Search Results - data distribution ((control algorithm) OR (means algorithm))

Heuristic resource allocation algorithm for controller placement in multi-control 5G based on SDN/NFV architecture by Ibrahim, Abeer Abdalla Zakaria, Hashim, Fazirulhisyam, Noordin, Nor Kamariah, Sali, Aduwati, Navaie, Keivan, Fadul, Saber Mohammed Elnour

“…A Greedy Randomized Search (GRS) algorithm was used to solve the dynamic assignment of nodes to controllers to achieve load balancing. …”
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Final exam question paper data encryption and decryption using advance encryption standard / Khairul Nashran Nazari by Nazari, Khairul Nashran

“…AES is a data encryption technique that exist in the world with as currently the most secured algorithms. …”
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Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum by Darzi S., Tiong S.K., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

Visualization of dengue incidences using expectation maximization (EM) algorithm by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

“…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

“…From the simulation study for this particular case, we can conclude that Weibull distribution describes well the nature of the model concerned as compared to the exponential distribution in terms of the mean value of parameter estimates, bias, and the root means square error. …”
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Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things by Hadi, Ahmed Adnan

“…Most importantly, algorithms that suffer from a limited capability to adapt to the evolving nature of data generated from network traffic are called concept drift. …”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model by Selva A.M., Yahaya M.S., Azis N., Ab Kadir M.Z.A., Jasni J., Yang Ghazali Y.Z.

Air quality measurement using remote sensing and digital images processing techniques / Lim, H. S. … [et al.] by Lim, H. S., Jafri, Mat, Abdullah, M. Z., Ahmad, A.N.

“…The relationship between the reflectance and the corresponding air quality data was determined using regression analysis. A new algorithm was developed for detecting air pollution from the digital camera images chosen based on the highest correlation coefficient, R and lowest root mean square error, RMS for PM10. …”
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Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation by Suarin, Nur Aisyah Syafinaz, Kim, Seng Chia

“…Thus, this study aims to investigate the ability of Joint Distribution Adaptation (JDA) transfer learning algorithm in addressing the assumption of traditional machine learning i.e. both training and testing data must come from the same feature spaces and data distribution. …”
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Development of a New Modeling Circuit for the Remote Terminal Unit (RTU) with GSM Communication by Ab Ghani, Mohd Ruddin, Wan Hassan, Wan Ahmas Redhauddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar

“…The RTU provides monitoring fault operation, controlling functions and data collection for analysis. …”
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Analysis and decentralised optimal flow control of heterogeneous computer communication network models by Ku-Mahamud, Ku Ruhana

“…The direct dependence of the maximum throughput on the mean time delay is also determined. The optimal local flow control with global objectives results in a team decision that does not favour any individual user, and depends only on the relative order of their packet generation rates. …”
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Generating vulnerability maps of dengue incidences for Petaling district in Malaysia by Mathur, N., Asirvadam, V.S., Dass, S.C., Gill, B.S.

“…Clustering is performed on this data using centroid and distribution models that are representatives of K-means and the Expectation Maximization (EM) algorithms, respectively. …”
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Flow regime identification and concentration distribution of solid particles flow in pipelines using electrodynamic tomography and artificial neural networks by Rahmat, Mohd. Fuaad, Ahmed Sabit, Hakilo

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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.

“…Parallel power loads anomalies are processed by a fast-density peak clustering technique that capitalizes on the hybrid strengths of Canopy and K-means algorithms all within Apache Mahout's distributed machine-learning environment. …”

Meta-heuristic approaches for reservoir optimisation operation and investigation of climate change impact at Klang gate dam by Lai, Vivien Mei Yen

“…Consequently, seeking managing of reservoir optimisation operations had always been at the forefront and to improve managing, algorithms have had been presented over the past few decades, beginning with conventional algorithms, followed by heuristic algorithms, and finally, the meta-heuristic algorithms (MHAs). …”
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RED, GRED, AGRED congestion control algorithms in heterogeneous traffic types by Seifaddini, Omid, Abdullah, Azizol, Vosough, Hamid

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Generating an adaptive and robust walking pattern for prosthetic ankle-foot utilizing a nonlinear autoregressive network with exogenous inputs / Hamza Al Kouzbary by Hamza, Al Kouzbary

“…Many challenges are associated with the development of powered lower limb prostheses, ranging from their mechanical design to their control system. Many studies on the use of control algorithms in the field of rehabilitation robotics have attempted to mimic the behavior of an intact lower limb with different walking speeds over diverse terrains and used different control structures and logic to achieve this overarching goal. …”
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Analyzing the cost-effectiveness of enhancement approaches for rehabilitating water distribution network by Abdel Rahman Mohamed Ismail, Farouk Abdel Mageed Rady

“…Additionally, the data from Malaysia suggest two more cost-effective enhancement approaches: zoning network and genetic algorithm. …”
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Economic analysis of rehabilitation approaches for water distribution networks: comparative study between Egypt and Malaysia by Abdelrahman, M. Farouk, Rahimi, A. Rahman, Noor Suraya, Romali

“…Additionally, the data from Malaysia suggest two additional cost-effective approaches:“zoning network” and “genetic algorithm.” …”
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