Search Results - (( re evaluation tree algorithm ) OR ( panel automation system algorithm ))*

Integration Of Machine Vision In Industrial Robot For Automated Composite Panel Punching by Mohamed Hanafee, Ameer Mohamed Abdeel Aziz

“…Position and rotation of panels are compared to three coordinate systems which are camera, workpiece and machining center. …”
Get full text
Get full text

Automated dual-axis solar tracking system based on astronomical equation and global positioning system by Mohd Sidek, Mohd Hasimi

Get full text
Get full text

The implementation of fault management in distribution system using distribution automation system (DAS) in conjunction with SCADA by Ab Ghani, Mohd Ruddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar, Baharudin, Zikri Abadi, Wan Jusoh, Wan Nor Shela Ezwane

“…Therefore, the implementation of proper fault management is highly important to be utilized such as by applying automation system in distribution system. Up to date, in Malaysia there is no automation technique being used for maintenance work in distribution system. …”
Get full text
Get full text

A real-time integrated fire detection and alarm (FDA) system for network based building automation by Anwar, Farhat, Islam, Rounakul, Hussain, Sabahat, Rashid, Muhammad Mahbubur, Shaikh, Zuhaib

“…This work proposes an improved framework for FDA system to ensure a robust, intelligent network of FDA control panels in real-time. …”
Get full text
Get full text
Get full text

Network-based real-time integrated Fire Detection and Alarm (FDA) system with building automation by Anwar, Farhat, Boby, Rounaqul Islam, Rashid, Muhammad Mahbubur, Alam, Md. Monjurul, Shaikh, Z.

“…This work proposes an improved framework for FDA system to ensure a robust intelligent network of FDA control panels in real-time. …”
Get full text
Get full text
Get full text
Get full text

Implementation of hashed cryptography algorithm based on cryptography message syntax by Ali, Mohammed Ahnaf

“…The important study in this research is an automated learning system for deep learning to enhance security. …”
Get full text
Get full text
Get full text
Get full text

Advanced solar tracking system with temperature control and real-time monitoring by Mahmuddin, Shohibul Syahmi, Nordin, Siti Aminah, Azli, Shakira Azeehan, Mohamad, Nurul Nadia

“…These algorithms dynamically control the servo motor, relay module, and LCD display, adapting the system based on environmental conditions. …”
Get full text
Get full text

An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease by Haruna, A.A., Muhammad, L.J., Yahaya, B.Z., Garba, E.J., Oye, N.D., Jung, L.T.

“…This research used an im-proved C4.5 data mining algorithm for the diagnosis of CAD. A performance evaluation of the improved algorithm was carried out against the traditional C4.5 Algorithm. …”
Get full text
Get full text

Prediction of COVID-19 patient using supervised machine learning algorithm by M., Buvana, K., Muthumayil

Get full text
Get full text
Get full text

Customer behavior analysis based on purchasing history and reviews using automated decision-making systems by Allur, Naga Sushma, Deevi, Durga Praveen, Dondapati, Koteswararao, Chetlapalli, Himabindu, Kodadi, Sharadha, Perumal, Thinagaran

“…According to the provided tables, the proposed methods (KNN and ADMS) outperform the other algorithms (ID3, Decision Tree, and Logistic Regression) across a range of customer review counts in terms of accuracy (98.95%), precision (94.62%), recall (99.24%), and F1-score (96.87%) while processing customer reviews more quickly (0.063). …”
Get full text
Get full text

Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

“…In the next step, noise and roof errors were removed using KNN filter and a new network was created and re-evaluated based on the shortest distance in the LiDAR point cloud to create an integrated DTM. …”
Get full text
Get full text
Get full text

Factors with retirement behaviour among retirees and pre-retirees identified with a machine learning method / Muhammad Aizat Zainal Alam by Muhammad Aizat , Zainal Alam

“…This study uses 3,067 responses which are then be coupled with a machine learning methodology (ranging from Naïve Bayesian, Generalised Linear Model, Logistic Regression, Artificial Neural Network, Decision Tree, Random Forest, and Gradient Boosted Trees) via RapidMiner Studio to expand the understanding of how categories of wealth and expenditures can affect retirement behaviour, given the increasingly important role of machine learning algorithms within the context of behavioural economics where it has been demonstrated to describe patterns and relationships in behavioural data better than standard statistical analysis. …”
Get full text
Get full text
Get full text

State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model by Dickson Neoh Tze How, Dr.

“…To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”

Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes—Open source development by Poh, A.H., Moghavvemi, Mahmoud, Leong, C.S., Lau, Yee Ling, Ghandari, A.S., Apau, A., Adikan, Faisal Rafiq Mahamd

“…Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. …”
Get full text
Get full text
Get full text