill sites.…”
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Thesis -
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