Search Results - (( develop soft model algorithm ) OR ( java implication based algorithm ))
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Mathematical models and optimization algorithms for low-carbon Location-Inventory-Routing Problem with uncertainty
Published 2024“…Given the NP-Hard nature of the three models proposed in this thesis, two metaheuristic algorithms have been developed. …”
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Interval-valued fuzzy soft topology and its applications in group decision-making problems
Published 2022“…In this thesis, we develop two multi algorithms based on the interval-valued fuzzy soft topology to overcome different situations in decision-making problems. …”
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An enhanced soft set data reduction using decision partition order technique
Published 2017“…In terms of accuracy, the proposed SSR-BPSO-BBO algorithm outperforms other optimization algorithms by up to 100% in achieving high accuracy percentage of a given soft dataset. …”
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Algorithm for calculation of cephalometric soft tissue facial traits
Published 2007“…This paper presents development of a new soft tissue analysis algorithm, which will be used as an analysis tool in Computer Assisted Craniofacial Surgery Planner – a surgery planning system under development. …”
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Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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Talent classification using support vector machine technique / Hamidah Jantan, Norazmah Mat Yusof and Mohd Hanapi Abdul Latif
Published 2014“…Support Vector Machine (SVM) is among the popular learning algorithm for classification in soft computing techniques. …”
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Shear strength prediction of treated soft clay with sugarcane bagasse ash using artificial intelligence methods
Published 2023“…Case studies of 144 soft clay soil samples from Sarang Buaya, Semerah, Malaysia, were utilised to generate training and testing datasets for developing and validating models. …”
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Soft redundant instrument for metering station in gas transportation system
Published 2015“…This study focuses on the development of a soft redundant instrument to replace secondary hard instrument for saving cost of installation. …”
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Soft redundant instrument for metering station in gas transportation system
Published 2015“…This study focuses on the development of a soft redundant instrument to replace secondary hard instrument for saving cost of installation. …”
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Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam
Published 2018“…Moreover, achieved results indicated that the developed ELM models can be used with confidence for further work on formulating novel model predictive strategy in shear strength and ductility of steel concrete composite. …”
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Computing the autopilot control algorithm using predictive functional control for unstable model
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Design and modelling of an autonomous robotic airship with soft computing control
Published 2012“…In recent years, with the development of advance soft computing control methods, countless research work have applied these controls system In their autonomous systems. …”
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Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Published 2021“…In light of these results, the study revealed strong evidence that the developed S-MTTMR was successfully mitigated the soft errors for the DNNs model on GPUs with lowoverheads in energy, performance, and area indicated a remarkable improvement in the healthcare domains’ model reliability.…”
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An adjustable approach to multi-criteria group decision-making based on a preference relationship under fuzzy soft information
Published 2017“…To date, different algorithms have been proposed for solving collective decision-making problems based on fuzzy soft set theory. …”
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Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns
Published 2023“…In the future, we will do the experiment with various soft soil characteristics to develop high-performing machine and deep learning models.…”
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Job shop rescheduling using a hybridization of genetic algorithm and artificial immune systems
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