Search Results - (( waste evaluation system algorithm ) OR ( java implication based algorithm ))
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Smart Routing For Solid Waste Collection
Published 2023“…The algorithm will be evaluated through simulations and field testing in a residential area in Kuching. …”
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Final Year Project Report / IMRAD -
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Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran
Published 2023“…The object detection and classification algorithm achieved 91.9% mean average precision in metric evaluation. …”
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Thesis -
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ESS-IoT: The Smart Waste Management System for General Household
Published 2024“…An experiment is conducted to evaluate the accuracy of the two classification algorithms in classifying various types of waste. …”
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Evaluating power efficient algorithms for efficiency and carbon emissions in cloud data centers: a review
Published 2015“…To minimize the power wasted by data center cooling systems is directly related to data center location and climate change. …”
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A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection
Published 2022“…Then, using the WEKA software, the data from the feasible structure would be processed and evaluated using the chosen algorithm. The J48 is the best model for equipment selection using an 80:20 ratio train and test learning technique in WEKA. …”
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Development of intelligent evaluation system for product end-of-life selection strategy
Published 2011“…The main objective of this research is to develop an evaluation system for selecting EOL strategy specifically for remanufacturing. …”
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Thesis -
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Development of soft computing prediction model for the influent physicochemical characteristics of sewage treatment plants / Mozafar Ansari
Published 2021“…Therefore, it was recommended to collect wasted oil before entering the sewage system. …”
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Automation of plastic waste sorting through robotic technology
Published 2025“…This project presents the design, development, fabrication and evaluation of an automated waste sorting system integrating computer vision, robotic actuation and electronic control. …”
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Final Year Project / Dissertation / Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Predicting sanitary landfill leachate generation in humid regions using ANFIS modeling
Published 2018“…Leachate volume prediction is essential for sustainable waste management and leachate treatment processes. …”
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Fault location in unbalanced distribution system including distributed generation units using multi-layer feed forward neural network
Published 2014“…Fault location finding process in distribution network is totally different based on the application of developed algorithms for the transmission lines due to characteristics of distribution system. …”
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Thesis -
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Diabetic retinopathy pathological signs detection using image enhancement technique and deep learning / Abdul Hafiz Abu Samah …[et al.]
Published 2021“…Therefore, it is time-wasting and risky for humans to make mistake. In general, this paper introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. …”
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Determination of energy usage and potential environment impact (pei) of a vapor compression distillation system for production of water for injection (wfi) in pharmaceutical indust...
Published 2014“…The modelling result evaluate that the total energy consumption of WFI from VCD system is 53.07kWh. …”
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Undergraduates Project Papers -
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). The extracted features will be fed up into SLFN to classify the fault. …”
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Thesis -
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Fault classification in transmission line using single layer feed-forward network trained by extreme learning machine / Muhamad Azfar Abd Ghafar
Published 2015“…The SLFN is trained by an algorithm named Extreme Learning Machine (ELM). The extracted features will be fed up into SLFN to classify the fault. …”
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Student Project -
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Artificial neural network: physico-chemical and macronutrients in an aquaponic system / Qistina Khadijah Abd Rahman
Published 2020“…Aquaponics system which integrates conventional aquaculture and hydroponic in one closed-loop system plays a significant role as an alternative way to produce very least waste effluent to the environment by recycling back the nutrients (fish waste) for plant growth. …”
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Student Project -
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Artificial neural network: physico-chemical and macronutrients parameters in an aquaponic system / Qistina Khadijah Abd Rahman, T.s Mohamed Syazwan Osman and Dr Samsul Setumin
Published 2020“…Aquaponic system which integrates conventional aquaculture and hydroponic in one closed-loop system plays a significant role as an alternative way to produce very least waste effluent to the environment by recycling back the nutrients (fish waste) for plant growth. …”
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