Search Results - (( model evaluation model algorithm ) OR ( parameters automation system algorithm ))*

Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Nurnajmin Qasrina Ann, ., Pebrianti, Dwi, Mohammad Fadhil, Abas, Bayuaji, Luhur

“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper-parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
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Automated-tuned hyper-parameter deep neural network by using arithmetic optimization algorithm for Lorenz chaotic system by Ayop Azmi, Nurnajmin Qasrina Ann, Pebrianti, Dwi, Abas, Mohammad Fadhil, Bayuaji, Luhur

“…Deep neural networks (DNNs) are very dependent on their parameterization and require experts to determine which method to implement and modify the hyper-parameters value. This study proposes an automated-tuned hyper�parameter for DNN using a metaheuristic optimization algorithm, arithmetic optimization algorithm (AOA). …”
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Forward-Backward Time Stepping with Automated Edge-preserving Regularization Technique for Wood Defects Detection by Yong, Guang

“…Therefore, two automated procedures are developed to determine these parameters iteratively. …”
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Reactive approach for automating exploration and exploitation in ant colony optimization by Allwawi, Rafid Sagban Abbood

“…Ant colony optimization (ACO) algorithms can be used to solve nondeterministic polynomial hard problems. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

“…On the other hand, network compression and acceleration techniques such as pruning and quantization also been the focus of the studies for light-weight algorithms in embedded system. While in our studies, we primarily focusing on the deployment and fine-tuning of deep learning model which is YOLOv5 for PCB defects detection. …”
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Customer analysis with machine vision by Tiong, Wei Jie

“…These cartoons may be human-like stickers that are placed around retail shops, and false detection may result in inaccurate customer analysis. To evaluate the performance of existing detection models, metrics such as accuracy, precision, recall, F1 score, false detection rate, model size, and parameters are used. …”
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Classification of diabetic retinopathy clinical features using image enhancement technique and convolutional neural network / Abdul Hafiz Abu Samah by Abu Samah, Abdul Hafiz

“…In general, this thesis introduces an automated machine learning algorithm for detecting diabetic retinopathy (DR) in fundus images. …”
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Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

“…The comparisons were performed using well known model evaluation parameters. Results showed that deep representations are a promising feature in engineering replacement to develop anomaly detection models for IT infrastructure security. …”
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Adaptive linux-based TCP congestion control algorithm for high-speed networks by Alrshah, Mohamed A.

“…Second, to study the impact of ʎmax parameter on the throughput and epoch time. Third, to formulate an equation to automate the configuration of ʎmax parameter in order to increase the scalability of AF-based CCA. …”
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Stereo Camera-Based Aerial Target Geolocation in a Ground-Based Platform Environment by Amir Hilmi Bin Ahmad Azizi

Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Real-time oil palm fruit bunch ripeness grading system using image processing techniques by Alfatni, Meftah Salem M.

“…Furthermore, the grading system graded the oil palm FFB ripeness based on three different models. …”
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Improved criteria determination of an automated negative lightning return strokes characterisation using Brute-Force search algorithm by Abdul Haris, Faranadia

“…Accordingly, the proposed Brute-Force search algorithm characterised the negative lightning return strokes parameters based on the seven parameters. …”
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Spectral and prosodic feature extractions for classical Arabic accents recognition among Malay speakers / Noor Jamaliah Ibrahim by Noor Jamaliah , Ibrahim

“…Our aim was to make use of the Gaussian Mixture Models-Universal Background Model (GMM-UBM) for automated classification of speech and make comparison with the conventional Gaussian Mixture Model (GMM). …”
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Video Surveillance Image Enhancement Using Deep Learning by Aminudin, Muhamad Faris Che

“…In conventional image enhancement, each approach could only solve one problem at a time and the parameters need to be changed for each problem. This would cause difficulty in developing an automated system. …”
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Automated real-time electrocardiogram diagnosis based on the modified Pan-Tompkins algorithm for long-term monitoring systems by Gerasimova, Yuliya, Sidi, Fatimah, Ivel, Victor, Avdeyev, Vladimir, Abdullah, Lili Nurliyana, Moldakhmetov, Sayat

“…A modified Pan-Tompkins algorithm for determining the boundaries of the QRS system has been developed. …”
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Performance optimization of simultaneous machine and automated guided vehicle scheduling using fuzzy logic controller based genetic algorithm. by Sulaiman, Shamsuddin, Mohd Ariffin, Mohd Khairol Anuar, Badakshian, Mostafa

“…It comprises three principle elements: computer controlled machinetools, an automated material handling system and a computer control system. …”
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Automated Model Generation Approach Using MATLAB by Xia, Likun

“…Model generators can also be categorized into the black, grey or white box approaches, depending on the level of existing knowledge of the system’s structure and parameters. The aim of the chapter is to introduce a self-tuning algorithm (i.e., AMG) using MATLAB for automated analogue circuit modelling suitable for HLM and HLFM applications. …”
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New design approach to MIMO nonlinear controller for direct expansion air conditioning system in building automation system by Behrooz, Farinaz, Mariun, Norman, Marhaban, Mohammad Hamiruce, Mohd Radzi, Mohd Amran, Ramli, Abdul Rahman

“…Designing the suitable fuzzy cognitive map (FCM) controller on air conditioning system could increase more energy efficiency and also more energy saving in building automation system. …”
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall by Mustafa, M.R., Rezaur, R.B., Saiedi, Saied, Rahardjo, H., Isa, M.H.

“…The performance of four artificial neural network (ANN) training algorithms was evaluated to identify the training algorithm appropriate for modeling the dynamics of soil pore-water pressure responses to rainfall patterns using multilayer perceptron (MLP) ANN. …”
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