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2023, 'Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review', Knowledge Based Systems, 265, http://dx.doi.org/10.1016/j.knosys.2022.110238
,2023, 'A systematic literature review on pharmaceutical supply chain: research gaps and future opportunities', International Journal of Web and Grid Services, 19, pp. 233 - 258, http://dx.doi.org/10.1504/IJWGS.2023.131243
,2023, 'Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions', Expert Systems with Applications, 211, http://dx.doi.org/10.1016/j.eswa.2022.118604
,2023, 'Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time', Engineering Applications of Artificial Intelligence, 117, http://dx.doi.org/10.1016/j.engappai.2022.105596
,2023, 'A systematic literature review on pharmaceutical supply chain: research gaps and future opportunities', International Journal of Web and Grid Services, 19, pp. 233 - 233, http://dx.doi.org/10.1504/ijwgs.2023.10056512
,2022, 'An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques', Expert Systems with Applications, 209, http://dx.doi.org/10.1016/j.eswa.2022.118294
,2022, 'Intelligent context-aware fog node discovery', Internet of Things Netherlands, 20, http://dx.doi.org/10.1016/j.iot.2022.100607
,2022, 'Fog node discovery and selection: A Systematic literature review', Future Generation Computer Systems, 135, pp. 114 - 128, http://dx.doi.org/10.1016/j.future.2022.04.034
,2022, 'The process of risk management needs to evolve with the changing technology in the digital world', Service Oriented Computing and Applications, 16, pp. 143 - 145, http://dx.doi.org/10.1007/s11761-022-00348-2
,2022, 'Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management', Knowledge Based Systems, 250, pp. 108972, http://dx.doi.org/10.1016/j.knosys.2022.108972
,2022, 'Task offloading in vehicular fog computing: State-of-the-art and open issues', Future Generation Computer Systems, 133, pp. 201 - 212, http://dx.doi.org/10.1016/j.future.2022.03.019
,2022, 'Does formalization or centralization mitigate uncertainty in knowledge-intensive procurement?', Journal of Business and Industrial Marketing, 37, pp. 433 - 446, http://dx.doi.org/10.1108/JBIM-07-2020-0328
,2022, 'A reinforcement learning-based framework for disruption risk identification in supply chains', Future Generation Computer Systems, 126, pp. 110 - 122, http://dx.doi.org/10.1016/j.future.2021.08.004
,2022, 'An integrated approach to system dynamics and data envelopment analysis for determining efficient policies and forecasting travel demand in an urban transport system', Transportation Letters, 14, pp. 157 - 173, http://dx.doi.org/10.1080/19427867.2020.1839716
,2022, 'Measuring chatbot quality of service to predict human-machine hand-over using a character deep learning model', International Journal of Web and Grid Services, 18, pp. 479 - 495, http://dx.doi.org/10.1504/ijwgs.2022.126126
,2022, 'Measuring chatbot quality of service to predict human-machine hand-over using a character deep learning model', International Journal of Web and Grid Services, 18, pp. 479 - 479, http://dx.doi.org/10.1504/ijwgs.2022.10049660
,2021, 'Explainability in Supply Chain Operational Risk Management: A Systematic Literature Review', Knowledge-Based Systems, http://dx.doi.org/10.1016/j.knosys.2021.107587
,2021, 'Imputing sentiment intensity for SaaS service quality aspects using T-nearest neighbors with correlation-weighted Euclidean distance', Knowledge and Information Systems, 63, pp. 2541 - 2584, http://dx.doi.org/10.1007/s10115-021-01591-3
,2021, 'A biological data-driven mining technique by using hybrid classifiers with rough set', International Journal of Ambient Computing and Intelligence, 12, pp. 123 - 139, http://dx.doi.org/10.4018/IJACI.2021070106
,2021, 'Guaranteeing end-to-end QoS provisioning in SOA based SDN architecture: A survey and Open Issues', Future Generation Computer Systems, 119, pp. 176 - 187, http://dx.doi.org/10.1016/j.future.2021.02.011
,2021, 'The Flipped Classroom: An Overview of its Impact on Economics Learning', International Journal of Pedagogy and Teacher Education, 5, pp. 26 - 26, http://dx.doi.org/10.20961/ijpte.v5i1.49750
,2021, 'A survey on the suitability of risk identification techniques in the current networked environment', Journal of Network and Computer Applications, 178, http://dx.doi.org/10.1016/j.jnca.2021.102984
,2021, 'Assessing the authenticity of subjective information in the blockchain: a survey and open issues', World Wide Web, 24, pp. 483 - 509, http://dx.doi.org/10.1007/s11280-020-00854-3
,2021, 'Supervised ensemble sentiment-based framework to measure chatbot quality of services', Computing, 103, pp. 491 - 507, http://dx.doi.org/10.1007/s00607-020-00863-0
,2021, 'GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game', Knowledge Based Systems, 213, http://dx.doi.org/10.1016/j.knosys.2020.106672
,2021, 'Buying centre members’ information control and complex organizational buying', Journal of Business and Industrial Marketing, 36, pp. 125 - 136, http://dx.doi.org/10.1108/JBIM-02-2020-0095
,2021, 'AI-based audit of fuzzy front end innovation using ISO56002', Managerial Auditing Journal, 36, pp. 564 - 590, http://dx.doi.org/10.1108/MAJ-03-2020-2588
,2021, 'Optimization of the Mashaer Shuttle-Bus Service in Hajj: Arafat-Muzdalifah Case Study', INFORMATION, 12, http://dx.doi.org/10.3390/info12120496
,2020, 'Smart contracts for blockchain-based reputation systems: A systematic literature review', Journal of Network and Computer Applications, 170, http://dx.doi.org/10.1016/j.jnca.2020.102814
,2020, 'Social network structure-based framework for innovation evaluation and propagation for new product development', Service Oriented Computing and Applications, 14, pp. 189 - 201, http://dx.doi.org/10.1007/s11761-020-00289-8
,2020, 'Sentiment aggregation of targeted features by capturing their dependencies: Making sense from customer reviews', International Journal of Information Management, 53, pp. 102097, http://dx.doi.org/10.1016/j.ijinfomgt.2020.102097
,2020, 'Special Issue: Intelligent Edge, Fog and Internet of Things (IoT)-based Services', Future Generation Computer Systems, 109, pp. 710 - 711, http://dx.doi.org/10.1016/j.future.2020.03.041
,2020, 'IntelliBot: A Dialogue-based chatbot for the insurance industry', Knowledge-Based Systems, 196, http://dx.doi.org/10.1016/j.knosys.2020.105810
,2020, 'Digital Revolution for Hajj Crowd Management: A Technology Survey', IEEE ACCESS, 8, pp. 208583 - 208609, http://dx.doi.org/10.1109/ACCESS.2020.3037396
,2019, 'A comparative analysis of machine learning models for quality pillar assessment of SaaS services by multi-class text classification of users’ reviews', Future Generation Computer Systems, 101, pp. 341 - 371, http://dx.doi.org/10.1016/j.future.2019.06.022
,2019, 'An exploration of swarm behavior and design human-swarm interaction model', Test Engineering and Management, 81, pp. 5890 - 5903
,2019, 'Stackelberg model based game theory approach for assortment and selling price planning for small scale online retailers', Future Generation Computer Systems, 100, pp. 1088 - 1102, http://dx.doi.org/10.1016/j.future.2019.05.066
,2019, 'PERCEPTUS: Predictive complex event processing and reasoning for IoT-enabled supply chain', Knowledge Based Systems, 180, pp. 133 - 146, http://dx.doi.org/10.1016/j.knosys.2019.05.024
,2019, 'Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment', Future Generation Computer Systems, 95, pp. 26 - 44, http://dx.doi.org/10.1016/j.future.2018.12.034
,2019, 'A framework of cloud service selection with criteria interactions', Future Generation Computer Systems, 94, pp. 749 - 764, http://dx.doi.org/10.1016/j.future.2018.12.005
,2019, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, 23, pp. 3067 - 3080, http://dx.doi.org/10.1007/s00500-017-2954-3
,2019, 'Synthesis, characterization and chemosensitivity studies of half-sandwich ruthenium, rhodium and iridium complexes containing kappa(1)((S)) and kappa(2)((N,S)) aroylthiourea ligands', JOURNAL OF ORGANOMETALLIC CHEMISTRY, 880, pp. 272 - 280, http://dx.doi.org/10.1016/j.jorganchem.2018.11.020
,2019, 'Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management', IEEE Access, 7, pp. 49297 - 49315, http://dx.doi.org/10.1109/ACCESS.2019.2902191
,2019, 'Quality Management of Workers in an In-House Crowdsourcing-Based Framework for Deduplication of Organizations' Databases', IEEE Access, 7, pp. 90715 - 90730, http://dx.doi.org/10.1109/ACCESS.2019.2924979
,2018, 'Extracting sentiment knowledge from pros/cons product reviews: Discovering features along with the polarity strength of their associated opinions', Expert Systems with Applications, 114, pp. 267 - 288, http://dx.doi.org/10.1016/j.eswa.2018.07.046
,2018, 'Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names', Expert Systems with Applications, 113, pp. 356 - 376, http://dx.doi.org/10.1016/j.eswa.2018.07.012
,2018, 'Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs', Future Generation Computer Systems, 89, pp. 464 - 477, http://dx.doi.org/10.1016/j.future.2018.06.041
,2018, 'Special Issue on Cloud of Things Applications', Concurrency and Computation Practice and Experience, 30, http://dx.doi.org/10.1002/cpe.4879
,2018, 'An MCDM method for cloud service selection using a Markov chain and the best-worst method', Knowledge Based Systems, 159, pp. 120 - 131, http://dx.doi.org/10.1016/j.knosys.2018.06.010
,2018, 'ZBWM: The Z-number extension of Best Worst Method and its application for supplier development', Expert Systems with Applications, 107, pp. 115 - 125, http://dx.doi.org/10.1016/j.eswa.2018.04.015
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