Search Results - (( java implementation tree algorithm ) OR ( waste validation learning algorithm ))
Search alternatives:
- java implementation »
- implementation tree »
- validation learning »
- learning algorithm »
- waste validation »
- tree algorithm »
-
1
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text
Article -
2
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
Get full text
Get full text
Get full text
Thesis -
3
IoT-Enabled Waste Tracking and Recycling Optimization : Enhancing Sustainable Waste Management
Published 2025“…In conclusion, this project validates the feasibility of integrating IoT and machine learning to optimize waste management. …”
Get full text
Get full text
Get full text
Proceeding -
4
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
Get full text
Get full text
Thesis -
5
Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques
Published 2022“…This is because the users will learn how much energy they have wasted as a result of these actions, as well as what the company should do to limit the amount of energy lost. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
6
A stacked ensemble deep learning model for water quality prediction / Wong Wen Yee
Published 2023“…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
Sales prediction for Adha Station by using predictive analytics
Published 2025“…This research presented a technique for projecting sales utilising current data through a machine learning algorithm. The CRISP-DM approach was employed to execute the project across the phases of business understanding, data preparation, modelling, assessment, and deployment. …”
Get full text
Get full text
Student Project -
8
A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients
Published 2024“…Fourteen studies published from 2018 to 2024 were reviewed in the systematic review to learn how AI technology was incorporated to improve care for CKD patients. …”
Get full text
Get full text
Get full text
Article -
9
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.…”
Get full text
Get full text
Thesis -
10
PREDICTIVE MODELING OF DIMENSIONAL ACCURACIES IN 3D PRINTING USING ARTIFICIAL NEURAL NETWORK
Published 2024“…Experimental data consisting of 27 sets of control parameters and corresponding dimensional outputs were used to train and validate the ANN model. The ANN model was developed using MATLAB software, employing training functions and learning algorithms to optimize the neural network architecture. …”
Article -
11
Predictive modeling of dimensional accuracies in 3D printing using artificial neural network
Published 2023“…Experimental data consisting of 27 sets of control parameters and corresponding dimensional outputs were used to train and validate the ANN model. The ANN model was developed using MATLAB software, employing training functions and learning algorithms to optimize the neural network architecture. …”
Get full text
Get full text
Get full text
Article
