Search Results - parallel generation ((model algorithm) OR (((mining algorithm) OR (learning algorithm))))
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1
Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.
Published 2005“…These rules consist of conditions over attribute value pairs called the descriptions, and decision attributes. Therefore generating a good decision model or classification model is a major component in many data mining researches. …”
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2
Model of Improved a Kernel Fast Learning Network Based on Intrusion Detection System
Published 2019“…The incorporation of a single parallel hidden layer feed-forward neural network to the Fast Learning Network (FLN) architecture gave rise to the improved Extreme Learning Machine (ELM). …”
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3
Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The proposed adaptive negotiation model is named Aspirated Genetic Algorithm (AGA) negotiation model which is a hybrid negotiation system composed of different negotiation strategies, Aspiration concept,genetic algorithm and Bayesian learning. …”
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4
Hyper-heuristic approaches for data stream-based iIntrusion detection in the Internet of Things
Published 2022“…On the other hand, existing stream data learning models with limited labelling have many limitations. …”
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5
A study of the high-performance computing parallelism in solving complexity of meteorology data and calculations
Published 2024“…Our investigation elaborates on, identifies, and analyzes the features and characteristics of parallel computing that are utilized in it. The paper also focuses on examining parallelization modeling, the algorithms involved, and optimization strategies employed in HPC-enabled meteorological simulations. …”
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6
Auxiliary-based extension of multi-tasking sequence-to-sequence model for chatbot answers
Published 2021“…“MTL-BC” executes response generation and binary question-response categorization in parallel. …”
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PMT : opposition based learning technique for enhancing metaheuristic algorithms performance
Published 2020“…Addressing these OBL limitations, this research proposes a new general OBL technique inspired by a natural phenomenon of parallel mirrors systems called the Parallel Mirrors Technique (PMT). …”
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9
The visualization of three dimensional brain tumors' growth on distributed parallel computer systems
Published 2009“…The growth of the brain tumor through angiogenic process is described as parabolic model in partial differential equations. The discretization of the three-dimensional parabolic equations for the brain tumor’s growth mathematical model using a numerical finite-difference method will be implemented from the previous study of two dimensional model and thus a parallelization of algorithm simulation to computational resources based on high-performance computing systems will be used to generate the growth of the brain tumor in three dimensional. …”
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Application of intelligence based genetic algorithm for job sequencing problem on parallel mixed-model assembly line
Published 2010“…A heuristic algorithm was introduced to generate the initial population for intelligence based genetic algorithm. …”
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PMT: opposition-based learning technique for enhancing meta-heuristic performance
Published 2019“…Addressing these issues, this research proposes a new general opposition-based learning (OBL) technique inspired by a natural phenomenon of parallel mirrors systems called the parallel mirrors technique (PMT). …”
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Parallelization of speech compression based algorithm based on human auditory system on multicore system
Published 2012“…To achieve a scalable parallel speech coding algorithm, single program multiple data (SPMD) programming model was used, in which a single program was written for all cores. …”
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Parallel power load abnormalities detection using fast density peak clustering with a hybrid canopy-K-means algorithm
Published 2025“…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. …”
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Sequential and parallel multiple tabu search algorithm for multiobjective urban transit scheduling problems
Published 2018“…Additionally, the MTS algorithm is also implemented in parallel computing to produce parallel MTS for generating comparable solutions in shorter computational times. …”
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15
A review on security and privacy issues in E-learning and the MapReduce aproach
Published 2019“…Then, we proposed e-Learning using MapReduce algorithm in protecting the security and privacy of eLearning. …”
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Workflow optimization in distributed computing environment for stream-based data processing model / Saima Gulzar Ahmad
Published 2017“…Similarly, when data parallelism is introduced in the algorithm the performance of the algorithm improved further by 12% in latency and 17% in throughput when compared to PDWA algorithm. …”
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17
Mitigation of Mach Zehnder modulator nonlinearity in millimeter wave radio over fiber system using digital predistortion
Published 2017“…The proposed adaptive digital pre-distortion is based on memory polynomial (MP) model with indirect learning architecture (ILA) where the predistorter is modeled as an inverse polynomial model of the nonlinear RoF system. …”
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18
Active contour model on digital mammograms using low-cost parallel computing systems
Published 2009“…This system will generate the output in shorter periods as compared with sequential computing systems. …”
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Deterministic Automatic Test Pattern Generation for Built-In Self Test System
Published 2006“…As far as the single stuck-at fault model is considered, efficient algorithms have been devised for combinational circuit. …”
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