Search Results - (( a distribution ((impact algorithm) OR (bat algorithm)) ) OR ( _ detection system algorithm ))

Adaptive load balancing algorithm for wireless distributed computing networks by Alfaqawi, Mohammed, Habaebi, Mohamed Hadi, Siddiqi, Mohammad Umar, Islam, Md. Rafiqul, Khan, Sheroz, Datla, Dinesh

“…Furthermore, the channel impact on the distributed tasks by ALB algorithm, in WDC-CRN, is investigated and benchmarked. …”
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An analysis of the effect of heterogeneously distributed inertia constant in generation mix power system by using the graph theory and Dijkstra’s Algorithm by Harshada Nerkar, Kundu, Prasanta, Chowdhury, Anandita

“…This paper incorporates the concept of graph theory in the IEEE 30 bus system to analyze the impact of heterogenous inertia distribution on frequency stability. …”
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm by Al-Jumaili A.H.A., Muniyandi R.C., Hasan M.K., Singh M.J., Paw J.K.S., Al-Jumaily A.

“…Additionally, tests demonstrate that combining canopy and the K-means algorithm to analyze data performs consistently and dependably on the Hadoop platform and has a clustering result that offers a scalable and effective solution for power system monitoring. ? …”

A new islanding detection technique based on passive parameter using a combination of artificial neural network and evolutionary programming algorithm / Hasmaini Mohamad …[et al.]... by Mohamad, Hasmaini, Ab Salam, Aimie Nadia, Md Razali, Norhasniza, Salim, Nur Ashida, Mat Yasin, Zuhaila

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PV fault classification: Impact on accuracy performance using feature extraction in random-forest cross validation algorithm by Muhamad Zahim, Sujod, Siti Nor Azlina, Mohd Ghazali, Mohd Fadzil, Abdul Kadir, Al-Shetwi, Ali Qasem

“…In light of the escalating global concerns regarding energy security and the irregular distribution of daily irradiance affecting photovoltaic (PV) system output, the demand for effective fault detection and diagnosis techniques in PV management systems is on the rise. …”
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Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data by Terence Chia Yi Kai, Agus Saptoro, Zulfan Adi Putra, King Hann Lim, Wan Sieng Yeo, Jaka Sunarso

“…Different lengths of snippets of sequence (or subsequence) would have a multitude of perspectives viewed by the deep learning algorithms, subsequently impacting their FDD performance. …”
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Omega grey wolf optimizer (ωGWO) for optimization of overcurrent relays coordination with distributed generation by Noor Zaihan, Jamal

“…The overall protection coordination is thus very complicated and could not be satisfied using the conventional method moreover for the modern distribution system. This thesis apply a meta-heuristic algorithm called Grey Wolf Optimizer (GWO) to minimize the overcurrent relays operating time while fulfilling the inequality constraints. …”
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Smart Microgrid approach for Distributed power generation of renewable energy by Khushi, Farha, Motakabber, S. M. A., Ahmed Hamida, Belal, Azman, Amelia Wong, Bhattacharjee, Amit

“…This research modelled a smart grid system combined with a faulty detection mechanism for an efficient mechanism to overcome uncertainties. …”
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Arcing Faults Detection in Switchgear with Extreme Learning Machine by Ishak S., Koh S.P., Tan J.D., Tiong S.K., Chen C.P., Yaw C.T.

Enhanced Image Classification for Defect Detection on Solar Photovoltaic Modules by Wiliani, Ninuk

“…Error-prone areas may be difficult to locate or recognise in a big solar photovoltaic module. A solar photovoltaic modules system can hide it until the whole system collapse or breakdown. …”
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An improved bat algorithm with artificial neural networks for classification problems by Rehman Gillani, Syed Muhammad Zubair

“…Therefore, in order to improve the exploration and exploitation behavior of bats, this research proposed an improved Bat with Gaussian Distribution (BAGD) algorithm that takes small step lengths and ensures convergence to global optima. …”
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Defect recognition method for magnetic leakage detection in oil and gas steel pipes based on improved neural networks by Wang Jie, Mohd. Kamal Mohd. Shah, Choong Wai Heng, Nahiyan Al-Azad

“…The aging infrastructure of petroleum and natural gas pipelines poses a threat to national economies, necessitating precise defect detection for safety and efficiency. To enhance the accuracy of predicting pipeline defect sizes, this study introduces a magnetic leakage detection system, employing Backpropagation (BP) neural networks optimized with genetic algorithms. …”
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Distributed Denial-of-Service Defense System by Hanasi, Lidiyawatie

“…Distributed denial-of-service (DoS) attacks present a great threat to the Internet, and existing security mechanisms cannot detect or stop them successfully. …”
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Optimal resource allocation for NOMA wireless networks by Albogamy, Fahad R., Aiyashi, M. A., Hashim, Fazirul Hisyam, Imran Khan, Choi, Bong Jun

“…Different power allocation techniques will have a direct impact on the system’s throughput. As a result, in order to boost the system capacity, an efficient power allocation mechanism must be investigated. …”
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

“…Therefore, to overcome these problems, this study proposed an improved dynamic load balancing technique known as HBAC algorithm which dynamically allocates task by hybridizing Artificial Bee Colony (ABC) algorithm with Bat algorithm. …”
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Fast-varying flicker mitigation using D-statcom and its identification / Nur Fadhilah Jamaludin by Jamaludin, Nur Fadhilah

“…The negative impact of power quality problem due to voltage flicker has gained a growing concern from utilities, especially in the areas of distribution planning. …”
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An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

“…As a result, Android botnet can be used to initiate various distributed coordinated attacks including spam emails, click frauds, bitcoins mining, distributed denial of service attacks disseminating other malware and much more. …”
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Application of slantlet transform based support vector machine for power quality detection and classification by Mohd Noh, Faridah Hanim, Miyauchi, Hajime, Yaakub, M. Faizal

“…To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. …”
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Application Of Slantlet Transform Based Support Vector Machine For Power Quality Detection And Classification by M. Noh, Faridah Hanim, Hajime, Miyauchi, Yaakub, Muhamad Faizal

“…To ensure the power supply is at the highest quality, an automatic system for detection and localization of PQ activities in power system network is required. …”
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A Symbol Recognition System for Single-Line Diagrams Developed Using a Deep-Learning Approach by Bhanbhro, H., Kwang Hooi, Y., Kusakunniran, W., Amur, Z.H.

“…Based on deep-learning techniques, a dataset can be used to assess the overall quality of a visual system. …”
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