Search Results - (( java implementation svm algorithm ) OR ( (parameter OR parameters) program during algorithm ))

Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…The support vector machines (SVM) algorithm obtained the overall best results of 94.5% accuracy, 91.8% precision, 91.7% recall, and 91.1% f-Measure while the naïve bayes (NB) algorithm obtained the best AUC score of 0.944 with the tweet data of Dato Seri Anwar. …”
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Optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm / Mimi Muzlina Mukri, Nor Atiqah Zolpaka and Sunil Pathak by Mukri, Mimi Muzlina, Zolpaka, Nor Atiqah Zolpaka, Pathak, Sunil

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Classification of gait parameters in stroke with peripheral neuropathy (PN) by using k-Nearest Neighbors (kNN) algorithm / N. Anang ...[et al.] by Anang, N., Jailani, R., Mustafah, N., Manaf, H.

“…Additionally, all subjects must be able to walk freely without any cane or mechanical aid during walking. Vicon® Nexus Plug-in-Gait has been used to compute the kinematic gait parameters. …”
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Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches by Ong, Pauline, Vui, Desmond Daniel Sheng Chin, Choon, Sin Ho, Chuan, Huat Ng

“…Subsequently, the analytical approach and metaheuristic algorithms, specifically the particle swarm optimization, cuckoo search algorithm (CSA) and flower pollination algorithm, were applied to optimize the extrusion process parameters. …”
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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.

Hybrid meta-heuristic algorithm for solving multi-objective aggregate production planning in fuzzy environment by Kalaf, Kalaf, Bayda Atiya

“…For these proposed approaches, this study adopted a hybridization of a fuzzy programming, modify simulated annealing, and simplex downhill (SD) algorithm called Fuzzy-MSASD to resolve multiple objective linear programming APP problems in a fuzzy environment. …”
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A matlab-based graphical user interface (GUI) to predict the food quality during frying process by Siti Nabihah, Othman

“…In this study, the colour and moisture content of French fries is studied during deep frying.The colour changes and moisture content were formulated by first order kinetic equation which was numerically solved by using the Runge Kutta fourth order method that was embedded with a parameter fitting technique called as Nelder-Mead algorithm in MATLAB software. …”
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Nuclear Power Plant Burst Parameters Prediction During a Loss-of-Coolant Accident Using an Artificial Neural Network by Tumpa, P.P., Saiful Islam, M., May, Z., Khorshed Alam, M.

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Smart energy meter with adaptive communication data transfer algorithm for electrical energy monitoring by Ab Halim, Haizum Hanim

“…Index test on the algorithm performance is carried out at different locations and atmospheric for example in an indoor area of KEE 009 laboratory (normal weather), the outdoor area of KEE 009 laboratory in normal weather, multi storey building and during thunderstorm weather. …”
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi by Seyedmehdi, Mirmohammadsadeghi

“…For solving TTRP, a variety of algorithms have been applied earlier but TTRPSD programming has not yet solved. …”
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New synchronization protocol for distributed system with TCP extension by Bayat, Peyman

“…These results show that the proposed algorithm, on average, has 7.97% higher fault-tolerance. …”
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A hybrid optimization technique for solving economic emission load dispatch problems by Aisyah binti Nordin

Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai, V., Ahmed, Ali Najah, Malek, Marlinda Abdul, El-Shafie, Ahmed, El-Shafie, Amr

“…This study has an important implication for the population in ECPM since the predicted sea level could be used as an early warning signal to help prevent severe erosion and facilitate early evacuation of affected communities in case of flood inundation. Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”
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Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken fiom the vehicle during driving on highway, by using MATLAB programming. …”
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Vision-based autonomous vehicle driving control system by Isa, Khalid

“…Therefore, this study presents a simulation system with Graphical User Interface (GUI) to simulate and analyse the driving control for autonomous vehicle that based on video taken from the vehicle during driving on highway, by using MATLAB programming. …”
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Evolutionary algorithm for forecastng mean sea level based on meta-heuristic approach by Lai V., Ahmed A.N., Malek M.A., El-Shafie A., El-Shafie A.

“…This study has an important implication for the population in ECPM since the predicted sea level could be used as an early warning signal to help prevent severe erosion and facilitate early evacuation of affected communities in case of flood inundation. Genetic Programming (GP) algorithm is an example of an evolutionary algorithm (EA) in the field of evolutionally computation (EC) and, more broadly, in Artificial Intelligence. …”

Development of wwm system using mlnn-ga for ph prediction of water quality in catchment area by Muhammad Aznil, Ab Aziz

“…MLNN-GA contain three hidden layers and Genetic Algorithm (GA) will optimize the weight of neural network during the training process. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. ANN is a computer-based simulation of the living nervous system which works quite differently from conventional programming. …”
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A Simulated Annealing Approach to Solve Fuzzy Multi-Objective Linear Model for Supplier Selection in a Supply Chain by Parthiban, P, Dominic P, Dhanapal Durai, dhanalakshmi, p

“…During this project a fuzzy Multi-objective linear model is developed to achieve three important goals: Cost minimization, Quality maximization and Service level maximization and further it is converted into crisp single objective programming model using membership functions of the three objectives. …”
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