Search Results - (( model evaluation ((new algorithm) OR (_ algorithm)) ) OR ( based information needs algorithm ))

Designing New Block Cipher Based On Genetic Algorithm Approach by Nur Hafiza Binti Zakaria, Ramlan Mahmod, Nur Izura Udzir, Zuriati Ahmad Zukarnain, Suriyani Ariffin

Formulating new enhanced pattern classification algorithms based on ACO-SVM by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

“…This paper presents two algorithms that integrate new Ant Colony Optimization (ACO) variants which are Incremental Continuous Ant Colony Optimization (IACOR) and Incremental Mixed Variable Ant Colony Optimization (IACOMV) with Support Vector Machine (SVM) to enhance the performance of SVM.The first algorithm aims to solve SVM model selection problem. …”
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A block cipher based on genetic algorithm by Zakaria, Nur Hafiza

“…In this research, we proposed a new block cipher algorithm based on genetic algorithm approach which shall meet the security requirements. …”
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FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources by Al-Qadhi, Abdulrahman K., Athauda, Rukshan, Latip, Rohaya, Hussin, Masnida

“…We have evaluated the FaaSBid model and the proposed algorithms and pricing model by comparing with a number of existing models and algorithms using real-world datasets. …”
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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. Furthermore, the algorithm is also evaluated by human experts and shows 100% correctness.…”
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Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

Efficient DNS based Load Balancing for Bursty Web Application Traffic by Chin, Mei Lu, Chong, Eng Tan, Mohamad Imran, Bin Bandan

“…The proposed algorithm is evaluated via computer simulation and modeling where its performance is verified against the few selected algorithms of the same nature. …”
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A comparative study for parameter selection in online auctions by Gan, Kim Soon

“…Self adaptation genetic algorithm is the last model that will be used to evolve the bidding strategy. …”
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Algorithm-program visualization model : An intergrated software visualzation to support novices' programming comprehension by Affandy

“…Taking into account from those main issues, this study introduces the new model of integrated algorithm-program visualization (ALPROV) for developing program comprehension tool. …”
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Hybrid evolutionarybarnacles mating optimisation-artificial neural network based technique for solving economic power dispatch planning and operation / Nor Laili Ismail by Ismail, Nor Laili

“…In this study, a new optimisation algorithm termed Hybrid Evolutionary-Barnacles Mating Optimisation (HEBMO) was initially formulated to solve optimisation problems. …”
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Construction and optimization of financial risk management model based on financial data and text data influencing information system by Hui Huang, Thien Sang Lim

“…This study found financial and non-financial data models more predictive. Qualitative textual informationis used in financial risk assessment to improve risk prediction algorithms. …”
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Furniture form innovation and human–machine comfort evaluation model based on genetic algorithm by Yifan, Bai, Kamarudin, Khairul Manami, Alli, Hassan

“…This research explores the Pareto-primarily based Genetic Algorithm (PGA) inside this framework, with the goal of fostering innovation in product layout and the generation of novel ideas. …”
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Throughput analysis of TCP congestion control algorithms in a cloud based collaborative virtual environment by Ya'u Gital, Abdulsalam, Abdul Samad, Isma’il, Abdulkadir, Alkali, Abubakar, Adamu, Haruna, Chiroma

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Agent-based extraction algorithm for computational problem solving by Rajabi, Maryam

“…The tool is used to evaluate the accuracy of the proposed extraction algorithm to extract the appropriate information which are needed. …”
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An Electrocardiogram-Based Authentication Protocol In Wireless Body Area Network by Ramli, Sofia Najwa

“…To enhance the overall performance, this thesis also evaluates the uniqueness and the stability of ECG signal using Independent Component Analysis (ICA) and fast Fourier Transform (FFT) algorithm respectively as the signal is applied as inputs of the proposed ECG-based authentication protocol model. …”
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The classification of wink-based eeg signals by means of transfer learning models by Jothi Letchumy, Mahendra Kumar

“…The implementation of pre-processing algorithms has been demonstrated to be able to mitigate the signal noises that arises from the winking signals without the need for the use signal filtering algorithms. …”
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AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites by Alsariera, Y.A., Adeyemo, V.E., Balogun, A.O., Alazzawi, A.K.

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Automatic extraction of digital terrain model and Building Footprint from airborne LiDAR data using rule-based learning techniques by Jifroudi, Hamidreza Maskani

“…Finally, the Buildings Footprint developed based on the algorithm was compared with the Buildings Footprint developed manually to assess the accuracy of the results. …”
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State-Aware re-configuration model for multi-radio wireless Mesh Networks by Zakaria, Omar, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina, Khalifa, Othman Omran, Azram, Mohammad, Goudarzi, Shidrokh, Jivanadham, Lalitha Bhavani, Zareei, Mahdi

“…This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. …”
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Clustering of large time-series datasets using a multi-step approach / Saeed Reza Aghabozorgi Sahaf Yazdi by Yazdi, Saeed Reza Aghabozorgi Sahaf

“…Clustering such complex data can discover patterns which have valuable information. Time-series clustering is not only useful as an exploratory technique but also as a subroutine in more complex data mining algorithms. …”
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