Search Results - (( variable orientation based algorithm ) OR ( java application matching algorithm ))
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Dynamic Bayesian Networks and Variable Length Genetic Algorithm for Dialogue Act Recognition
Published 2007“…In the selection phase, a new variable length genetic algorithm is applied to select the lexical cues. …”
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Message based random variable length key encryption algorithm.
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Securing cloud data system (SCDS) for key exposure using AES algorithm
Published 2021“…The AES algorithm has its own structure to encrypt and decrypt sensitive data that make the attackers difficult to get the real data when encrypting by AES algorithm. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Unlike the existing optimization algorithm, VL-WIDE features the capability of searching different lengths of solutions to cover the variable number of cloudlets for deployment. …”
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Artificial immune system based on real valued negative selection algorithms for anomaly detection
Published 2015“…With respect to all the algorithms, V-Detector proved to be superior and surpassed all other algorithms based on performance and execution time.…”
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Quaternion-based dynamic algorithm for random generation of solid 4D cylindrical curves in RVE modeling
Published 2025“…A quaternion‐based dynamic algorithm is developed to populate Representative Volume Elements (RVEs) with solid 4D cylindrical fibers, combining spatial centerline coordinates (x,y,z) and quaternion‐encoded orientation. …”
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Mobile data gathering algorithms for wireless sensor networks
Published 2014“…In this research, a Mobile Data Gathering based Network Layout (MDG-NL) algorithm is proposed. …”
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A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study
Published 2020“…The modelling methodology involves variables connectivity based on ports and streams that is admissible to equation-oriented flow sheet. …”
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A genetic algorithm optimization of hybrid fuzzy-fuzzy rules in induction motor control
Published 2017“…This paper discusses speed control performance of a proposed hybrid fuzzy-fuzzy controller (HFFC) in a variable speed induction motor (IM) drive system. With respect to finding the rule base of the fuzzy controller, a simple genetic algorithm (GA) is employed to resolve the problem of optimization to diminish an objective function, i.e., the Integrated Absolute Error (IAE) criterion. …”
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Measuring the effects of strategic capability, entrepreneurial orientation, servant leadership, and assistive technology on success of visually impaired leaders
Published 2021“…Therefore, the significant effect of strategic capability and entrepreneurial orientation on the success of visually impaired leaders suggest that the variables are important in relation to the success of a leader. …”
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Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes
Published 2018“…This paper presents a genetic algorithm (GA) based technique for assigning weights to different attributes of a service based on survey data to find overall customer experience management index (CEMI). …”
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Velocity Field Measurement of a Round Jet using Quantitative Schlieren
Published 2011“…This paper utilizes the Background Oriented Schlieren (BOS) technique in order to measure the velocity field of variable density round jet. …”
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Sensorless induction motor speed control for electric vehicles using enhanced hybrid flux estimator with ann-ifoc controller
Published 2022“…Artificial neural network (ANN)-field-oriented control (FOC) was used in the hybrid flux system. …”
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Optimization of pressure vessel design using pyopt
Published 2016“…pyOpt is an open source python based object oriented framework for nonlinear constrained optimization problems. …”
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Optimization of pressure vessel design using pyopt
Published 2016“…pyOpt is an open source python based object oriented framework for nonlinear constrained optimization problems. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…Third, to propose orientation invariant based deep spare autoencoder methods for automatic complex activity identification to minimize orientation inconsistencies and learn adequate data patterns. …”
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