Search Results - (( exploring network selection algorithm ) OR ( java code classification algorithm ))

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Enhanced Adaptive Confidence-Based Q Routing Algorithms For Network Traffic by Yap, Soon Teck

“…In CQ Routing Algorithm, the confidence value (C value) can be used to improve the quality of exploration in Q Routing Algorithm. …”
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An adaptive routing algorithm: enhanced confidence-based Q routing algorithm in network traffic by Yap, Soon Teck, Othman, Mohamed

“…Confidence-based Q (CQ) Routing Algorithm is an adaptive network routing algorithm. …”
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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

“…Future research will focus on developing a Software Defined Networking (SDN) management framework, optimizing power management strategies, and exploring diverse network environments to enhance the adaptability and performance of wireless sensor networks.…”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…Build up a user interface by using Visual Studio Code (VSC) to run the coding of Cascading Style Sheet (CSS), Hyper Text Markup Language (HTML) and JavaScript (JS) as a webpage and connect to Azure Machine Learning Model and this will allow the user from using the model from a webpage when they have active internet with any devices.…”
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An energy-efficient spectrum-aware reinforcement learning-based clustering algorithm for cognitive radio sensor networks by Mustapha, Ibrahim, Mohd Ali, Borhanuddin, A. Rasid, Mohd Fadlee, Sali, Aduwati, Mohamad, Hafizal

“…Each member node selects an optimal cluster that satisfies pairwise constraints, minimizes network energy consumption and enhances channel sensing performance through an exploration technique. …”
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Improved cuckoo search based neural network learning algorithms for data classification by Abdullah, Abdullah

“…Artificial Neural Networks (ANN) techniques, mostly Back-Propagation Neural Network (BPNN) algorithm has been used as a tool for recognizing a mapping function among a known set of input and output examples. …”
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Attack path selection optimization with adaptive genetic algorithms by Abd Rahman, A.S., Zakaria, M.N., Masrom, S.

“…We have incorporated a fuzzy logic controller (FLC) to fine tune the optimization algorithm in run time. The FLC takes into consideration both the exploration and exploitation aspect of the GA. …”
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Attack path selection optimization with adaptive genetic algorithms by Abd Rahman, A.S., Zakaria, M.N., Masrom, S.

“…We have incorporated a fuzzy logic controller (FLC) to fine tune the optimization algorithm in run time. The FLC takes into consideration both the exploration and exploitation aspect of the GA. …”
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An ensemble of neural network and modified grey wolf optimizer for stock prediction by Das, Debashish

“…The verification of each solution individually by Modified GWO, instead of considering as a final solution, facilitates the improvement of the exploration. Additionally, the research restricts the number of variables through feature selection to enhance the performance of the algorithm. …”
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Impact of genetic operators on energy-efficient wireless sensor network by Vincent Chung, Norah Tuah, Lim, Kit Guan, Tan, Min Keng, Huang, Hui, Teo, Kenneth Tze Kin

“…As such, this paper aims to explore the potential of improving the genetic algorithm by manipulating its operators. …”
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Feature optimization with metaheuristics for Artificial Neural Network-based chiller power prediction by Nor Farizan, Zakaria, Mohd Herwan, Sulaiman, Zuriani, Mustaffa

“…This paper presents a novel Evolutionary Mating Algorithm (EMA) hybridized with Artificial Neural Networks (ANN) for optimizing feature selection. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

“…Clustering in WSNs is a reliable method of effectively transferring data within the network through routing. Thus, developing an effective routing algorithm to optimize network functionality is a big concern. …”

Master-leader-slave cuckoo search with parameter control for ANN optimization and its real-world application to water quality prediction by Jaddi N.S., Abdullah S., Malek M.A.

Advances of metaheuristic algorithms in training neural networks for industrial applications by Chong H.Y., Yap H.J., Tan S.C., Yap K.S., Wong S.Y.

Genetic algorithm based network coding in wireless ad hoc networks by Tan, Shee Eng

“…The main objective of this research is to maximize the throughput and minimize the energy consumption in wireless ad hoc networks with network coding by selecting a suitable route to destination. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…In the third stage, hybrids of expert system with neural network technology was desired to narrow down the selection. …”
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Hybrid metaheuristic method for clustering in wireless sensor networks / Bryan Raj Peter Jabaraj by Bryan Raj , Peter Jabaraj

“…However, it faced issues such as isolated node problems and energy hole problems because of the inefficiency in Cluster Head (CH) selection. As such, the existence of metaheuristic methods to optimally select the CH and forms clusters has opened up a research interest in proposing a metaheuristic method with balanced exploration and exploitation ability for efficient CH selection. …”
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Benchmarking routing algorithms in NoC-based MPSoCs using guaranteed convergence arithmetic optimization with artificial neural networks and fuzzy MCDM by R Muhsin, Al-Molla Yousif

“…In addition, the selection of appropriate and effective routing algorithms poses a challenge for designers due to multiple criteria, data fluctuations, and the importance of varying criteria. …”
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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector by Wang G., Mukhtar A., Moayedi H., Khalilpoor N., Tt Q.

“…These findings underscore the importance of algorithm selection in optimizing predictive models for energy consumption forecasting. …”