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Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics

Pourya Pourhejazy
2020 Sustainability  
Applying the Fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, the interrelationships between the decision factors are investigated and the decisive considerations are identified.  ...  Internet shopping is a prime example of increasing popularity, which is exacerbated due to the recent pandemic.  ...  The author is also grateful to the anonymous reviewers and the editors for providing valuable insights that improved the earlier versions of this research paper.  ... 
doi:10.3390/su12208365 fatcat:zeo5dpwrbjghtl2wor6ixg6gi4

Formulation and Anticipated Approach for Developing a New Business through Integrated Strategic Morphological Analysis and Integrated Fuzzy Approach and Estimate the Cost of the Integration of PSO and BP Neural Network in the Plastic Injection Molding Industry

Seyed Ashkan Hoseini Shekarabi, Behrouz Dorri
2017 Review of European Studies  
At the end of a cost estimate for superior business model that obtained by ranking methods propagation is back propaganda neural network Particle swarm optimization.  ...  the products and the future of their business.  ...  This method taking into account the high levels of flexibility tried to delete impossible scenarios and decision-making easier.  ... 
doi:10.5539/res.v9n1p239 fatcat:hzgwppvagnhqncngjvuynpxmu4

Novel Method for Safeguarding Personal Health Record in Cloud Connection Using Deep Learning Models

Sarvesh Kumar, Mohammed Abdul Wajeed, Rajashekhar Kunabeva, Nripendra Dwivedi, Prateek Singhal, Sajjad Shaukat Jamal, Reynah Akwafo, Vijay Kumar
2022 Computational Intelligence and Neuroscience  
This paper presents security measures for cloud-based personal health records (PHR). The cost of keeping health records on a hospital server grows. This is particularly true in healthcare.  ...  It is a new online service paradigm that allows consumers to exchange their health data.  ...  Acknowledgments e authors extend their appreciation to the Deanship of Scientific Research at King Khalid University, for funding this work through a research groups program under grant number R. G.  ... 
doi:10.1155/2022/3564436 pmid:35345805 pmcid:PMC8957408 fatcat:qfsphmvrrjeerg6ftvs5uccone

Histogram of Oriented Gradient-Based Fusion of Features for Human Action Recognition in Action Video Sequences

Chirag I. Patel, Dileep Labana, Sharnil Pandya, Kirit Modi, Hemant Ghayvat, Muhammad Awais
2020 Sensors  
The results demonstrate that the proposed method performs reasonably compared with the majority of existing state-of-the-art methods, including the convolutional neural network-based feature extractors  ...  The features are calculated using the histogram of oriented gradient (HOG) from a segmented moving object.  ...  Acknowledgments: The authors would like to thank the reviewers for their valuable suggestions which helped in improving the quality of this paper.  ... 
doi:10.3390/s20247299 pmid:33353248 pmcid:PMC7766717 fatcat:n6b5qzdqd5cehcrwfkko3ywjnq

A Review of Data Mining with Big Data towards Its Applications in the Electronics Industry

Shengping Lv, Hoyeol Kim, Binbin Zheng, Hong Jin
2018 Applied Sciences  
On this basis, a diagram of data content for different knowledge areas and a framework for DM and Big Data applications in the electronics industry are established.  ...  Abstract: Data mining (DM) with Big Data has been widely used in the lifecycle of electronic products that range from the design and production stages to the service stage.  ...  Hong Jin proposed the paper structure and wrote the Sections 5 and 6 of the paper.  ... 
doi:10.3390/app8040582 fatcat:o4ohxbymuzcudbb7wx6uffmloi

Design of a web-based integrated material handling system for manufacturing applications

Chiwoon Cho, Pius J. Egbelu *
2005 International Journal of Production Research  
Also, if unauthorized copyright material had to be removed, a note will indicate the deletion.  ...  The quality of this reproduction is dependent upon the quality off the copy submitted.  ...  Because of this lack of decision-making aids, some knowledge-based systems have been introduced to solve the problem of MHE selection.  ... 
doi:10.1080/0020754042000268866 fatcat:dsnxmxavnfbupnmeuc6d3mneca

ACCU3RATE: A mobile health application rating scale based on user reviews

Milon Biswas, Marzia Hoque Tania, M. Shamim Kaiser, Russell Kabir, Mufti Mahmud, Atika Ahmad Kemal, Junaid Rashid
2021 PLoS ONE  
This study has implications for both App developers and consumers who are using mHealth Apps to monitor and track their health.  ...  Method Based on the literature, six variables were identified that influence the mHealth app rating scale.  ...  Nevertheless, the existence of a contradictory total rating reduces the credibility of the analysis due to its negative impact on consumer product attributes [84] .  ... 
doi:10.1371/journal.pone.0258050 pmid:34914718 pmcid:PMC8675707 fatcat:2qcmzagk6nbv5b66jknvip7cy4

Graph Ontology Based IAFCM Model for Itemset Mining in Transactional Database: An Optimized Fuzzy Framework

2022 TAGA Journal  
The suggested method begins by preprocessing time series-based data into fuzzy itemsets.  ...  These are fed into the Improved Adaptive Fuzzy C Means (IAFCM) technique, which is a hybrid of the FCM clustering method and the Graph based Ant Colony Optimization (GACO) technique.  ...  After the database has really been scanned, the ACS will be stimulated to get a good result by a representation of the data.  ... 
doi:10.37896/pd91.4/91422 fatcat:s2zcokzf6fhvxbeslu4w3ddpni

Estimation at Completion in Civil Engineering Projects: Review of Regression and Soft Computing Models

Almahdi Mohamed Araba, Zubair Ahmed Memon, Musab Alhawat, Mumtaz Ali, Abdalrhman Milad
2021 Knowledge-Based Engineering and Sciences  
There are numerous ways of determining the final cost of a project, however, the most essential approach is the Estimate at Completion (EAC) technique.  ...  The review established on the base to recognize the modern advancement of the soft computing in computing the EAC with accurate, reliable and robust manner.  ...  Holeman [54] proposed EAC development using a "performance factor" that was determined based on subjective decision as a "product improved method".  ... 
doi:10.51526/kbes.2021.2.2.1-12 fatcat:xvh7tsryp5fhjbywdtrdoe5uze

Analysis of Deep Learning Techniques for Tuberculosis Disease

J. Senthil Kumar, S. Appavu alias Balamurugan, S. Sasikala
2021 SN Computer Science  
. • The best products for good people worldwide are those who use illegal drug injecting and the High-Risk Consumers TB Preventive Strategy [18] . Immunochromatographic Assay Anika Považan et al.  ...  Here, we can quickly delete the negative values. The pooling method will decrease the input size progressively. The pooling move will mitigate overlap.  ...  Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest.  ... 
doi:10.1007/s42979-021-00680-y fatcat:e4sy7ugmordgvp7wwlvkhurkv4

Improved Decision Making Through Simulation-Based Planning

Paul A. Fishwick, Gyooseok Kim, Jin Joo Lee
1996 Simulation (San Diego, Calif.)  
We introduce Simulation Based Planning as a methodology for addressing the complexity involved in Air Force missions while employing an example of air interdiction.  ...  While rule-based approaches are generally fast and are more appropriate for simple scenarios, simulation methods and dynamic models, indigenous to the simulation literature, are necessary to plan within  ...  Simulation Based Planning (SBP) SBP refers to the use of computer simulation Law 91, Fishwick 95] to aid in the decision making process.  ... 
doi:10.1177/003754979606700503 fatcat:momlf5hscvcwhn3yemrtuip5ei

A Survey of Soft Computing Approaches in Biomedical Imaging

Manju Devi, Sukhdip Singh, Shailendra Tiwari, Subhash Chandra Patel, Melkamu Teshome Ayana, Jiawen Kang
2021 Journal of Healthcare Engineering  
This paper discusses various medical imaging modalities and presents a short review of soft computing approaches such as fuzzy logic, artificial neural network, genetic algorithm, machine learning, and  ...  Medical imaging is an essential technique for the diagnosis and treatment of diseases in modern clinics. Soft computing plays a major role in the recent advances in medical imaging.  ...  [20] presented a fuzzy-based method for iterative image reconstruction in Emission Tomography (ET). In this, two simple operations, fuzzy filtering and fuzzy smoothing, are performed.  ... 
doi:10.1155/2021/1563844 pmid:34394885 pmcid:PMC8356006 fatcat:uh6xrqpiyzej5jaepkpwxwzmvq

Intelligent Flow Control under a Game Theoretic Framework [chapter]

Huimin Chen, Yanda Li
2001 Telecommunications Optimization: Heuristic and Adaptive Techniques  
Acknowledgements The node-pair encodings used in this chapter are based on an earlier encoding developed by Christos Dimitrakakis as part of an MSc in Telecommunication and Information Systems, supervised  ...  Some of the software for this work used the GAlib genetic algorithm package, written by Matthew Wall at the Massachusetts Institute of Technology.  ...  What we need instead in this context is a way to make very fast, but very good, decisions.  ... 
doi:10.1002/047084163x.ch17 fatcat:k63jsso4ingcjnkzrp2sljylb4

Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation

H. Takagi
2001 Proceedings of the IEEE  
In order to show the status quo IEC research, this paper primarily features a survey of about 250 IEC research papers rather than a carefully selected representation of a few papers.  ...  The IEC is an EC that optimizes systems based on subjective human evaluation. The definition and features of the IEC are first described and then followed by an overview of the IEC research.  ...  Acknowledgements This survey was completed with the help of several people who provided information on IEC papers, sent the papers, commented on this article, helped build a database, and prepared this  ... 
doi:10.1109/5.949485 fatcat:jwqoptm2zjeovolfhkrqsoqpfi

Learning and adaptation of an intelligent mobile robot navigator operating in unstructured environment based on a novel online Fuzzy–Genetic system

Hani Hagras, Victor Callaghan, Martin Colley
2004 Fuzzy sets and systems (Print)  
In this paper we present our novel Fuzzy-Genetic techniques for the online learning and adaptation of an intelligent robotic navigator system.  ...  The system described uses a life long learning paradigm whereby it is able to dynamically adapt to new environments and update its knowledge base.  ...  Zhang [48] had produced a method for learning behaviours of mobile robots based on B-spline fuzzy controllers.  ... 
doi:10.1016/s0165-0114(03)00116-7 fatcat:vd7zh75v5zdh5bsppwporlhblu
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