Search Results - (( model validation study algorithm ) OR ( rate destination case algorithm ))

Early detection and mitigation of DDoS attacks in software defined networks by Al-Saadi, Mustafa Yahya Zakariya

“…Then the algorithm was tested with attack on one host and a sub net of six hosts with attack rates of25%, 50% and 75% for the first case and 50%, 75% attack rate for the subnet case. …”
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Traffic management algorithms for LEO satellite networks by Huyop @ Ayop, Fahrul Hakim

“…From the results, the proposed algorithms have managed to reduce the average delay rate for the high priority and UDP traffic. …”
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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm by Ariff Nijay, Ramli

“…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. …”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score by Mirza Rizwan, Sajid

“…However, the conversion of a complex form of ML algorithms into a simple statistical model is the prime concern. …”
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Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF)... by Pradhan, Biswajeet, Mohammad Zare, Pourghasemi, Hamid Reza, Vafakhah, Mahdi

“…Finally the landslide susceptibility maps were validated using the validation data (i.e., 30 % landslide location data that was not used during the model construction) using area under the curve (AUC) method. …”
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A deep reinforcement learning hybrid algorithm for the computational discovery and characterization of small proteins utilizing mycobacterium tuberculosis as a model by Ouwabunmi, Babalola AbdulHafeez

“…While the focus was on comparing standalone and hybrid models, the study identifies opportunities for future benchmarking against external tools to further validate its contributions. …”
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Routing strategies and buffer management in delay tolerant networks by Ahmed, Kawakib K., Omar, Mohd Hasbullah, Hassan, Suhaidi

“…The Delay Tolerant Networks (DTN) is an intermittently connected network that enables communication among wireless nodes in the heterogeneous environments where end-to-end connectivity between nodes does not exist.These networks are characterized by a long delay, asymmetric data rate and low data rate.DTN uses store and forward mechanism to transmit messages from the source node to destination node.Routing in DTN is challenging because of frequent and long duration periods of disconnectivity.Therefore, the selection of routing protocol in DTN depends on the application environment in which it is used. …”
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Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control by Tuan Abdul Rahman, Tuan Ahmad Zahidi, As'arry, Azizan, Abdul Jalil, Nawal Aswan, Raja Ahmad, Raja Mohd Kamil

“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
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Model structure selection for a discrete-time non-linear system using genetic algorithm by Ahmad, Robiah, Jamaluddin , Hishamuddin, Hussain, Mohd. Azlan

“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms by Raheem, Ajiboye Adeleke, Hauwau, Isah-Kebbe, O., Oladele Tinuke

“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm by Ahmad, R., Jamaluddin, H., Hussain, M. A.

“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Machine learning techniques validation using experimental average surface temperature and output power of photovoltaic panel cooled by porous media under indoor condition by Al-Masalha, Ismail, Masuri, Siti Ujila, Badran, Omar Othman, Alsabagh, Abdel Salam, Alawin, Aiman Al, Abu-Rahmeh, Taiseer M., Al-Khawaldeh, Mustafa A.

“…Therefore, the algorithm AdaBoost model prediction results proved one of the best machine learning models for analytical studies on photovoltaic panel cooling performance predictions. …”
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Predicting bankruptcy using ant colony optimization / Nur Syafiqah Abdul Ghani by Abdul Ghani, Nur Syafiqah

“…In model validation, to quantify accuracy by approving the informational collection, Ant Colony Optimization Algorithm was used and it was compared with the J48 algorithm. …”
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Stability augmentation system of active suspension system in electric vehicle conversion: Towards optimal ride comfort performance by Saiful Anuar, Abu Bakar, Ryosuke, Masuda, Hiromu, Hashimoto, Takeshi, Inaba, Hishamuddin, Jamaluddin, Roslan, Abd Rahman, Pakharuddin, Mohd Samin

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Routing based multi-agent system for network reliability in the smart microgrid by Singh, N., Elamvazuthi, I., Nallagownden, P., Ramasamy, G., Jangra, A.

“…The algorithm is defined for the distributed nature of the microgrid for an ideal communication network and for two cases of fault injected to the network. …”
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Optimization of multi-holes drilling toolpath using tiki-taka algorithm by Norazlina, Abdul Rahman

“…The study aims to model the MDMT toolpath using the Traveling Salesman Problem (TSP) concept, apply TTA to optimize this model, and validate the model and algorithm through machining experiments on this problem. …”
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Characterization of PV panel and global optimization of its model parameters using genetic algorithm by Ismail M.S., Moghavvemi M., Mahlia T.M.I.

“…The accurate modeling of any PV module is incumbent upon the values of these parameters, as it is imperative in the context of any further studies concerning different PV applications. …”

Prediction of blood-brain barrier permeability of compounds by machine learning algorithms by Feng, Tan wei, Raihana Zahirah, Edros, Ngahzaifa, Ab Ghani, Siti Umairah, Mokhtar, Dong, Ruihai

“…In this work, using the KNIME Analytics platform, 4 predictive models were developed with 4 ML algorithms followed by a ten-fold cross-validation approach to predict the external validation set. …”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

“…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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