Search Results - Power based optimization detection model

Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory by Salleh N.S.M., Saripuddin M., Suliman A., Jorgensen B.N.

A hybrid particle swarm optimization - extreme learning machine approach for intrusion detection system by M.H., Ali, Mohamad, Fadlizolkipi, Ahmad Firdaus, Zainal Abidin, Nik Zulkarnaen, Khidzir

“…Our propose model has been apple based as intrusion detection and validated based on NSL-KDD data set. …”
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Fault Detection and Diagnosis of Industrial Robot Based on Power Consumption Modeling by Sabry A.H., Nordin F.H., Sabry A.H., Abidin Ab Kadir M.Z.

A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System by Khaleefah, Shihab Hamad, A. Mostafa, Salama, Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Yaacob, Siti Salwani, Alanda, Alde

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A deep learning-based fault detection and classification in smart electrical power transmission system by Khaleefah, Shihab Hamad, Mostafa, Salama A., Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Siti Salwani, Yaacob, Alanda, Alde

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Data Encryption-Enabled Cloud Cost Optimization and Energy Efficiency-Based Border Security Model by Alomari M.F., Mahmoud M.A., Yusoff Y.B., Gharaei N., Abdalla R.A., Gunasekaran S.S.

“…To this end, we present a data encryption-enabled cloud cost optimization and energy efficiency-based innovative border security model. …”

Unleashing the power of Manta Rays Foraging Optimizer: A novel approach for hyper-parameter optimization in skin cancer classification by Adamu, Shamsuddeen, Alhussian, Hitham, Aziz, Norshakirah, Abdulkadir, Said Jadid, Alwadin, Ayed, Abdullahi, Mujaheed, Garba, Aliyu

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A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System by Khaleefah S.H., Mostafa S.A., Gunasekaran S.S., Khattak U.F., Yaacob S.S., Alanda A.

Vehicle detection method based on optimised YOLOV7 lightweight model / Johan Lela Andika Johan Budiman by Johan Lela Andika, Johan Budiman

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A fast learning network with improved particle swarm optimization for intrusion detection system by Ali, Mohammed Hasan

“…The focus of this research is on the development of a model that can optimize the initial parameters of FLN based on MRPSO to obtain an optimal set of initial parameters for FLN, thus, creating an optimal FLN classifier named as MRPSO-FLN which can improve the efficacy of network intrusion on data sets that contain instances of multiple classes of attacks. …”
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Overhead view based person counting using deep learning by Kaw, Chee Zhao

“…Based on the results obtained, the YOLOv4- tiny model is chosen as it can achieve high fps without the need of high processing power. …”
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Dual search maximum power point algorithm based on mathematical analysis under partially-shaded conditions by Hajighorbani, Shahrooz

“…In the first group, the conventional techniques are combined with other techniques and the second group is based on the optimization methods. One of the main challenges of MPPT techniques under PSCs is ability of the algorithms to find the GMPP faster with minimal oscillation in power. …”
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Development Of An Intelligent Controller For Solid State Fault Current Limiter by Nur Asyikin Binti Ghazali

“…The modelling device for SSFCL of FLC is based on graphic models using simulation program SIMULINK/MATLAB. …”

Exploring the optimal potential of transient reflection method through mel-frequency ceptrums coefficient and artificial neural network for leak detection and size estimation in wa... by Muhammad Hanafi, Yusop

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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines by Aker, Elhadi Emhemed Alhaaj Ammar

“…The computational complexity and mathematical formulation solutions are some limitations in optimizing the relay characteristic changes with changes in the system reactive power penetration for effective fault detection and isolations. …”
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Correlation analysis and predictive performance based on KNN and decision tree with augmented reality for nuclear primary cooling process / Ahmad Azhari Mohamad Nor by Mohamad Nor, Ahmad Azhari

“…Subsequently, predictive models employing k-nearest neighbour and decision tree algorithms are constructed and evaluated based on accuracy, precision, and recall metrics. …”
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Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee by Chong , Hue Yee

“…In this research work, the motivation is to develop an autonomous learning model based on the hybridization of an adaptive ANN and a metaheuristic algorithm for optimizing ANN parameters so that the network could perform learning and adaptation in a more flexible way and handle condition classification tasks more accurately in industries, such as in power systems. …”
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Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying by Khaw , Hui Ying

“…Unlike traditional methods that usually start with detection and followed by denoising, the model initially leverages the powerful ability of deep CNN architecture to separate noise from noisy image, then adopts PSO to pinpoint the most optimized threshold values for detecting impulse noisy pixels. …”
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Optimize and deploy machine learning algorithms on embedded devices for manufacturing applications by Teoh, Ming Xue

“…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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Smart and Green Street Lighting System based on arduino and RF wireless module by Jabbar, Waheb A., Muhamad Aznawi, Yuzaidi, Kong, Qi Yan, Ummu Sakinah, Mohd Bustaman, Hashim, Yasir, AlAriqi, Hani Taha

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