Search Results - (( rate detection algorithm ) OR ( waste optimization algorithm ))
Search alternatives:
-
1
IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…Advanced data preprocessing, such as augmentation and normalization, ensures robust model training, while optimized algorithms guide waste sorting based on classification results. …”
Get full text
Get full text
Get full text
Proceeding -
2
Capacitated vehicle-routing problem model for scheduled solid waste collection and route optimization using PSO algorithm
Published 2023“…Costs; Efficiency; Routing algorithms; Scheduling; Solid wastes; Vehicle routing; Capacitated vehicle routing problem; Modified particle swarm optimization; Optimized models; Route optimization; Solid waste collection; Threshold waste level; Travel distance; Waste collection; Particle swarm optimization (PSO); fuel; algorithm; numerical model; optimization; routing; solid waste; transport vehicle; waste disposal; algorithm; Article; capacitated vehicle routing problem model; controlled study; cost; decision making; environmental impact; motor vehicle; nonbiological model; particle swarm optimization algorithm; priority journal; problem solving; process optimization; socioeconomics; solid waste management; travel; validation process; economics; solid waste; waste management; Algorithms; Costs and Cost Analysis; Solid Waste; Waste Management…”
Article -
3
Backtracking search algorithm in CVRP models for efficient solid waste collection and route optimization
Published 2023“…Bins; Budget control; Carbon dioxide; Cost reduction; Costs; Crashworthiness; Efficiency; Environmental impact; Fuels; Learning algorithms; Optimization; Solid wastes; Vehicle routing; Backtracking search algorithms; Capacitated vehicle routing problem; Environmental emissions; Optimization modeling; Route optimization; Solid waste collection; Threshold waste level; Waste collection; Waste management; fuel; carbon dioxide; solid waste; algorithm; fuel consumption; modeling; optimization; solid waste; threshold; waste management; algorithm; Article; backtracking search algorithm; capacitated vehicle routing problem model; carbon footprint; controlled study; environmental impact assessment; feasibility study; limit of quantitation; measurement precision; process model; process optimization; solid waste collection; solid waste management; motor vehicle; procedures; solid waste; theoretical model; waste disposal; Algorithms; Carbon Dioxide; Models, Theoretical; Motor Vehicles; Refuse Disposal; Solid Waste…”
Article -
4
Evolutionary cost-cognizant regression test case prioritization for object-oriented programs
Published 2019“…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 -
5
Model optimization using artificial intelligence algorithms for biological food waste degradation
Published 2020“…Food waste is categorized as the largest degradable component in the waste stream. …”
Get full text
Get full text
Get full text
Get full text
Book Chapter -
6
Dijkstra’s Algorithm for optimal recyclable waste collection system in Port Dickson / Nur Jazlina Mohd Iszairi, Aina Zulaika Md Ramli and Nursabrina Saifulbahri
Published 2023“…A practical recyclable waste collection system would optimize the Waste Management System (WMS), especially in route choice from Depot to each drop-off collection center. …”
Get full text
Get full text
Student Project -
7
Finding An Alternative Routing For Solid Waste Management
Published 2020“…In this research, Dijkstra Algorithm and Travelling Salesman Problem (TSP) using GIS Software 10.1 were used to optimize the route from Seberang Perai Industrial area to Ampang Jajar waste transfer station. …”
Get full text
Get full text
Thesis -
8
Machine learning algorithms in context of intrusion detection
Published 2016“…The result shows that not a single algorithm has a high detection rate for each class of KDD99 dataset. …”
Get full text
Get full text
Conference or Workshop Item -
9
Ant Colony Optimization for Solving Solid Waste Collection Scheduling Problems
Published 2009“…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. …”
Get full text
Get full text
Get full text
Article -
10
Ant colony optimization for solving solid waste collection scheduling problems
Published 2009“…Approach: The implementation of Ant Colony Optimization (ACO) for solving solid waste collection problem as a VRPSD model was described. …”
Get full text
Get full text
Get full text
Article -
11
Smart Routing For Solid Waste Collection
Published 2023“…This project aims to design and develop a route optimization and decision support system for solid waste collection in Malaysia. …”
Get full text
Get full text
Get full text
Final Year Project Report / IMRAD -
12
Optimization of food waste to sewage sludge ratio for anaerobic co-digestion process using Artificial Neural Network (ANN) and Genetic Algorithm (GA)
Published 2021“…The trained ANN model was coupled with GA to optimize the methane production and to find the optimal feedstock ratio. …”
Get full text
Get full text
Get full text
Article -
13
Efficient Model for Waste Load and Route Optimization
Published 2024“…The model utilizes machine learning techniques to forecast the quantity of waste collected by GPTs. We have created an optimization algorithm that usesthe forecast outcome from a prior research dataset. …”
Get full text
Get full text
Get full text
Article -
14
Novel approach for IP-PBX denial of service intrusion detection using support vector machine algorithm
Published 2021“…For CICIDS dataset, SVM algorithm achieved highest detection rate of 76.47% while decision tree and Naïve Bayes has 63.71% & 41.58% of detection rate, respectively. …”
Get full text
Get full text
Get full text
Get full text
Article -
15
Comparison of supervised machine learning algorithms for malware detection / Mohd Faris Mohd Fuzi ... [et al.]
Published 2023“…Then, the percentage of detection accuracy was used to compare the detection performance of all five algorithms. …”
Get full text
Get full text
Get full text
Article -
16
Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…Besides that, a comparison is made with Cumulative Sum, Exponentially-weighted Moving Average, and Multi Layer Perceptron.From the experiment, the best parameter setting for anthrax outbreak using dendrite cell algorithm is identified whereby it proven can helps the model to produce a good detection result between detection rate and false alarm rate.Since each outbreak disease carries different outbreak characteristic, the parameter setting for different outbreak might be different.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…Experimental results show the proposed technique increases accuracy classification percentage up to 99.95%; and the minimum number of bins determine good discretization algorithm. Consequently, attack detection rate increases and false positive alarm rate minimizes. …”
Get full text
Get full text
Thesis -
18
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Algorithms for building detection models are usually classified into two categories: misuse detection and anomaly detection. …”
Get full text
Get full text
Thesis -
19
Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…Experimental results illustrate that RNSA and V-Detector algorithms are suitable for the detection of anomalies, with SVM and KNN producing significant efficiency rates and increase in execution time. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
20
Improving intrusion detection using genetic algorithm
Published 2013“…The experimental results demonstrate that the proposed approach outperforms the existing techniques, with the detection rate of attack and false alarm rates of 95.7265 and 4.2735, respectively. …”
Get full text
Get full text
Get full text
Article
