Search Results - (( evolution optimization svm algorithm ) OR ( data selection path algorithm ))

Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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Automated path testing using the negative selection algorithm by Shayma Mustafa Mohi-Aldeen, Radziah Mohamad, Safaai Deris

“…Negative selection algorithm (NSA) has been used in this paper to generate test data for path testing automatically. …”
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Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques by Qtaish, Osama Kayed Taher

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Time series predictive analysis based on hybridization of meta-heuristic algorithms by Mustaffa, Zuriani, Sulaiman, Mohd Herwan, Rohidin, Dede, Ernawan, Ferda, Kasim, Shahreen

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network by Wan Isni Sofiah, Wan Din, Asyran Zarizi, Abdullah, Razulaimi, Razali, Ahmad Firdaus, Zainal Abidin, Salwana, Mohamad, Eh Phon, Danakorn Nincarean, Cik Feresa, Mohd Foozy

“…When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. …”
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A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

“…Such an in-band probing algorithm reduces measurement overhead on the selected overlay path. …”
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Classification with degree of importance of attributes for stock market data mining by Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor

“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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Weighted Sum-Dijkstra’s Algorithm in Best Path Identification based on Multiple Criteria by Ting, Kien Hua, Noraini Abdullah

“…Dijkstra’s Algorithm is a shortest path algorithm that considers a single criterion only. …”
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Time series predictive analysis based on hybridization of meta-heuristic algorithms by Zuriani, Mustaffa, M. H., Sulaiman, Rohidin, Dede, Ernawan, Ferda, Shahreen, Kasim

“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Multi agent quality of service routing based on scheme ant colony optimization algorithm by Baygi, Maassoumeh Javadi

“…This study also introduces a new probe-based procedure for discovery and setup QoS path for real-time traffic. The proposed scheme has been simulated by OMNET++ and compared with standard AntNet and two well-known standard QoS routings; Widest Shortest Path (WSP) algorithm and Shortest Widest Path (SWP) algorithm. …”
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Predetermined path of mobile data gathering in wireless sensor networks based on network layout by Ghaleb, Mukhtar, Subramaniam, Shamala, Othman, Mohamed, Ahmad Zulkarnain, Zuriati

“…Thus, within each of these divided areas, the multi-hop collection is deployed as a sub-set to the main collection. The ME will select a centroid point between two sub-polling points, subsequently selecting common turning points as the core of the basis of the tour path. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers by Motlagh, Omid Reza Esmaeili

“…The system is then used in path prediction mode for reconstructing the missing parts of the trajectory when actual positioning data is unavailable. …”
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Novel Link Establishment Communication Scheme against Selfish Attack Using Node Reward with Trust Level Evaluation Algorithm in MANET by Hemalatha, S., Kshirsagar, P.R., Manoharan, H., Vasantha Gowri, N., Vani, A., Qaiyum, S., Vijayakumar, P., Tirth, V., Haleem, S.L.A., Chakrabarti, P., Teressa, D.M.

“…This scheme selects genuine node for routing path production, by using the node reward with dependence level estimating algorithm to compute every node trust level and resource range, to disconnect higher trust level node and lower trust level node; higher trust level node is a genuine node which performs secure communication. …”
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

“…Pheromone trails mark efficient routes, reinforcing paths with higher pheromone concentrations. This optimizes data transmission, enhances energy efficiency, and extends network longevity. …”
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Delay-based load-balancing routing (DLBR) algorithm for wireless ad-hoc networks by Habib, I., Badruddin, N., Drieberg, M.

“…The DLBR then uses this metric to select high capacity links for data forwarding, thus providing paths with less congested nodes and high capacity links. …”
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Delay-based load-balancing routing (DLBR) algorithm for wireless ad-hoc networks by Habib, I., Badruddin, N., Drieberg, M.

“…The DLBR then uses this metric to select high capacity links for data forwarding, thus providing paths with less congested nodes and high capacity links. …”
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Improved tree routing protocol in zigbee networks by Al-Harbawi, Mostafa Kamil Abdulhusain

“…ImpTR protocol uses an approach to select next hope depending on new algorithm and uses the same tree topology construction for distributing address to all sensor nodes in the network. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.] by Photong, Lersak, Sukprasert, Anupong, Boonlua, Sutana, Ampant, Pravi

“…Finally, rule-based optimisation techniques such as Particle Swarm Optimization (PSO), Differential Evolution (DE) and Grey Wolf Optimizer (GWO) were used to minimise the amount of time employed in the stock market turning points prediction. …”
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Improving Network Consistency and Data Availability Using Fuzzy C Mean Clustering Algorithm in Wireless Sensor Networks by Mujahid Tabassum

Design of radix-4 single path delay fast fourier transform processor with genetic algorithms optimization by Pang, Jia Hong

“…This research work involves the implementation of Single Objective Genetic Algorithm (SOGA) and Multi-objectives Genetic Algorithm (MOGA) in a 16-point Radix-4 Single Path Delay Feedback (R4SDF) pipelined Fast Fourier Transform (FFT) processor. …”
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