Search Results - (( developing workplace selection algorithm ) OR ( java binary classification algorithm ))

An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In order to address the challenges that mentioned above in this study, in the first phase, a novel architecture based on ensemble feature selection techniques include Modified Binary Bat Algorithm (NBBA), Binary Quantum Particle Swarm Optimization (QBPSO) Algorithm and Binary Quantum Gravita tional Search Algorithm (QBGSA) is hybridized with the Multi-layer Perceptron (MLP) classifier in order to select relevant feature subsets and improve classification accuracy. …”
Get full text
Get full text

Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry by David Chua, Sing Ngie, Calvin Chin, Yen Chih, Lim, Soh Fong

“…Several network architectures were developed and the best model was selected for the risk exposure prediction of workers in the shipyard industry. …”
Get full text
Get full text
Get full text

Speed-up robust features based 3D object recognition for grasping by three fingered robot hand / Nurul Hanani Remeli by Remeli, Nurul Hanani

“…The information from the method with less detection error is later selected to calculate the object position. Next, the 3D position and grasping points of target object was determined by combining the recognised positions from two 2D SURF images and the triangulation method .The identified object grasping points were then converted to robot space using the robot’s transformation equation derived based on the locations and orientation of robot and camera in the 3D workplace. …”
Get full text
Get full text

Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…Developing automated systems to detect and identify protective equipment in working sites is not just a technical accomplishment but also a significant step towards improving the workplace, especially in high-risk areas like construction and manufacturing sites. …”
Get full text
Get full text
Get full text