Search Results - (( waste detection algorithm ) OR ( waste ((selection algorithm) OR (evolutionary algorithm)) ))
Search alternatives:
-
1
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. Afterward evolutionary algorithm (EA) was employed to prioritize test cases based on the rate severity of fault detection per unit test cost. …”
Get full text
Get full text
Thesis -
2
Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
Published 2017“…The model output optimisation by genetic algorithm (GA) produces higher biogas production compared to the optimisation using statistical methods. …”
Get full text
Get full text
Thesis -
3
Wind power forecasting with metaheuristic-based feature selection and neural networks
Published 2024“…Specifically, five distinct algorithms - Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Teaching-Learning-Based Optimization (TLBO), and Evolutionary Mating Algorithm (EMA) - are integrated with NN model to identify optimal feature subsets from a comprehensive dataset of 18 diverse features. …”
Get full text
Get full text
Get full text
Article -
4
Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm
Published 2020“…This system enables the logistic company to arrange its route to deliver based on the number of trucks selected by the user. This system will first cluster those addresses based on the number of trucks involved and then perform the route optimization algorithm to suggest the shortest route to the user. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
5
Evaluating endpoint detection algorithms for isolated word from Malay parliamentary speech
Published 2023“…Proper estimation of the start and end of the speech (versus silence or background noise) avoids the waste of speech recognition evaluations on preceding or ensuing silence. …”
Conference paper -
6
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…The proposed deep learning model renders faster without the use of SMOTE. Any resampling algorithm is not a necessity in the case of this proposed algorithm. …”
Get full text
Get full text
Get full text
Thesis -
7
-
8
Integrated immune-commensal-evolutionary programming for economic dispatch and distributed generation installation / Mohd Helmi Mansor
Published 2020“…ICEP is developed from the hybridization of three independent optimization techniques, namely Symbiotic Organisms Search (SOS), Artificial Immune System (AIS) and Evolutionary Programming (EP). EP is the leading optimizer of the hybrid algorithm while cloning operator of AIS and commensal operator of SOS are adopted into the EP algorithm to improve its performance. …”
Get full text
Get full text
Thesis -
9
Real-time intelligent recycle waste detection and classification using you only look once version 5 / Aiman Syafwan Amran
Published 2023“…In Malaysia, the traditional approach to recycle waste detection and classification primarily relies on manual sorting and visual inspection by waste management personnel. …”
Get full text
Get full text
Thesis -
10
Performance Review of Modern AI Algorithms Utilized for Medical Waste Sorting Works
Published 2025Subjects:Conference paper -
11
-
12
Optimising a waste management system using the Artificial Bee Colony (ABC) algorithm
Published 2025“…The ABC algorithm was selected due to its strong global search capabilities, simple structure and ability to balance between exploration and exploitation. …”
Get full text
Get full text
Student Project -
13
A hybrid P-graph and WEKA approach in decision-making: waste conversion technologies selection
Published 2022“…The focus of user interface for selection of waste conversion technologies. As a result, the model can be used to determine the best municipal solid waste conversion technology.…”
Get full text
Get full text
Article -
14
RGB and RGNIR image dataset for machine learning in plastic waste detection
Published 2025“…In total, there are 1,344 plastic waste objects that have been annotated. The proposed dataset offers a unique resource for researchers to train machine learning models for plastic waste detection. …”
Get full text
Get full text
Get full text
Article -
15
Design of smart waste bin and prediction algorithm for waste management in household area
Published 2018“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
Get full text
Get full text
Get full text
Get full text
Article -
16
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…Exploring the app's state extensively requires long event sequences to find the correct combination of actions, leading to excessively long transitions and wasted time. Such tools must choose not only which user interface element to interact with, but also which type of action to be performed to increase the percentage of code coverage and to detect faults with a limited time budget. …”
Get full text
Get full text
Get full text
Thesis -
17
An Embedded Machine Learning-Based Spoiled Leftover Food Detection Device for Multiclass Classification
Published 2024“…Several studies have examined the factors influencing food waste behaviour and management. This work was motivated by the lack of previous research on machine learning and electronic noses to detect contamination from leftover cooked food. …”
Get full text
Get full text
Get full text
Get full text
Article -
18
Automation of plastic waste sorting through robotic technology
Published 2025“…A YOLOv8 deep learning model, trained on a custom dataset of waste images, was integrated with the ByteTrack algorithm to provide real-time object detection and tracking. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
19
IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…A Convolutional Neural Network (CNN) trained on a dataset of aluminium cans and plastic bottles is deployed for waste identification. Real-time monitoring is enabled by IoT sensors and machine vision algorithms, facilitating precise detection of waste levels and material types. …”
Get full text
Get full text
Get full text
Proceeding -
20
