Search Results - (( java implication tree algorithm ) OR ( chain integration data algorithm ))
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1
Data tampering avoidance for food supply chain traceability system using blockchain technology
Published 2019“…The results showed that the algorithm was able to preserve data integrity up to 100% accuracy.…”
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Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence
Published 2018“…Data driven hybrid evolutionary analytical approach is proposed by integrating Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) to handle multiple objectives into Differential Evolution (DE) algorithm. …”
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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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4
Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…However, RFID reader is an expensive and has limited data transmission range. It alone cannot transmit data to the main server. …”
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5
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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Hybrid harmony search-simulated annealing algorithm for location-inventory-routing problem in supply chain network design with defect and non-defect items
Published 2020“…This paper considers a location-inventory-routing problem (LIRP) that integrates the strategic, tactical, and operational decision planning in supply chain network design. …”
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A framework for blockchain and internet of things integration in improving food security in the food supply chain
Published 2024“…This work proposes a framework of the integration of blockchain with IoT to improve the reliability of food supply chain (FSC) by focusing on optimizing the consensus algorithm of blockchain. …”
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8
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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9
A review and comparative analysis of predictive models for supply chain demand forecasting
Published 2026“…By synthesizing current research and implementation insights, this work provides a comprehensive evaluation of existing methods, identifying their strengths, limitations, and future research directions to enhance data-driven demand forecasting in modern supply chains.…”
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Proceeding Paper -
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Healthcare-Chain: Blockchain-Enabled Decentralized Trustworthy System in Healthcare Management Industry 4.0 with Cyber Safeguard
Published 2023“…This article describes a new secure data retention design, prescribed evidence collection, and evaluation mechanism with integrity–confidentiality–availability to enforce the data access control policies for transactions of healthcare microservices. …”
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Evaluation of SongketChain : A Framework to Protect Unique Cultural Product using Blockchain Technology
Published 2025“…Quantitatively, the study showcases a 100% improvement in transparency and traceability across the Songket supply chain, effectively integrating over 12 unique data points per product to authenticate and secure the Songket production process from inception to customer delivery.…”
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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“…The study adopts a mixed research method, combining large-scale patent data analysis and in-depth case study, and constructs a longitudinal data set of 146 Chinese construction machinery enterprises from 2005 to 2022. …”
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Model for responsive agriculture hub via e-commerce to sustain food security
Published 2024“…This paper proposes a model for a responsive agriculture hub facilitated through e-commerce platforms to address the dynamic demands of food production, distribution, and consumption. The model integrates data-driven decision-making, supply chain optimization, and digital marketplaces to enhance the efficiency and resilience of agricultural systems. …”
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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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Vision-based robot indoor navigation
Published 2022“…A different algorithm is created in the microcontroller to derive and perform the data delivered from the computer. …”
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Final Year Project / Dissertation / Thesis -
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A bayesian via laplace approximation on log-gamma model with censored data
Published 2016“…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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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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Real time traceability module for halal logistic transportation using GPS and geofence technique
Published 2016“…The existing geofence technique was upgraded by integrating spatial, temporal and speed rule in the ray casting algorithm used for this technique. …”
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Automated rockmelon grading technology / Chua Hong Kheng ... [et al.]
Published 2024“…Moreover, the system's scalability and adaptability, facilitated by customisable options, cater to stakeholders' diverse scales and requirements across the agricultural supply chain, from farms to distributors. The technology provides real-time data insights and adaptive learning capabilities by leveraging sensors and machine learning (ML) algorithms, enabling continuous refinement and optimisation of grading processes. …”
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