Search Results - (( java implication based algorithm ) OR ( chain integration method algorithm ))
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Solving the integrated inventory supply chain problems using meta-heuristic methods / Seyed Mohsen Mousavi
Published 2018“…A Modified Particle Swarm Optimization (MPSO) algorithm, a Genetic Algorithm (GA), a modified fruit fly optimization algorithm (MFOA) and a simulated annealing (SA) algorithm were used to find the optimal solution. …”
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Integrated supply chain planning under uncertainty using an improved stochastic approach
Published 2011“…This paper proposes an integrated model and a modified solution method for solving supply chain network design problems under uncertainty. …”
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Article -
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Aplikasi rangkaian neural dalam pengesanan simpang bagi penterjemah lakaran pintar
Published 2006“…This research involved three main components - corner detector, chain code, and neural network. The integration of these components produced a corner detector algorithm and this algorithm can be used in the engine of an intelligent sketch interpreter…”
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Development of a two-level trade credit model with shortage for deteriorating products using hybrid metaheuristic algorithm
Published 2015“…A hybrid metaheuristic algorithm which combines Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm, is then developed to solve the established models. …”
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A review and comparative analysis of predictive models for supply chain demand forecasting
Published 2026“…This paper presents a comparative analysis of traditional forecasting models and machine learning approaches for supply chain demand prediction. This study reviews key techniques, including statistical time-series models, supervised and unsupervised learning algorithms, ensemble methods, and deep learning architectures. …”
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Carbon dioxide management for product supply chain and total site utilisation and storage
Published 2018“…This research proposes a methodology for CO2 emission reduction throughout product supply chain and end-of-pipe management of CO2 via total site integration. …”
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Development of cost reduction mathematical model for natural gas transmission network system
Published 2012“…In addition, a multi-echelon supply chain was designed for NGTSs named Natural Gas Transmission Network Supply Chain (NGTSC). …”
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Iterative sliding window method for shorter number of operations in modular exponentiation and scalar multiplication
Published 2017“…They result to even shorter chains of operations than ones returned by many metaheuristic algorithms for the AC.…”
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Second law considerations in fourier heat conduction of a lattice chain in relation to intermolecular potentials
Published 2016“…For these harmonic potentials, it appears from the simulation results that steady state solutions exist utilizing non-synthetic thermostats that couple not just the two particles at the extreme ends of the lattice chain, but to a control volume of N particles located at either ends of the chain that does not accord with the unique analytical solutions that obtains for single particle thermostatting at the ends of the lattice with a di�erent thermostatting algorithm that utilizes coupling coe�cients. …”
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The duality of technological innovation and dynamic capabilities: the micro-foundation of China's construction machinery industry's rise up the global value chain
Published 2024“…Based on organizational learning theory and dynamic capability perspective, this study constructs a theoretical framework of dual integration of technological innovation (exploratory innovation and pioneering innovation) and dynamic capability, and explores its impact mechanism on the global value chain upgrading of Chinese construction machinery enterprises. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Flexible content authorization using digital rights management in cloud computing / Ali Hussain
Published 2021“…The integrity of data is verified with the use of HMAC algorithm chain using the verify function of versifier in Macaroon. …”
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A bayesian via laplace approximation on log-gamma model with censored data
Published 2016“…Problem/Objective: In this paper we introduce a solution to closed forms of its survival function of the model which shows the suitability and flexibility towards modelling real life data. Methods/Analysis: Alternatively, Bayesian estimation by MCMC simulation using the Random-walk Metropolis algorithm was applied, using AIC and BIC comparison makes it the smallest and great choice for fitting the survival models and simulations by Markov Chain Monte Carlo Methods. …”
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Automated rockmelon grading technology / Chua Hong Kheng ... [et al.]
Published 2024“…The Automated Rock melon Grading Technology presents a pioneering solution set to transform the agricultural landscape, particularly in the grading of rock melon. The system integrates state-of-the-art technologies such as weight sensors and high-resolution cameras to revolutionise the grading process by addressing the inherent challenges of manual grading methods prevalent in the industry. …”
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Leaf condition analysis using convolutional neural network and vision transformer
Published 2024“…Through the use of a hybrid deep learning model that combines vision transformer and convolutional neural networks for classification, the algorithm can be optimized. The model performance is evaluated and compared with the other methods to ensure quality and usage compatibility in the plantation domain. …”
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Logistics center location-inventory-routing problem optimization: a systematic review using PRISMA method
Published 2022“…Based on the objective function, the minimization of total supply chain cost is the primary concern of the LIRP literature. …”
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A comprehensive review of optimization techniques in industrial applications: Trends, classifications, and future directions
Published 2025“…The research contribution of this review is to provide a structured classification of optimization methods—namely exact algorithms, heuristics, metaheuristics, and AI-integrated hybrid models—and to critically evaluate their practical applications, limitations, and emerging trends across industries. …”
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An integrated model for production line balancing planning
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