Search Results - "Pauline Ong"

Adaptive Cuckoo Search Algorithm for Unconstrained Optimization by Ong, Pauline

“…Modification of the intensification and diversification approaches in the recently developed cuckoo search algorithm (CSA) is performed. The alteration…”
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A carnivorous plant algorithm for solving global optimization problems by Ong, Kok Meng, Ong, Pauline, Sia, Chee Kiong

“…In this study, a novel metaheuristic algorithm, namely, carnivorous plant algorithm (CPA), inspired by how the carnivorous plants adapting to survive in the…”
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UAV-based weed detection in Chinese cabbage using deep learning by Ong, Pauline, Teo, Kiat Soon, Sia, Chee Kiong

“…Weeds are unwanted plants on agricultural soil. They always competing for sunlight, nutrient, space and water with economic crops. Uncontrolled weed growth can…”
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Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream by Li, Xiuhua, Wang, Xiang, Ong, Pauline, Yi, Zeren, Ding, Lu, Han, Chao

“…Dragon fruit (Hylocereus undatus) is a tropical and subtropical fruit that undergoes multiple ripening cycles throughout the year. Accurate monitoring of the…”
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Excessive fatty acid oxidation induces muscle atrophy in cancer cachexia by Fukawa, Tomoya, Yan-Jiang, Benjamin Chua, Min-Wen, Jason Chua, Jun-Hao, Elwin Tan, Huang, Dan, Qian, Chao-Nan, Ong, Pauline, Li, Zhimei, Chen, Shuwen, Mak, Shi Ya, Lim, Wan Jun, Kanayama, Hiro-omi, Mohan, Rosmin Elsa, Wang, Ruiqi Rachel, Lai, Jiunn Herng, Chua, Clarinda, Ong, Hock Soo, Tan, Ker-Kan, Ho, Ying Swan, Tan, Iain Beehuat, Teh, Bin Tean, Shyh-Chang, Ng

“…Cachexia-inducing tumors release complex factors that promote the increased uptake and burning of fats by muscle, resulting in muscle atrophy—a process that…”
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Effective moving object tracking using modified flower pollination algorithm for visible image sequences under complicated background by Ong, Kok Meng, Ong, Pauline, Sia, Chee Kiong, Low, Ee Soong

“…In real time moving object tracking, various unconstraint factors such as severe occlusion and background clutter remain a challenge for developing an…”
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IMAGE-BASED OIL PALM LEAVES DISEASE DETECTION USING CONVOLUTIONAL NEURAL NETWORK by Ong, Jia Heng, Ong, Pauline, Woon, Kiow Lee

“…Over the years, numerous studies have been conducted on the integration of computer vision and machine learning in plant disease detection. However, these…”
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Vision-based path detection of an automated guided vehicle using flower pollination algorithm by Pauline Ong, Winson Kar Shen Tan, Ee Soong Low

“…The automated guided vehicle (AGV) with sensor recognition method is having shortcomings such as high cost and noise. In this regard, the flower pollination…”
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PARAMETRIC FLATTEN-T SWISH: AN ADAPTIVE NONLINEAR ACTIVATION FUNCTION FOR DEEP LEARNING by Chieng, Hock Hung, Wahid, Noorhaniza, Ong, Pauline

“…Activation function is a key component in deep learning that performs non-linear mappings between the inputs and outputs. Rectified Linear Unit (ReLU) has been…”
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Flatten-T Swish: a thresholded ReLU-Swish-like activation function for deep learning by Chieng, Hock Hung, Wahid, Noorhaniza, Pauline, Ong, Perla, Sai Raj Kishore

“…Activation functions are essential for deep learning methods to learn and perform complex tasks such as image classification. Rectified Linear Unit (ReLU) has…”
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Optimizing wavelet neural networks using modified cuckoo search for multi-step ahead chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

“…Determining the optimal number of hidden nodes and their proper initial locations are essentially crucial before the wavelet neural networks (WNNs) start their…”
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Solving the optimal path planning of a mobile robot using improved Q-learning by Low, Ee Soong, Ong, Pauline, Cheah, Kah Chun

“…Q-learning, a type of reinforcement learning, has gained increasing popularity in autonomous mobile robot path planning recently, due to its self-learning…”
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PULP AND PAPER FROM OIL PALM FRONDS: WAVELET NEURAL NETWORKS MODELING OF SODA-ETHANOL PULPING by Zainuddin, Zarita, Wan Daud, Wan Rosli, Ong, Pauline, Shafie, Amran

“…Wavelet neural networks (WNNs) were used to investigate the influence of operational variables in the soda-ethanol pulping of oil palm fronds (viz. NaOH…”
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training by Tan, Lee Sen, Zainuddin, Zarita, Ong, Pauline

“…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic…”
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Modified wavelet neural network in function approximation and its application in prediction of time-series pollution data by Zainuddin, Zarita, Pauline, Ong

“…Properly designing a wavelet neural network (WNN) is crucial for achieving the optimal generalization performance. In this paper, in order to improve the…”
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Modified Q-learning with distance metric and virtual target on path planning of mobile robot by Low, Ee Soong, Ong, Pauline, Low, Cheng Yee, Omar, Rosli

“…•We propose an improved Q-learning for path planning of mobile robot.•The ideas of distance metric, moving target and modified Q function is integrated.•The…”
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An effective fuzzy C-means algorithm based on symmetry similarity approach by Zainuddin, Zarita, Pauline, Ong

“…•We propose a novel similarity metric based on the concept of symmetry.•The similarity measure is integrated in the conventional fuzzy C-means algorithm.•The…”
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An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction by Ong, Pauline, Zainuddin, Zarita

“…Although the practicability of using wavelet neural networks (WNNs) in nonlinear function approximation has been addressed extensively, selecting the optimal…”
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Visible and near-infrared spectroscopic determination of sugarcane chlorophyll content using a modified wavelength selection method for multivariate calibration by Ong, Pauline, Jian, Jinbao, Li, Xiuhua, Yin, Jianghua, Ma, Guodong

“…[Display omitted] •Propose a modified regression coefficient (MRC) wavelength selection method.•Use MRC in near-infrared spectroscopy analysis for chlorophyll…”
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Reliable multiclass cancer classification of microarray gene expression profiles using an improved wavelet neural network by Zainuddin, Zarita, Ong, Pauline

“…► Studies were made on the proper initialization of wavelet neural networks (WNNs). ► A novel clustering algorithm was formulated and integrated in WNNs…”
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