Search Results - ((waste classification) OR (based classification))

An internet of things based for smart recycle waste classification / Akmal Md Nasir by Md Nasir, Akmal

“…To accurately categorise waste into the categories of metal, paper, plastic, and maybe other waste types, the system uses an image classification model based on the ResNet algorithm. …”
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Recyclable waste classification using YOLO-based Convolutional Neural Network (CNN) / Shaharil Armin Sharizal by Sharizal, Shaharil Armin

“…This model achieved, by and large, over 90% classification accuracy in distinguishing between plastic, paper, and glass waste types. …”
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Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran by Amran, Aiman Syafwan

“…In Malaysia, the traditional approach to recycle waste detection and classification primarily relies on manual sorting and visual inspection by waste management personnel. …”
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Automated recyclable waste classification using multiple shape-based properties and quadratic discriminant by Mustaffa, Mas Rina, Nasharuddin, Nurul Amelina, Hussin, Masnida, Mohd Nazri, Nur Izzahtul Nabilah, Zakaria, Alya Hidayah, Nik Ahmad Zamri, Nik Nur Ellya Arisha

“…Our findings have shown that the waste classification prototype is able to effectively categorise waste up to 94.4% accuracy based on the proposed shape representation and Quadratic Discriminant classifier.…”
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ESS-IoT: The Smart Waste Management System for General Household by Wong S.Y., Han H., Cheng K.M., Koo A.C., Yussof S.

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Recyclable waste separation system based on material classification using weight and size of waste by Midi, Nur Shahida, Rahmad, Muhammad Aizat, Yusoff, Siti Hajar, Mohamad, Sarah Yasmin

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Mixed waste classification based on vision inspection / Hassan Mehmood Khan by Hassan Mehmood , Khan

“…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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Performance Review of Modern AI Algorithms Utilized for Medical Waste Sorting Works by Moktar M.H., Hajjaj S., Mohamed H., Weng L.Y.

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A comparison of machine learning methods for knowledge extraction model in A LoRa-Based waste bin monitoring system by Zaenal Abidin, Aa Zezen, Othman, Mohd Fairuz Iskandar, Hassan, Aslinda, Murdianingsih, Yuli, Suryadi, Usep Tatang, Siallagan, Timbo Faritchan

“…Knowledge Extraction Model (KEM) is a system that extracts knowledge through an IoT-based smart waste bin emptying scheduling classification. …”
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Real time waste material detection using region-based convolutional neural network (RCNN) / Mohammad Aiman Haziq Mohd Hudzir by Mohd Hudzir, Mohammad Aiman Haziq

“…In this research, a real time waste material detection using Region-based Convolutional Neural Network (RCNN) is developed. …”
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IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management by Eugine Teh, Yin Jie, Chee Soon, Chong, Rozaimi, Ghazali, Hazriq Izzuan, Jaafar, Muhamad Fadli, Ghani, Howe Cheng, Teng, Nur Farhanah, Zulkipli, Siaw Hong, Liew

“…The methodology integrates IoT technology and machine learning to tackle waste classification and collection inefficiencies. …”
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Accuracy study of image classification for reverse vending machine waste segregation using convolutional neural network by Mohd Azam, Sazuan Nazrah, Tan, Hor Yan, Md Sani, Zamani, Azizan, Azizul

“…This study aims to create a sorting system with high accuracy that can classify various beverage containers based on types and separate them accordingly. This reverse vending machine (RVM) provides an image classification method and allows for recycling three types of beverage containers: drink carton boxes, polyethylene terephthalate (PET) bottles, and aluminium cans. …”
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Classification model for water quality using machine learning techniques by Azilawati, Rozaimee, Azrul Amri, Jamal, Azwa, Abdul Aziz

“…This article proposes a suitable classification model for classifying water quality based on the machine learning algorithms. …”
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Design and fabrication of an automatic classifying smart trash bin based on Internet of Things by Sun, Bo, Quanjin, Ma, Zhu, Guangxu, Yao, Hao, Yang, Zidong, Da Peng, , Mohd Ruzaimi, Mat Rejab

“…Municipal solid waste (MSW) is an increasing waste resource and challenging task to solve environmental pollution and waste collection problems. …”
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Non-destructive Classification of Harvested Terung Asam (Solanum lasiocarpum Dunal.) Utilising Thermal Imaging and Machine Learning Across Different Storage Days by Sophia Ann, Suring, Bernard, Maringgal, Surisa, Phornvillay, Norhashila, Hashim, Maimunah, Mohd Ali

“…This study underlines thermal imaging as a reliable, non-invasive tool for post-harvest classification of Terung Asam fruit, improving storage monitoring and reducing waste. …”
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Non-destructive classification of harvested Terung Asam (Solanum lasiocarpum Dunal.) utilising thermal imaging and machine learning across different storage days by Suring, Sophia Ann, Maringgal, Bernard, Phornvillay, Surisa, Hashim, Norhashila, Mohd Ali, Maimunah

“…This study underlines thermal imaging as a reliable, non-invasive tool for post-harvest classification of Terung Asam fruit, improving storage monitoring and reducing waste. …”
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An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification by Wan Azman,, Wan Nur Fadhlina Syamimi, Ku Azir, Ku Nurul Fazira, Mohd Khairuddin, Adam

“…The data from the gas sensors was analysed using machine learning methods, namely Random Forest, k-nearest Neighbors, Support Vector Machine, and Linear Discriminant Analysis. Based on the results, a multi-classification technique yielded a greater accuracy rate in classifying and identifying the level of contamination in the cooked food leftovers, with average accuracy ranging from 90 percent to 100 percent. …”
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Wood defect identification using convolutional neural network features with support vector machine classifier by Ali, Martina

“…The method was evaluated based on classification accuracy and statistical validation. …”
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Classification of importance data for congestion control in remote health monitoring system by Wan Aida Nadia, W.A., Naimah, Y., R.Badlishah, A., Siti Asilah, Y.

“…This method is tested and simulated in Network Simulator (NS-2) tool which transmit medical data according to their classification based on level of importance.…”
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Waste level detection and HMM based collection scheduling of multiple bins by Aziz, Fayeem, Arof, Hamzah, Mokhtar, Norrima, Shah, Noraisyah Mohamed, Khairuddin, Anis Salwa Mohd, Hanafi, Effariza, Abu Talip, Mohamad Sofian

“…In this paper, an image-based waste collection scheduling involving a node with three waste bins is considered. …”
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